• Tool

    Tool

    Toolkit for Weighting and Analysis of Nonequivalent Groups: A Tutorial on the TWANG Shiny Application for Time-Varying Treatments

    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.

    May 14, 2021

  • Journal Article

    Journal Article

    Brief Tutorial for twangContinuous

    This document provides a brief tutorial on using the twangContinous package to estimate causal effects for continuous exposure variables using generalized propensity scores estimated via generalized boosted models.

    Mar 10, 2021

  • Tool

    Tool

    Quantifying the Bias Due to Observed Individual Confounders in Causal Treatment Effect Estimates: A Tutorial for the Selection Bias Decomposition (SBdecomp) Package

    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.

    Dec 29, 2020

  • An example of Gaussian Process Regression (prediction) compared with other regression models, graph by Shiyu Ji/CC BY-SA 4.0

    Journal Article

    Optimally Balanced Gaussian Process Propensity Scores for Estimating Treatment Effects

    This paper introduces a new approach to estimating the propensity score using Gaussian processes and optimizing hyperparameters with respect to covariate balance.

    Sep 19, 2019

  • Journal Article

    Journal Article

    Optimizing Variance-Bias Trade-Off in the TWANG Package for Estimation of Propensity Scores

    This discussion highlights potentially meaningful ways to optimize propensity score machine learning methods to allow for minimal bias and less variability.

    Dec 28, 2017

  • Journal Article

    Journal Article

    Addressing Geographic Confounding Through Spatial Propensity Scores: A Study of Racial Disparities in Diabetes

    A spatial "doubly robust" estimator can minimize geographically related risk difference among racial/ethnic groups in health disparities studies.

    Dec 14, 2017

  • Tool

    Tool

    Propensity Scores for Repeated Treatments: A Tutorial for the iptw Function in the TWANG Package

    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.

    Sep 14, 2017

  • Young girl petting a cat on a veranda

    Journal Article

    No Link Found Between Pets and Kids' Health

    Contrary to popular belief, having a dog or cat in the home does not improve the mental or physical health of children. There's no evidence to support the notion that pets can improve child health by increasing physical activity and improving empathy skills.

    Aug 29, 2017

  • Tool

    Tool

    Propensity Scores for Multiple Treatments: A Tutorial on the MNPS Command for Stata Users

    This tutorial explains the syntax and features related to the implementation of the MNPS commands in the Stata TWANG series.

    May 5, 2017

  • Tool

    Tool

    Propensity Scores for Multiple Treatments: A Tutorial for the MNPS Macro in the TWANG SAS Macros

    This tutorial explains the syntax and features related to the implementation of the MNPS function in the SAS TWANG macros.

    Mar 13, 2015

  • Journal Article

    Journal Article

    A Tutorial on Propensity Score Estimation for Multiple Treatments Using Generalized Boosted Models

    The use of propensity scores to control for pretreatment imbalances on observed variables in non-randomized or observational studies examining the causal effects of treatments or interventions has become widespread over the past decade.

    Jan 1, 2013

  • Journal Article

    Journal Article

    Bias and Variance Trade-Offs When Combining Propensity Score Weighting and Regression: With an Application to HIV Status and Homeless Men

    There is a bias-variance tradeoff at work in propensity score estimation; every step toward better balance usually means an increase in variance and at some point a marginal decrease in bias may not be worth the associated increase in variance.

    Jun 1, 2012

  • Journal Article

    Journal Article

    Assessing the Effect of Race Bias in Post-Traffic Stop Outcomes Using Propensity Scores

    Due to community demands, case settlements, and state laws concerning racial profiling, police departments are collecting data on traffic stops.

    Dec 31, 2005

  • Report

    Report

    Assessing the Effect of Race Bias in Post-traffic Stop Outcomes Using Propensity Scores

    Addresses the role race plays a role in officers' use of discretion in traffic stops by proposing a technique to determine the extent to which race bias affects citation rates, search rates, and the duration of the stop.

    Dec 31, 2005

  • Report

    Report

    Propensity Score Estimation with Boosted Regression for Evaluating Causal Effects in Observational Studies

    Propensity score weights estimated using boosting eliminate most pretreatment group differences and substantially alter the apparent relative effects of adolescent substance abuse treatment.

    Dec 31, 2003