Missing Data Papers and PresentationsPage 4

The Missing Link: A Robust Macro for Recoding General Missing Data Values

Hunter Glanz; Josh Horstman

Source category: Beyond the Basics: Applications Development

Author collections: Hunter Glanz · Josh Horstman

Using SAS® for Multiple Imputation and Analysis of Longitudinal Data

Patricia Berglund, University of Michigan Institute for Social Research

Source category: Conference presentation

Combining Survival Analysis Results after Multiple Imputation of Censored Event Times

Jonathan L Moscovici; Bohdana Ratitch

Source category: Statistics & Pharmacokinetics

Author collections: Jonathan L Moscovici

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

Anh Kellermann

Source category: Statistics Data Analysis

File inside source ZIP: Statistics_Data_Analysis/SESUG2017_Paper-106_Final_PDF.pdf

Multiple Imputation of Family Income Data in the 2015 Behavioral Risk Factor Surveillance System

Jia Li; Aaron L. Sussell

Source category: AA

Author collections: Jia Li

Multiple Imputation: A Statistical Programming Story

Chris Smith; Scott Kosten

Source category: Statistics & Pharmacokinetics

Author collections: Chris Smith

An Easy Route to a Missing Data Report with ODS+PROC FREQ+A Data Step

Mike Zdeb

Source category: Building Blocks

File inside source ZIP: Building Blocks/BB-170_Final_PDF.pdf

Author collections: Mike Zdeb

Missing Data and Complex Sample Surveys Using SAS®: The Impact of Listwise Deletion vs. Multiple Imputation on Point and Interval Estimates when Data are MCAR and MAR

Anh Kellermann, DeAnn Trevathan and Jeffrey Kromrey

Source category: Statistics/Data Analysis

File inside source ZIP: Statistics and Data Analysis/SD-177_Final_PDF.pdf

Missing Values: They Are NOT Nothing

Justin Jia, Trans Union Canada; Shan Shan Lin, CIBC

Source category: Conference presentation

Multiple-Group Multiple Imputation: An Empirical Comparison of Parameter Recovery in the Presence of Missing Data using SAS®

Patricia Rodriguez de Gil, University of South Florida; Jeff Kromrey, University of South Florida

Source category: Conference presentation

Simulation of Imputation Effects under Different Assumptions

Danny Rithy, California Polytechnic State University; Soma Roy, California Polytechnic State University

Source category: Conference presentation

Survey Data Imputation with PROC SURVEYIMPUTE

Pushpal Mukhopadhyay, SAS

Source category: Conference presentation

Using CALL VNAME to Populate Missing Data from a Default Values Lookup Dataset

Raghav Adimulam

Source category: Coder's Corner

File inside source ZIP: Coders Corner/CC-191_Final_PDF.pdf

Author collections: Raghav Adimulam

An Empirical Comparison of Multiple Imputation Approaches for Treating Missing Data in Observational Studies

Patricia Rodriguez de Gil, University of South Florida; Shetay Ashford, University of South Florida; Chunhua Cao, University of South Florida; Eun-Sook Kim, University of South Florida; Rheta Lanehart, University of South Florida; Reginald Lee, University of South Florida; Jessica Montgomery, University of South Florida; Yan Wang, University of South Florida

Source category: Conference presentation

An Empirical Comparison of Multiple Imputation Approaches for Treating Missing Data in Observational Studies

Yan Wang, Seang-Hwane Joo, Patricia Rodriguez de Gil, Jeffrey Kromrey, Rheta E. Lanehart, Eun Sook Kim, Jessica Montgomery, Reginald Lee, Chunhua Cao and Shetay Ashford

Source category: Statistics and Data Analysis

File inside source ZIP: SESUG 2015 Final paper PDF Files 11_2_2015/Statistics_Data_Analysis/177_Final_PDF.pdf

Facing Your Fear of the Unknown- Handling Missing Data

Amanda Reilly

Source category: Statistics and Pharmacokinetics

Improving Data Quality – Missing Data Can Be Your Friend!

Julie Chen

Source category: Industry Basics

Imputing Missing Data using SAS®

Christopher Yim, Cal Poly San Luis Obispo

Source category: Conference presentation

Missing Data For Repeated Measures: Single Imputation VS Multiple Imputation

Giulia Tonini; Simona Scartoni; Camilla Paoli; Andrea Nizzardo; Angela Capriati

Source category: Statistics and Pharmacokinetics

Author collections: Giulia Tonini · Simona Scartoni · Andrea Nizzardo · Angela Capriati

Multiple Imputation Using the Fully Conditional Specification Method: A Comparison of SAS®, Stata, IVEware, and R

Patricia Berglund, University of Michigan

Source category: Conference presentation