PharmaSUG2018paper·US·Real World Evidence
Combining Electronic Diary Seizure Data with Visit-Based Seizure Data in the MONEAD Study RW02
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PharmaSUG2018paper·US·Real World Evidence
Triangulating Multiple Sources of Contradictory Prescription Data – a Real-World Case Study RW04
PharmaSUG2018paper·US·Real World Evidence
Real World Patients: The intersection of Real World Evidence and Episode of Care Analytics RW05
PharmaSUG2018paper·US·Real World Evidence
Improved Transparency in Key Operational Decisions in Real World Evidence RW06
PharmaSUG2018paper·US·Regulatory (FDA/PMDA)
Common Data Related Review Issues and Prevention: A Statistical Reviewer’s Thoughts REG01
PharmaSUG2018paper·US·Regulatory (FDA/PMDA)
What Medical Reviewers Can Do With Standardized Data and Metadata Received in Module 5 REG02
PharmaSUG2018paper·US·Regulatory (FDA/PMDA)
Electronic Data Submission and Utilization in Japan REG03
PharmaSUG2018paper·China·SP - Statistics & Pharmacokinetics
Survival Analysis to Cox PH Models with Time-varying Coefficients SP-11 Beijing
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