missing not at random

15 papers; 14 titles.

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Conference ×	Year ×	Title ×	Authors	Extras	Pages
PharmaSUG CN	2026	Handling Missing Data in Analgesia Clinical Trials and Corresponding SAS Implementation	Jingbo Zhu, Jiehan Zhang	source	17
PHUSE US	2026	Framework for Incorporating Estimands within the Statistical Analysis Plan	Inderjeet Arora	source presentation source	9
PHUSE APAC	2026	Advancing Clinical Trial Analysis with Trimmed Means: Estimands, Intercurrent Events, and Regulatory Alignment	Prasanth Palanisamy	source presentation source	9
PHUSE EU	2025	Multiple Imputations Overview of Missing Data Problem, Solution Methods and SAS Implementation	Dmytro Kalinin	source presentation source	13
PharmaSUG	2025	Handling Missing Data in External Control Arms: Best Practices, Recommendations, and SAS Code Examples	Yutong Zhang	source	6
PharmaSUG	2025	The Current State of Teaching Biostatistics in Academia: Challenges and Software Solutions	Lida Gharibvand	source	5
PHUSE EU	2024	Estimands: How to Make ADaM Implementation Your Friend	Jaclyn Amberg	source presentation source	10
PHUSE EU	2020	MI FOR MI, OR HOW TO HANDLE MISSING INFORMATION WITH MULTIPLE IMPUTATION	Daria Shamaida	source video presentation source	8
SGF	2020	Dealing with Missing Data in Epidemiological and Clinical Research	Andrew T. Kuligowski, Lida Gharibvand	source	6
PharmaSUG	2019	SAS V9.4 MNAR statement for multiple imputations for missing not at random in longitudinal clinical trials	Lingling Li	source	11
SESUG	2017	Missing Data and Complex Sample Surveys Using SAS: The Impact of Listwise Deletion vs. Multiple Imputation Methods on Point and Interval Estimates when Data are MCAR, MAR, and MNAR	Listwise Deletion	source	26
WUSS	2016	MIghty PROC MI to the rescue!	Cynthia Alvarez	source	10
SESUG	2015	An Empirical Comparison of Multiple Imputation Approaches for Treating Missing Data in Observational Studies	Yan Wang, Seang-Hwane Joo, Jeffrey D. Kromrey	source	20
SGF	2015	An Empirical Comparison of Multiple Imputation Approaches for Treating Missing Data in Observational Studies	Patricia Rodríguez de Gil, Shetay Ashford, Chunhua Cao, Eun Sook Kim, Rheta Lanehart, Reginald Lee, Jessica Montgomery, Yan Wang	source	20
PHUSE EU	2014	Multiple Imputation: Better than Single Imputation in Pain Studies	Ashik Chowdhury	source presentation source	12

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