PharmaSUG2016paper·US·Beyond the Basics
Superior Highlighting: Identifying New or Changed Data in Excel Output using SAS® BB06
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PharmaSUG2016paper·US·Beyond the Basics
Meaningful Presentation of Clinical Trial Data with Multiple Y-Axes Graph BB07
PharmaSUG2016paper·US·Beyond the Basics
Novel Programming Methods for Change from Baseline Calculations BB08
PharmaSUG2016paper·US·Beyond the Basics
Name that Function: Punny Function Names with Multiple MEANings and Why You Do Not Want to be MISSING Out BB10
PharmaSUG2016paper·US·Beyond the Basics
Surviving the SAS® Macro Jungle by Using Your Own Programming Toolkit BB11
PharmaSUG2016paper·US·Beyond the Basics
Preparing the Data to Ensure Correct Calculation of Relative Risk BB12
PharmaSUG2016paper·US·Beyond the Basics
The Power of Data Access Functions: An example with Dataset-XML Creation BB13
PharmaSUG2016paper·US·Beyond the Basics
The Impact of Change from wlatin1 to UTF-8 Encoding in SAS Environment BB15
PharmaSUG2016paper·US·Beyond the Basics
UTF What? A Guide to Using UTF-8 Encoded Data in a SDTM Submission BB16
PharmaSUG2016paper·China·CDISC
Practical Experience in Implementing CDISC Standards for Global Cardiovascular, Clinical Outcome Assessment and Respiratory Trials CD-01 Beijing
PharmaSUG2016paper·China·CDISC
From Data Collection to Regulatory Submission - a Journey CD-02 Beijing
PharmaSUG2016paper·China·CDISC
ADaM Compliance VS Easy-Reviewed in Design and Construct Efficacy Analysis Datasets CD-05 Beijing
PharmaSUG2016paper·China·CDISC
How to handle the mapping of the eCRF form with the combined information CD-06 Beijing
PharmaSUG2016paper·China·CDISC
Analysis of Patient Reported Outcome (PRO) Endpoints in Clinical Trial CD-07 Beijing
PharmaSUG2016paper·China·CDISC
Development Approach on the Sponsor-Defined Extensions of the Model CD-08 Beijing