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The latest release of SAS/STAT® software has something for everyone. The new CAUSALMED procedure performs causal mediation analysis for observational data, enabling you to obtain unbiased estimates of the direct causal effect. You can now fit the compartment models of pharmacokinetic analysis with the NLMIXED and MCMC procedures. In addition, variance estimation by the bootstrap method is available in the survey data analysis procedures, and the PHREG procedure provides cause-specific proportional hazards analysis for competing-risks data. Several other procedures have been enhanced as well. Learn about the latest methods available in SAS/STAT software that can modernize your statistical practice. <br/><br/>Maura Stokes, SAS
Session 1844
en
jeff.foxx@sas.com
The latest release of SAS/STAT® software has something for everyone. The new CAUSALMED procedure performs causal mediation analysis for observational data, enabling you to obtain unbiased estimates of the direct causal effect. You can now fit the compartment models of pharmacokinetic analysis with the NLMIXED and MCMC procedures. In addition, variance estimation by the bootstrap method is available in the survey data analysis procedures, and the PHREG procedure provides cause-specific proportional hazards analysis for competing-risks data. Several other procedures have been enhanced as well. Learn about the latest methods available in SAS/STAT software that can modernize your statistical practice. <br/><br/>Maura Stokes, SAS
2018-04-03T15:45:21.423-04:00
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2018-04-03T15:45:21.380-04:00
SAS/STAT® 14.3 Round-Up: Modern Methods for the Modern Statistician
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