Rounding after Multiple Imputation with Non-Binary Categorical Covariates
Source category: Conference paper
Author collections: Christopher F. Ake
THE COMMUNITY ARCHIVE
Missing Data Papers and PresentationsPage 7
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 121–140
Macros to Report Missing Data: An HTML Data Collection Guide
Source category: SAS Solutions
Author collections: Patrick Thornton
Model-Based Multiple Imputation
Source category: Conference paper
Macros To Report Missing Data: An HTML Data Collection Guide
Source category: Internet, Intranets and the Web
Author collections: Patrick Thornton
Comparison of Several SAS Approaches to Mean Imputation for Time Series Data with Missing Data Points
Source category: Coders’ Corner
Author collections: Keiko I. Powers
Imputation Strategies for Sexual Orientation Using SAS PROC MI
Source category: Data Analysis and Statistics
Author collections: Jesse A. Canchola · Joseph A. Catania · Torsten B. Neilands
Survival Analysis with PHREG: Using MI and MIANALYZE to Accommodate Missing Data
Source category: Data Analysis and Statistics
Author collections: Arthur L. Carpenter
Taking Advantage of Missing Values in PROC SQL
Source category: Conference paper
Author collections: Ya Huang
Avoiding Mayhem in the New Millennium: Working with Missing Data
Source category: Conference paper
Author collections: JoAnn Matthews
Multiple Imputation for Missing Data: Concepts and New Development
Source category: Conference paper
Author collections: Yang Yuan
The Effect of Missing Data on Repeated Measures Models
Source category: Conference paper
Author collections: Maribeth H. Johnson
An Innovative Approach of Analyzing Longitudinal Data ith Various Patterns of Missing Data
Source category: Data Analysis and Statistics
Author collections: Shiao-ping Lu
Hot-deck Imputation with SAS Arrays and Macros for Large Surveys
Source category: Conference paper
The Effect of Missing Data on Sample Sizes for Repeated Measures Models
Source category: Conference paper
Imputation of Data Missing Due to Truncation --- A SAS Macro for Maximum Likelihood Estimates Using Symmetry Property
Source category: Conference paper
Author collections: Zhengyu Wang · ViswanaThan Ramakrishnan
Avoiding, Accepting, and Taking Advantage of Missing Data
Source category: Conference paper
A Model for Multivariate Repeated Measures with Missing Data
Source category: Conference paper
Author collections: Richard R. Allen
Filling in the Blanks: Multiple Imputation for Replacing Missing Values in Survey Data
Source category: Conference paper
Author collections: P. M. Wright
Problems with Missing Values? Use the SAS System to Generate Replacement Data
Source category: Conference paper
Author collections: Daniel R. Bretheim
Analysis of a Repeated Measures Experiment with Missing Data
Source category: Conference paper
Author collections: Richard R. Allen