Advanced Statistical Modeling Using the NLMIXED Procedure
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Advanced Statistical Modeling Using the NLMIXED Procedure
Duration: 2.92 hours
This course teaches you how to use the NLMIXED procedure to fit statistical models.
Learn How To
  • use the NLMIXED procedure to fit nonlinear models with random effects and zero-inflated Poisson models
  • deal with the numerical challenges of using the NLMIXED procedure.
  • Who Should Attend
    Statisticians, statistically experienced epidemiologists, social scientists, physical scientists, and business analysts
    Prerequisites
    Before attending this course, you should;
  • understand categorical data analysis (for example, logistic regression). You can complete the Categorical Data Analysis Using Logistic Regression course or have equivalent experience with and knowledge of logistic regression.
  • understand linear mixed models (the MIXED procedure). You can complete the Mixed Models Analyses Using the SAS System course or have equivalent experience with and knowledge of linear mixed models.
  • have experience with SAS programming at the level covered in the SAS(R) Programming I: Essentials course.
  • SAS Products Covered
    SAS/STAT
    Course Outline
    Overview of Nonlinear Mixed Models and PROC NLMIXED
  • introduction to nonlinear mixed models
  • Using the NLMIXED procedure for a NLMMApplications of the NLMIXED Procedure
  • fitting zero-inflated Poisson models
  • fitting other mixture models including hurdle models, zero-inlfated negative binomial models, and generalized Poisson models (Self-Study)Computational Efficiency
  • making the NLMIXED procedure run faster using techniques
  • achieving convergence with the NLMIXED procedure
  • interpreting log notes and warnings
  • THIS COURSE IS PART OF

    SAS Biostatistics​ Learning Subscription



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