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    SAS/STAT

    Tools for Assessing a Propensity Score Model in SAS/STAT

    Michael Lamm discusses some important considerations to keep in mind when using propensity score matching to estimate a treatment effect from observational data, and highlights some tools that can help build and assess a propensity score model.

    SAS/STAT 15.1 Highlights

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    12:06
    Tools for Assessing a Propensity Score Model in SAS/STAT
    Tools for Assessing a Propensity Score Model in SAS/STAT
    12:16
    Introducing the LASSO and Elastic Net Selection Methods in the REGSELECT Procedure
    Introducing the LASSO and Elastic Net Selection Methods in the REGSELECT Procedure
    10:05
    Building and Using DAGs for Causal Inference
    Building and Using DAGs for Causal Inference
    11:10
    What’s New in SAS/STAT 15.1
    What’s New in SAS/STAT 15.1
    6:17
    Scoring Predictive Models with SAS/STAT Software
    Scoring Predictive Models with SAS/STAT Software
    11:05
    Introducing the BGLIMM Procedure for Bayesian Generalized Linear Mixed Models
    Introducing the BGLIMM Procedure for Bayesian Generalized Linear Mixed Models
    10:47
    Performing Restricted Mean Survival Time Analysis Using SAS/STAT
    Performing Restricted Mean Survival Time Analysis Using SAS/STAT
    8:42
    Performing Cause-Specific Analysis of Competing Risks Using the PHREG Procedure
    Performing Cause-Specific Analysis of Competing Risks Using the PHREG Procedure
    13:18
    Hierarchical Nonlinear Mixed Models using PROC NLMIXED
    Hierarchical Nonlinear Mixed Models using PROC NLMIXED
    10:26
    Introducing the CAUSALMED Procedure for Causal Mediation Analysis
    Introducing the CAUSALMED Procedure for Causal Mediation Analysis
    8:02
    Three Things You Should Know about Quantile Regression
    Three Things You Should Know about Quantile Regression
    13:01
    What’s New in SAS/STAT 14.2
    What’s New in SAS/STAT 14.2
    7:19
    Nonparametric Regression Modeling with the ADAPTIVEREG Procedure
    Nonparametric Regression Modeling with the ADAPTIVEREG Procedure
    5:59
    An Introduction to the HPSPLIT Procedure for Building Classification and Regression Trees
    An Introduction to the HPSPLIT Procedure for Building Classification and Regression Trees
    9:05
    Selecting Effects for Generalized Linear Models with the HPGENSELECT Procedure
    Selecting Effects for Generalized Linear Models with the HPGENSELECT Procedure

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