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    SAS/STAT

    Introducing the BGLIMM Procedure for Bayesian Generalized Linear Mixed Models

    Amy Shi introduces PROC BGLIMM (Bayesian generalized linear mixed models). This procedure is designed for fitting generalized linear mixed models. It enables you to model missing data, nested or nonnested multilevel models and repeated-measures data.

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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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