interrupted time series graph stata

A minimum of three variables are required for an ITS analysis: T⁠: the time elapsed since the start of the study in with the unit representing the frequency with which observations are taken (e.g. Seasonality can be considered a time-varying confounder; others may include levels of a particular infectious disease that is prone to outbreaks, weather events etc. Subsequently, we demonstrate the approach to statistical analysis including the main segmented regression model. Cowles Commission discussion paper Stat No. Potts and Durant had decided that the physician should be MGH''t as though I was giving it … In practice, as is the case in the worked example, the ITS design is often used in the evaluation of ‘natural experiments’ occurring in real-world settings and is becoming ever more possible with the increasing availability and quality of routine data spanning before and after interventions. R2, F-Test, and Chi2-Test, Module to calculate an ordinal explained variation statistic, Module to compute System R2, Adj. Cerca nel più grande indice di testi integrali mai esistito. ... includes the dataset used as well as code for use with the statistical packages Stata and R, ... (Box 1): the graph … But why do we need an archive for searching through packages, viewing them on ado and the help files online, and downloading them? of Labor, Module to test the impact of sampling weights in regression analysis, Module to perform White's test for heteroscedasticity, Module to perform White's test for heteroskedasticity, Module to perform multiple imputation using the Approximate Bayesian Bootstrap with weights, Module to mystically manage files on adopath, Module to compute multivariate Ljung-Box Q test, Module to convert datasets from Web of Science data from wide to long, Module to load datasets from Web of Science data, Module to write dataset in memory to new do-file as an input command, Module to write Keyhole Markup Language file, Module to estimate confidence intervals for willingness to pay measures, Module to transform the logit scores into probabilities, Module to compute standardized differences for stratified comparisons via R, Module to tabulate differences in predicted responses after restricted cubic spline models, Module to make data set of summary statistics on disk or in memory, Module to make a data set of frequencies and percents on disk or in memory, Module to calculate and graph cross-correlation function, Module to create ascending numeric lists of dates, Module to produce tabulation using categories defined by fractions of a cut-off value, Module to create a grouping variable with key values in an output dataset, Module to save Excel files as Stata datasets, Module to provide Stata Dialog Box to Import Excel Files into Stata, Module to save results in Excel XML format, Module to calculate sample size for cross-over trials with continuous measures, Module for spatial panel data models estimation, Module to convert a matrix to variables in an output dataset, Module to extend xtabond dynamic panel data estimator, Module to perform Monte Carlo analysis for dynamic panel data models, Module to transform the dataset into balanced Panel Data, Module to investigate Variable/Residual Cross-Section Dependence, Module to compute Pesaran Panel Unit Root Test in the Presence of Cross-section Dependence, Module to test for cross-sectional dependence in panel data models, Module to investigate Residual Cross-Section Independence, Module to estimate errors-in-variable model with mismeasured regressors, Module to compute Fisher type unit root test for panel data, Module to execute Fama-MacBeth two-step panel regression, Module to produce graphs of cross-sectional time series (xt) data, Module to compute Identification Variables in Panel Data, Module to create a new variable that categorizes exp by its quantiles, Module to calculate percentile and quantile for a numeric variable, Module to estimate panel time series models with heterogeneous slopes, Module to report missing observations for each variable in xt data, Module to compute model-implied intracluster correlations after xtmixed, Module to analyze and display interactions based on time-series data, Module to calculate intra-class correlations after xtmixed, Module to calculate tests of overidentifying restrictions after xtreg, xtivreg, xtivreg2, xthtaylor, Module to generate code showing pattern of xt data, Module to generate string variable describing panel patterns, Module to perform Pedroni's panel cointegration tests and Panel Dynamic OLS estimation, Module to estimate Fixed-effects Poisson (Quasi-ML) regression with robust standard errors, Module to estimate Amemiya Random-Effects Panel Data: Ridge and Weighted Regression, Module to estimate Between-Effects Panel Data: Ridge and Weighted Regression, Module to estimate Balestra-Nerlove Random-Effects Panel Data: Ridge and Weighted Regression, Module to estimate Han-Philips (2010) Linear Dynamic Panel Data Regression, Module to estimate Fixed-Effects Panel Data: Ridge and Weighted Regression, Module to estimate MLE Random-Effects with Multiplicative Heteroscedasticity Panel Data Regression, Module to estimate Trevor Breusch MLE Random-Effects Panel Data: Ridge and Weighted Regression, Module to estimate random effects model with weights, Module to estimate Fuller-Battese GLS Random-Effects Panel Data: Ridge and Weighted Regression, Module to estimate Swamy-Arora Random-Effects Panel Data: Ridge and Weighted Regression, Module to estimate Within-Effects Panel Data: Ridge and Weighted Regression, Module to estimate Wallace-Hussain Random-Effects Panel Data: Ridge and Weighted Regression, Module to compute Semiparametric Fixed-Effects Estimator of Baltagi and Li, Module to estimate seemingly unrelated regression model on unbalanced panel data, Module to perform Breusch-Pagan LM test for cross-sectional correlation in fixed effects model, Module to compute Modified Wald statistic for groupwise heteroskedasticity, Module to compute tables of transition probabilities, Module to compute confidence intervals for the variance component of random-intercept linear models, Module to crossvalidate an OLS regression, Module to calculate Zivot-Andrews unit root test in presence of structural break, Module to score Zurich Claudication Questionnaire, Module to calculates seats in party-list proportional representation, Module to sort a single variable via egen, Module to compute relative difference between successive observations, Module containing extensions to generate to implement weighted mean, Module to allow egen to compute the average characteristics of peers in a given unit (school, firm, etc.) This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, Use of antidepressants and endometrial-cancer risk: a nationwide nested case–control study, Reproductive factors and gall-bladder cancer, and the effect of common genetic variants on these associations: a case–control study in India, Reflection on modern methods: combining weights for confounding and missing data, Solid fuel use, socioeconomic indicators and risk of cardiovascular diseases and all-cause mortality: a prospective cohort study in a rural area of Sichuan, China, Circulating levels of maternal vitamin D and risk of ADHD in offspring: results from the Vitamin D Antenatal Asthma Reduction Trial, About International Journal of Epidemiology, About the International Epidemiological Association, http://creativecommons.org/licenses/by/4.0/, Receive exclusive offers and updates from Oxford Academic. Cheap essay writing sercice. Found insideCode i4en Matlab and Stata for calculating the optimal bandwidth is ... by three graphs labeled as follows: (a) An interrupted time series model with good ... Whether you are looking for essay, coursework, research, or term paper help, or with any other assignments, it is no problem for us. Poverty Guideline value for a given family size and year, Module to provide poverty estimates in the absence of actual consumption data, Module to compute aggregate intertemporal poverty measures (poverty in a panel accounting for time), Module to perform general power and sample size calculations, Module to calculates posterior probabilities for heterogeneity in a meta-analysis, Module to draw sample with probability proportionate to size, using Chromy's method of sequential random sampling, Module to calculate out-of-sample predictions for regression, logistic, Module to calculate predicted means, medians, or proportions for nominal X's, Module to calculate predicted means, medians, or proportions for a continuous X variable, Module to write code and data file needed to process variables in PARSCALE, Module to facilitate a one-by-one observation of varlist to make it easier to control data and labels, Module to calculate probabilities for Binomial, Poisson, and Normal Distributions, Module for Efficient Probit Estimation with Partially missing Covariates, Module to create product variables for two lists of input variables, Module to construct profile likelihood confidence intervals for haplotype analysis, Module to measure distributive effects of an income tax, Module providing a set of tools to build and manage a Stata project, Module to list programs, help files, dialogs, Module to compute Shared Prosperity Convergence Index, Module to calculate the PRWE scores from your records, Module to send email from within Stata for Windows environment, Module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing, Module providing a penalized spline scatterplot smoother based on linear mixed model technology, Module to create proportional Venn diagram, Module to compute the present value of a series of equal payments (cash flows), Module to compute the present value of a series of payments (cash flows), Module to compute pairwise correlations and return results, Module to print wide correlation matrix with significance indicators, Module to compute pairwise multiple comparisons (unequal variances), Module to plot power curve for sample size and power calculation, Module for using the Python language within Stata, Module to perform quadratic assignment procedure, Module to generate quantile envelopes for quantile-quantile plots, Module to compute model selection criterion in GEE analyses, Module to implement Elliott-M��ller efficient test for general persistent time variation in regression coefficients, Module to estimate Rousseeuw and Croux (1993) robust measure of dispersion, Module to access Quality of Government codebooks, Module to plot the unweighted and weighted quantiles of one variable against the corresponding quantiles of another, Module to generate quasi-q-values by inverting multiple-test procedures, Module to perform quantile regression with robust and clustered standard errors, Module to provide graphical depiction of quality assessment in diagnostic accuracy reviews, Module to obtain data from Quandl using the Quandl API, Module to compute intraclass correlation and standard error calculation after xtmixed, Module providing a self-producing program, Module to generate adjusted R squared after regression, Module to compute McKelvey & Zavoina's R2, Module to compute several fit statistics for count data models, Module to perform Overall System (NL-SUR) System R2, Adj. 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LibriVox is a hope, an experiment, and a question: can the net harness a bunch of volunteers to help bring books in the public domain to life through podcasting? the , . Voraus denken elementar versichern. Stata 连享会2018.11现场班：内生性专题课程介绍史上最全的 Stata 外部命令一览，可以在线查看帮助文件。Stata连享会 精彩推文1 || 精彩推文2Source: Archive of user-written Stata packages导言这里汇集了截至 2015年1月1日 为止的所有 Stata 外部命令。可以在线查看每个外部命令的帮助文件。 , Habicht J-P, Bryce J. Campbell A companion to the author's earlier work, Forecasting with Univariate Box-Jenkins Models: Concepts and Cases, the present text pulls together recent time series ideas and gives special attention to possible intertemporal patterns, ... Achieveressays.com is the one place where you find help for all types of assignments. We would like to show you a description here but the site won’t allow us. the , . We also understand you have a number of subjects to learn and this might make it hard for you to take care of all the assignments. Paper is a thin nonwoven material traditionally made from a combination of milled plant and textile fibres. itsa Module to perform interrupted time series analysis for single and multiple groups itsp_ado Module to accompany Introduction to Stata Programming book ivactest Module to perform Cumby-Huizinga test for autocorrelation after IV/OLS estimation ivcheck Module to choose between OLS and contaminated IV itsa Module to perform interrupted time series analysis for single and multiple groups itsp_ado Module to accompany Introduction to Stata Programming book ivactest Module to perform Cumby-Huizinga test for autocorrelation after IV/OLS estimation ivcheck Module to choose between OLS and contaminated IV The bar graph shows the share of the cash benefits (total ¥100,000) distributed in each week. We also understand you have a number of subjects to learn and this might make it hard for you to take care of all the assignments. (2008) robust Jarque-Bera Normality test, Module to estimate long memory in a set of timeseries, Module providing robust regression estimators, Module to perform robust variance estimation in meta-regression with dependent effect size estimates, Module to estimate minimally important change (MIC) thresholds for continuous clinical outcome measures using ROC curves, Module to calculate ROC curve and other statistics for any classification method, Module to perform rolling window and recursive estimation, Module to perform rolling regression estimation, Module to compute rolling-window statistics for time series or panel data, Module for handling Roman numerals and decimal equivalents, Module for converting roman numerals to arabic numbers, Module to perform parallel computation on sequences of matrices in Mata, Module to create row ranks of a set of variables, Module to row sort a set of integer variables, Module to provide a Mata generic function evaluator based on Reverse Polish Notation, Module to compute Reynal-Querol index of ethnic polarization, Module to estimate linear probability model for randomized response data, Module to perform Oort's Structural Equations Modeling (SEM) based procedure to detect Response Shift, Module to perform reproducible random sorting of dataset, Module to run R from inside Stata using an R source file, Module to run the MIXREGLS software from within Stata, Module to run the MLwiN multilevel modelling software from within Stata, Module for symmetric nearest neighbour smoothing, Module to compute within group interrater reliability, Module to drop variables if and only if varnames specified in full, Module to compute sample size for an intra-class correlation (ICC), Module to draw a random sample with probabilities proportional to size, Module to execute sampsi multiple times and produce a graph, Module to compute exact sample size calculation for single-stage designs, Module to calculate Sample Size or Power for Matched Case-Control Studies, Module to calculate the sample size/power for linear regression, Module to compute sample size for a Pearson correlation, Module to calculate the sample size for self controlled case series study designs, Module to save output from a command in a file on disk, Module to save data to SPSS (.sav) system file, Module to implement the Harding and Pagan (2002) business cycle dating algorithm, Module to generate scatter plot with one y variable shown by vertical bars, Module to calculate the Spearman-Brown reliability, Module to calculate Spearman-Brown reliability correction for test length, Module for crude three-dimensional graphics, Module to create 3D scatter plots for the web, using HTML5 3D feature and java api developped by CanvasXpress, Module to provide a ColorBrewer-inspired graphics scheme with qualitative and blue-to-red diverging colors, Module to provide graphics scheme for UK Medical Research Council, Module to provide minimal monochrome graphics schemes, Module to provide a Tufte-inspired graphics scheme, Module to perform symmetrically censored least squares, Module to process data for Social Cognitive Mapping, Module to perform Score test of normality for probit and bivariate probit, Module to perform a score test for equality of parameters across groups of observations, Module to create scores (row-wise) of a set of variables allowing the specification of the number of valid values required, Module to rescale variables measured with a limited rating scale, Module to plot SD line or reduced major axis, Module to calculate tests for seasonality with a variable population at risk, Module to compute multiple-group diversity and segregation indices, Module to transform indicator variables coefficients in semilog model, Module for selecting all possible n-tuples from a varlist, Module to compute standard error of mean (optionally from transformed data), Module to compute Robinson's (1988) semiparametric regression estimator, Module to encode a string variable non-alphanumerically into a numeric variable, Module to compute sensitivity for matching estimators, Module to compute sensitivity and specificity results saved in generated variables, Module to draw scatter (or other twoway) plots separated by a third variable, Module to estimate a Selection Endogenous Treatment Poisson model by MSL, Module to to set random-number seed using truly random integer from random.org, Module to calculate summary statistics for the SF-36 Health Survey Instrument, Module to compute the scores of the French versions of the SF36 questionnaire, Module for cross-sectional stochastic frontier models estimation, Module for panel data stochastic frontier models estimation, Module to perform additive decomposition of sample statistic, Module to compute additive decomposition of estimation statistics by regressors or groups of regressors, Module to return the short Windows directory path name, Module for descriptive statistics based on shortest halves, Module to to show graphs previously saved, Module to show nearby values of numeric variable, Module to converts shape boundary files to Stata datasets, Module to shuffle variables relative to the rest of the dataset, Module to count statistically significant coefficients across models, Module to process data generated by IRT models, Module to to compute the design parameters for a Simon two-stage design, Module creating a plot describing p-values from a simulation by comparing nominal significance levels with the coverages, Module to evaluate the effect of missing data on a published clinical trial, Module to perform analyses of simulation studies including Monte Carlo error, Module to display six diagnostic and descriptive graphs for a single variable, Module to compute effect size correlations, Module to generate a sample from a bimodal distribution using normal or skewed (skew-normal) unimodal distributions, as defined by the user, Module to calculate Skillings-Mack statistic, Module to generate a sample from a normal or skewed (skew-normal) distribution, as defined by the user, Module to perform Lagrange Multiplier Test for Normality for Probit model, Module for time series or other plot in slices, Module for sliding bar plot for frequencies or percents, Module to manage linked SMCL presentations, Module to "smart list" variables in compact format, Module to perform semiparametric least squares, Module to conduct Small-Hsiao test for IIA in multinomial logit, Module to compute Sherman-Morrison-Woodbury rank-k update to matrix inverse, Module to calculate Kendall's tau-a, Somers' D and median differences, Module to implement the stereotype ordinal regression model, Module to sort factor loadings or rotated matrix from PCA or factor, Module to sort observations according to a specified order, Module to create aggregate source or target contagion spatial effect variable for directed dyadic data, Module to produce scatter plot and y-x regression line, Module to estimate Spatial (Lag-Error-Durbin-SAC-SPGKS-SPGSAR-GS2SLS-GS3SLS-SPML-SPGS-SPIVREG-IVTobit), Module to Convert Cross Section to Panel Spatial Weight Matrix, Module to create directed dyad contagion spatial effect variable, Module to calculate Spearman rank correlations, extended, Module to create dataset of stratum-specific, unadjusted and standardized rates, Module to produce specific histograms for continuous variables, Module to obtain expression that evaluates to specified string, Module for identification of spells or runs of similar values, Module to estimate Spatial Panel Autoregressive Generalized Least Squares Regression, Module to estimate Spatial Autoregressive Generalized Method of Moments Cross Sections Regression, Module to estimate Spatial Panel Autoregressive Generalized Method of Moments Regression, Module to generate two-dimensional grids for spatial data analysis, Module to generate spike plot showing fine structure of the data, Module for spine plots for two-way categorical data, Module to perform kernel estimation of density and intensity functions for two-dimensional spatial point patterns, Module to generate spatially lagged variables, construct the Moran Scatter plot, and calculate Moran's I statistics, Modules for splitting string variables into parts, Module to split up value labels for multi-line graph labelling, Module to create spatial effect variable for monadic data, Module to Estimate (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression Models, Module to estimate Multiparametric Spatio Temporal AutoRegressive Regression Spatial Durbin Cross Sections Models, Module to Estimate (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Durbin Multiplicative Heteroscedasticity Cross Sections Models, Module to estimate (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Durbin Multiplicative Heteroscedasticity Panel Models, Module to Estimate (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Durbin Panel Models, Module to Estimate (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Lag Multiplicative Heteroscedasticity Cross Sections Models, Module to Estimate (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Lag Multiplicative Heteroscedasticity Panel Models, Module to Estimate (m-STAR) Spatial Panel Multiparametric Spatio Temporal AutoRegressive Regression Models, Module for cross-section spatial-autoregressive models, Module to estimate Spatial Panel Han-Philips Linear Dynamic Regression: Lag & Durbin Models, Module to estimate Spatial Panel Arellano-Bond Linear Dynamic Regression: Lag & Durbin Models, Module to compute Spatial Panel Fixed Effects Regression: Lag and Durbin Models, Module to Estimate Spatial Panel Random-Effects Multiplicative Heteroscedasticity Regression: Lag and Durbin Models, Module to compute Spatial Panel Random Effects Regression: Lag and Durbin Models, Module to estimate Maximum Likelihood Estimation AutoCorrelation (SAC) Cross Section Regression, Module to Estimate Maximum Likelihood Estimation Spatial AutoCorrelation (SAC) Panel Regression, Module to estimate Maximum Likelihood Estimation Spatial Lag Cross Sections Regression, Module to Estimate Maximum Likelihood Estimation Spatial Lag Panel Regression, Module to Estimate Maximum Likelihood Estimation Spatial Durbin Cross Sections Regression, Module to Estimate Maximum Likelihood Estimation Spatial Panel Durbin Regression, Module to Estimate Maximum Likelihood Estimation Spatial Error Cross Sections Regression, Module to Estimate Maximum Likelihood Estimation Spatial Error Panel Regression, Module to calculate goodness-of-fit measures in spatial autoregressive models, Module to create specific source or target contagion spatial effect variable for directed dyadic data, Module to Estimate Tobit (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Lag Cross Sections Models, Module to Estimate Tobit (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Durbin Cross Sections Models, Module to Estimate Tobit (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Durbin Multiplicative Heteroscedasticity Cross Sections Models, Module to Estimate Tobit (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Durbin Multiplicative Heteroscedasticity Panel Models, Module to estimate Tobit (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Durbin Panel Models, Module to Estimate Tobit (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Lag Multiplicative Heteroscedasticity Cross Sections Models, Module to estimate Tobit (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Lag Multiplicative Heteroscedasticity Panel Models, Module to estimate Tobit (m-STAR) Spatial Multiparametric Spatio Temporal AutoRegressive Regression: Spatial Lag Panel Models, Module to Estimate Tobit MLE Spatial Autocorrelation Cross Sections Regression, Module to estimate Tobit MLE Spatial AutoCorrelation (SAC) Panel Regression, Module to Estimate Tobit MLE Spatial Lag Cross Sections Regression, Module to estimate Tobit MLE Spatial Lag Panel Regression, Module to Estimate Tobit MLE Spatial Durbin Cross Sections Regression, Module to estimate Tobit MLE Spatial Panel Durbin Regression, Module to Estimate Tobit MLE Spatial Error Cross Sections Regression, Module to estimate Tobit MLE Spatial Error Panel Regression, Module to compute Cross Section Spatial Weight Matrix, Module to compute Panel Spatial Weight Matrix, Module to assign first nearest neighbors to observations with no contiguous neighbors, Module to generate, import, and export spatial weights, Module to estimate Tobit Spatial Panel Autoregressive Generalized Least Squares Regression, Module for estimating process capability indices with tutorial, Module to make graphs square, or any other shape, Module to calculate ratio study statistics, Module -- some notes on SSC Archive use for Stata users, Module to estimate sample size for randomized controlled trials, Module to calculate sample size and power for the comparison of two or more proportions, Module to compute sample size for the kappa-statistic measure of interrater agreement, Module to calculate slope coefficients for regression interactions, Module to estimate endogenous switching and sample selection models for binary, count, and ordinal variables using ML, Module to generate seasonal subseries plots, Module to generate a Dataset of Descriptive Statistics Calculated for a List of Variables, Module to export data to Pajek .net format, module to provide Java library of helper classes for Stata plug-ins, Module for plots of summary statistics, including by 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estimate piecewise-constant hazard rate models, Module to estimate flexible parametric survival models, Module to estimate cumulative incidence function after running stpm2, Module for estimation of crude mortality after fitting stpm2 relative survival model, Module to estimate quantiles for survival time, Module to compute explained variation for survival models, Module to replace string date variables with numeric date variables with the same names, Module to calculate the Levenshtein distance, or edit distance, between strings, Module to generate string variables without knowing string type, Module to match strings based on their Levenshtein edit distance, Module for strip plots (one-way dot plots), Module to recode string variables according to rules, Module to compute difference in Kaplan-Meier survival curves, Module for flexible imputation of censored survival data, Module to calculates sample size and power for comparative studies, Module -- suggestions on programming style, 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calculate predicted means or proportions for nominal X's for survey data, Module to calculate predicted means or proportions for a continuous X variable for survey data, Module to calculate sample size for a simple random survey with a dichotomous outcome, Module to compute selectivity adjustment based on the multinomial logit for survey design, Module to Create Tables for export Combining Multiple Survey Tabulations, Module for swapping values of two variables, Module to perform parsimonious model selection in haplotype analysis, Module to bootstrap stepwise linear or logistic regression models, Module to evaluate a given value against possible cases and their corresponding values, Module to transpose string variable dataset, Modules to perform tests of symmetry for NxN contingency tables, Module to highlight syntax in SMCL and translate to HTML format, Module to implement Synthetic Control Methods for Comparative Case Studies, Module to perform Tukey's Two-Way Analysis by Medians, Module to handle two-way tables with percentages, Module to handle three-way tables with percentages, Module to tabulate frequencies satisfying specified conditions, Module to export tables of summary statistics to text files, Module to create "table 1" of baseline characteristics for a manuscript, Module to add column percentages to table command, Module to produce and export table of results in a matricial format, Module for percent calculation prior to table, Module to produce multiple two-way tabulations, Module for exporting single or multiple one-way tabulations into various formats, Module to export publication quality cross-tabulations, Module to save matrices saved by tabstat to single named matrix, Module to save results in XML format for use in Microsoft Excel and OpenOffice Calc, Module to estimate and graph bivariate density with heat map, Module to analyze third-degree price discrimination, Module to provide a code-testing framework for Mata, Module to produce LaTeX documents from estout with threeparttable, Module to produce horizontal text and bar plot, Module -- some notes on text editors for Stata users, Module to insert text into an open text file, Module to produce transformations of variables, Module to perform Theil-Goldberger mixed estimation of regression equation, Module to plot graph with transformed axes, Module to compute Theil R2 Multicollinearity Effect, Module to test for time invariant unobserved heterogeneity in GLMs for panel data, Module for univariate kernel density estimation with calculation on transformed scale, Module to tokenize string into named macros, Module to estimate Tobit Multiplicative Heteroscedasticity Regression, Module to generate tolerance intervals from input data, Module to rename variables with lower case names, Module to make vectors in Mata of variables in Stata, Module to change values of a variable to mode(s), Module to facilitate transfer of data to RATS, Module to generate predictions from Tobit model, Module to generate turning-point variable for graphics labelling, Module providing prefix command to trace program execution, Module to generate travel time and travel distance information, command to retrieve travel time and road distance between two locations, Module to estimate Average Treatment Effects by reweighting on propensity score, Module for trimmed means as descriptive or inferential statistics, Module to mount or dismount TrueCrypt volumes, Module to run all possible subset regressions, Module to generate time-series calendar variable, Module for identification of spells or runs in time series, Module to produce formatted tables with t-test for two-groups mean-comparison, Module to produce Mean Comparison for many variables between two groups with formatted table output, Module to compute differences in means by groups including the T-test, Module for selecting all possible tuples from a list, Module to estimate the Turnbull empirical distribution estimator of willingness to pay, Module to perform multiple imputation using the two-fold fully conditional specification algorithm to impute missing values in longitudinal data, Module to generate area graph with pattern fills (Windows only), Module to define value labels from ASCII (text) file, Module to compute unbiased errors-in-variables estimator and variants from grouped data, Module to perform O'Brien's Umbrella test, Module   Module to compute aggregate households employment deprivation (or unemployment) measures, Module to report number of unique values in variable(s), Module to abort the program if the specified variables don't collectively account for every observation, Module to display a univariate table for a binary outcome variable, Module to generate univariate summary with box-and-whiskers plot, Module to produce summary statistics in matrix form, Module to perform Elliott-Jansson test for unit roots with stationary covariates, Module to get US dollar exchange rates from the Federal Reserve, Module to use and describe version 10 datafiles in Stata 9.2, Module to save matched Stata 10/11 files, from within Stata 9+, in Stata 9 format, Module to import Stata 13 (*.dta) data into older versions of Stata, Module to load sets of matched Stata 13-files into Stata 10-12 and saving them in older formats readable for the Stata 10-12 user, Module to list value labels and variables using them, Module to find and install a list of user-written packages needed to run a do-file, Module to import data stored in XML format, Module to provide US state map coordinates for tmap, Module to provide US county map coordinates for tmap, Module to provide US state and county spatial weight (contiguity) matrices, Module to test for a U-shaped relationship, Module to pack values and labels into a new string variable, Module to list distinct values of a variable, Module to rename value labels to match variable names, Module to return the contents of a variable in a macro, Module to compute teacher value-added measures, Module to perform van Elteren's test (generalized Wilcoxon-Mann-Whitney ranksum test), Module to toggle the case of variable names, Module to define a value label with values corresponding to variables, Module to transform values of a variable in local, Module to Generate Row Product of Variables, Module to search variable names and labels, Module to set variable types for codebook2, Module to import VCF (Variant Caller Format) Files into Stata and format genotype data, Module to calculate distances on the Earth's surface, Module to produce violin plots with current graphics, Module to compare value labels across datasets, Module to generate variables and descriptive labels based on how the variables were generated, Module to expand variable list in command syntax, Module to match variables between subjects, Module to provide a wrapper for the Stata merge command that provides additional details regarding the results of the update and replace options, Module to reorder variables in dataset based on sorted values, Module to reverse existing categorical variable, Module to perform linear regression variable selection, Module to fit Weibull distribution by maximum likelihood, Module to perform conditional logistic regression with within-group varying weights, Module to compute earnings discrimination statistics, Module to perform weak-instrument-robust tests and confidence intervals for instrumental-variable (IV) estimation of linear, probit and tobit models, Module to perform weak instrument test for a single endogenous regressor in TSLS and LIML, Module to produce dynamic reports in HTML and PDF, Module to Get Weekly Initial Jobless Claims from the US Dept. 1, smoking ban: 0, smoking ban: 0, smoking ban not in place ;,! 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