This tutorial describes the use of the TWANG package in R to estimate propensity score weights when there are two treatment groups, and how to use TWANG to estimate nonresponse weights. Specifically, it describes the "ps" function (which stands for Propensity Scores), the proper syntax for using the function, and the features the function contains.
In this tool, the authors explain the methodology behind the primary function of the selection bias decomposition (SBdecomp) package; describe its features, syntax and how to implement the function; and illustrate its use with an example.
This tutorial describes the use of the TWANG package in R to estimate propensity score weights when there are more than two treatments. Specifically, it describes the "mnps" function (which stands for Multinomial Propensity Scores), the proper syntax for using the function, and the features the function contains.
This document provides a brief tutorial on using the twangContinous package to estimate causal effects for continuous exposure variables using generalized propensity scores (GPSs) estimated via generalized boosted models (GBMs).
This tutorial describes the use of the TWANG package in R to estimate inverse probability of treatment weights (IPTWs) when one has time varying treatments or sequences of treatments over time. Specifically, it describes the "iptw" function (which stands for Inverse Probability of Treatment Weight), the proper syntax for using the function, and the features the function contains.
This tutorial demonstrates the use of the Toolkit for Weighting and Analysis of Nonequivalent Groups Shiny application for time-varying treatments -- for cases when the time-varying treatment or exposure is binary -- using an illustrative example.
This tutorial describes how to use a menu-driven Shiny app based on the Toolkit for Weighting and Analysis of Nonequivalent Groups (TWANG) R package. It can be used to estimate propensity score weights and treatment effects for binary treatments.
This tutorial describes how to use a menu-driven Shiny application based on the Toolkit for Weighting and Analysis of Nonequivalent Groups (TWANG) R package.
The Toolkit for Weighting and Analysis of Nonequivalent Groups, or TWANG, contains a set of functions to support causal modeling of observational data through the estimation and evaluation of propensity score weights.
This tutorial explains the syntax and features related to the implementation of the MNPS function in the SAS TWANG macros.
This tutorial provides an introduction to TWANG and demonstrates its use through illustrative examples. This tool includes the TWANG commands for Stata, a tutorial on their use, and the sample code and datasets used in the tutorial.
This tutorial explains the syntax and features related to the implementation of the MNPS commands in the Stata TWANG series.
