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proc plm

21 papers; 16 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG 2022 Simple and Efficient Bootstrap Validation of Predictive Models Using SAS/STAT Software Matthew T. Slaughter,
Isaiah Lankham
source 22
SGF 2021 A Framework for Simple and Efficient Bootstrap Validation in SAS, with Examples Isaiah Lankham,
Matthew T. Slaughter
source 22
SGF 2019 SCORE! Techniques for Scoring Predictive Regression Models Using SAS/STAT Software Phil Gibbs,
Randy Tobias
source 18
MWSUG 2018 Tips, Tricks, and Traps on Longitudinal Data Analysis with Discrete and Continuous Times Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Gray Ficker,
Gretchen Piatt
20
MWSUG 2016 Use Multi-Stage Model to Target the Most Valuable Customers Chao Xu,
Jing Ren,
Hongying Yang
10
MWSUG 2016 Using SAS to Generate p-Values with Monte Carlo Simulation Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Michael Woodford,
Gloria Palmisano,
Gretchen Piatt,
Michele Heisler
14
MWSUG 2015 Advanced Techniques for Fitting Mixed Models Using SAS/STAT Software Jill Tao,
Kathleen Kiernan,
Phil Gibbs
18
WUSS 2015 Advanced Techniques for Fitting Mixed Models Using SAS/STAT Software Phil Gibbs,
Jill Tao,
Kathleen Kiernan
source 18
PharmaSUG 2015 Confidence Intervals Are a Programmer's Friend Xinxin Guo,
Zhaohui Su
source 8
SGF 2015 Advanced Techniques for Fitting Mixed Models Using SAS/STAT Software Kathleen Kiernan source 18
SGF 2015 Using and Understanding the LSMEANS and LSMESTIMATE Statements David J. Pasta source 20
SESUG 2014 Making Comparisons Fair: How LS-Means Unify the Analysis of Linear Models Weijie Cai source 22
WUSS 2014 Using and Understanding LSMEANS and LSMESTIMATE David J. Pasta source 20
SGF 2014 Making Comparisons Fair: How LS-Means Unify the Analysis of Linear Models Weijie Cai source 22
SGF 2013 Being Continuously Discrete (or Discretely Continuous): Understanding Models with Continuous and Discrete Predictors and Testing Associated Hypotheses David J. Pasta source 19
WUSS 2012 Being Continuously Discrete (or Discretely Continuous): Understanding Models with Continuous and Discrete Predictors and Testing Associated Hypotheses David J. Pasta source 19
PharmaSUG 2011 CONTRAST and ESTIMATE Statements Made Easy: The LSMESTIMATE Statement Kathleen Kiernan,
Randy Tobias,
Phil Gibbs,
Jill Tao
source 19
SGF 2011 CONTRAST and ESTIMATE Statements Made Easy: The LSMESTIMATE Statement Kathleen Kiernan,
Randy Tobias,
Phil Gibbs,
Jill Tao
source 19
SGF 2011 Visualizing Marginal Effects from Interactions in Generalized Linear Models Xiao Chen,
Brigid Wilson
source 7
SGF 2010 Everything in Its Place: Efficient Geostatistical Analysis with SAS/STAT Spatial Procedures Alexander Kolovos source 18
SGF 2010 Introducing PROC PLM and Postfitting Analyses in Very General Linear Models Randy Tobias,
Weijie Cai
source 18

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