PharmaSUG2018paper·China·SP - Statistics & Pharmacokinetics
Survival Analysis to Cox PH Models with Time-varying Coefficients SP-11 Beijing
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PharmaSUG2018paper·China·SP - Statistics & Pharmacokinetics
A SAS Macro for Continuous Glucose Monitoring (CGM) Data Analysis SP-28 Beijing
PharmaSUG2018paper·China·SP - Statistics & Pharmacokinetics
Statistical Programming Analysis of Percentage of Responders in Alzheimer’s Disease SP-48 Beijing
PharmaSUG2018paper·China·SP - Statistics & Pharmacokinetics
Sense and Censorability: Learn censoring techniques with ADTTE for your survival SP-63 Beijing
PharmaSUG2018paper·China·SP - Statistics & Pharmacokinetics
Let’s Get FREQy with our Statistics: Data Driven Approach to Determining Appropriate Test Statistic SP-67 Beijing
PharmaSUG2018paper·China·SP - Statistics & Pharmacokinetics
Several methods to test the proportional hazard assumption before applying cox models SP-75 Beijing
PharmaSUG2018paper·US·Strategic Implementation
Let’s get to the Source and streamline it to the End SI01
PharmaSUG2018paper·US·Strategic Implementation
Risk-based Validation in Clinical Trial Reporting: Focus on What Matters Most SI02
PharmaSUG2018paper·US·Strategic Implementation
An eSubmission Tracking Tool for both Components and Timelines SI03
PharmaSUG2018paper·US·Strategic Implementation
Machine Learning – Why we should know and How it works SI06
PharmaSUG2018paper·US·Strategic Implementation
Regulatory Compliance in the digital age – A cloud-based statistical computing environment (SCE) to the rescue SI09
PharmaSUG2018paper·US·Strategic Implementation
TECHNIQUES FOR GLOBAL, ADAPTABLE, AND EFFICIENT PROGRAMMING SI10
PharmaSUG2018paper·US·Strategic Implementation
Validating R – Part of the Uphill Battle in the Pharmaceutical Industry SI13