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PharmaSUG2016paper·US·Quick Tips
Breaking up (Axes) Isn’t Hard to Do: A Macro for Choosing Axis Breaks QT12
PharmaSUG2016paper·US·Quick Tips
PROC SQL: To Create Macro Variables with Multiple Values and the Uses in Clinical Programming QT18
PharmaSUG2016paper·US·Quick Tips
SAS® Abbreviations: a Shortcut for Remembering Complicated Syntax QT20
PharmaSUG2016paper·US·Statistics and Pharmacokinetics
Cox proportional hazards regression to model the risk of outcomes per double increase in a continuous explanatory variable SP01
PharmaSUG2016paper·US·Statistics and Pharmacokinetics
Programming Support for Exposure-Response Analysis in Oncology Drug Development SP03
PharmaSUG2016paper·US·Statistics and Pharmacokinetics
Scrambled Data – A Population PK/PD Programming Solution SP04
PharmaSUG2016paper·US·Statistics and Pharmacokinetics
Unequalslopes: Making life easier when the proportional odds assumption fails SP05
PharmaSUG2016paper·US·Statistics and Pharmacokinetics
A Dose Escalation Method for Dual-Agent in Phase 1 Cancer Clinical Trial using the SAS MCMC Procedure SP06
PharmaSUG2016paper·US·Statistics and Pharmacokinetics
Latent Structure Analysis Procedures in SAS® SP07