THE COMMUNITY ARCHIVE

Missing Data Papers and PresentationsPage 6

Missing observations affect both data preparation and the interpretation of results. Explore conference papers on imputation, incomplete longitudinal data and sensitivity analyses, with attention to the assumptions made by each method.

148 papers · Showing 101–120

SESUG · 2011Paper PO-08SESUG 2011

Missing_Items: A SAS® Macro for Missing Data Imputation in Summative Response Scales

Patricia Rodríguez de Gil; Jeffrey D. Kromrey

Source category: Posters

File inside source ZIP: Posters.zip / PO08.Rodriguez_de_Gil.pdf

The publisher distributes this paper in a category ZIP inside the proceedings ZIP.

Author collections: Jeffrey D. Kromrey

SAS Global Forum · 2011Paper 232-2011SAS Global Forum 2011

SAS® Data Management: How Raw Variables with Complex Skip Patterns and Missing Values Are Interpreted with Derived Variables

Isabel H. Perry; Samantha E. Dilworth; Elise D. Riley

Source category: Posters

SAS Global Forum · 2011Paper 072-2011SAS Global Forum 2011

Special Missing Values for Character Fields

John F. Ladds

Source category: Coders' Corner

Author collections: John F. Ladds

SAS Global Forum · 2011Paper 339-2011SAS Global Forum 2011

Studying Missing Data Patterns Using a SAS® Macro

Theresa Schwartz; Qixuan Chen; Naihua Duan

Source category: Statistics and Data Analysis

SAS Global Forum · 2010Paper 265-2010SAS Global Forum 2010

An Introduction to Multiple Imputation of Complex Sample Data Using SAS® 9.2

Pat Berglund

Source category: Statistics and Data Analysis

Author collections: Pat Berglund

SAS Global Forum · 2010Paper 048-2010SAS Global Forum 2010

Automatically Dropping Variables with Only Missing Values

Selvaratnam Sridharma

Source category: Coders' Corner

Author collections: Selvaratnam Sridharma

WUSS · 2010WUSS 2010

Survival Analysis with PHREG: Using MI and MIANALYZE to Accommodate Missing Data

Christopher F. Ake; Arthur L. Carpenter

Source category: Analytics and Statistics

Author collections: Christopher F. Ake · Arthur L. Carpenter

SAS Global Forum · 2010Paper 218-2010SAS Global Forum 2010

Various Solutions to Missing Values in Repeated Sequences

Hui Xu; Marike Vuga

Source category: Posters

Author collections: Hui Xu

WUSS · 2009WUSS 2009

Cleaning Duplicate Observations on a Chessboard of Missing Values

Mayrita Vitvitska

Source category: Coders’ Corner

SAS Global Forum · 2009Paper 246-2009SAS Global Forum 2009

Getting the Most Out of the SAS® Survey Procedures: Repeated Replication Methods, Subpopulation Analysis, and Missing Data Options in SAS® 9.2

Pat Berglund

Source category: Statistics and Data Analysis

Author collections: Pat Berglund

WUSS · 2009WUSS 2009

Repo Your Missing Data Using PROC REPORT

Ethan Miller

Source category: Data Presentation and Business Intelligence

Author collections: Ethan Miller

PHUSE · 2008Paper PO07PHUSE EU Connect 2008

Missing Data in Cross-Over Trials

Edyta Mrowka

Source category: Posters

SAS Global Forum · 2008Paper 082-2008SAS Global Forum 2008

Tools of Miscalculation: Managing Missing Values with SAS®

William Murphy

Source category: Coders' Corner

WUSS · 2007WUSS 2007

MISSING VALUES: Everything You Ever Wanted to Know

Malachy J. Foley

Source category: Database Management and Warehousing

Author collections: Malachy J. Foley

WUSS · 2006WUSS 2006

Examples of Data Manipulation in SAS: Filling in “Known” Missing Data

Chong Ho Yu

Source category: Data Integration and ETL

Author collections: Chong Ho Yu

SUGI · 2006Paper 025-31SUGI 2006

MISSING! – Understanding and Making the Most of Missing Data

Suzanne M. Humphreys

Source category: Conference paper

Author collections: Suzanne M. Humphreys

WUSS · 2005WUSS 2005

A Comparison of Missing Data Handling Methods

Catherine Truxillo

Source category: Data Analysis and Statistics

Author collections: Catherine Truxillo

WUSS · 2005WUSS 2005

Can Matrix Capture Missing Data Values?

Keh-Dong Shiang

Source category: Posters

Author collections: Keh-Dong Shiang

SUGI · 2005Paper 113-30SUGI 2005

Imputation of Categorical Variables with PROC MI

Paul D. Allison

Source category: Conference paper

Author collections: Paul D. Allison

WUSS · 2005WUSS 2005

MISSING VALUES: Everything You Ever Wanted to Know

Malachy J. Foley

Source category: Coders’ Corner

Author collections: Malachy J. Foley