THE COMMUNITY ARCHIVE

Missing Data Papers and PresentationsPage 8

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 141–148

SUGI · 1988Paper 187SUGI 1988

An Imputation System for a Large-Scale Survey

Eugene M. Burns; Doug Valcour

Source category: Conference paper

Author collections: Eugene M. Burns

SUGI · 1987Paper 172SUGI 1987

A SAS® Macro for Estimating Missing Values in Multivariate Data

Gina M. Capalbo; James S. Roberts

Source category: Conference paper

Author collections: James S. Roberts

SUGI · 1985Paper 11SUGI 1985

Estimating Autocorrelations and Crosscorrelations where Missing Values are Present: A SAS Macro

Pan-Yu Lai; Kenneth M. Portier

Source category: Conference paper

Author collections: Pan-Yu Lai · Kenneth M. Portier

SUGI · 1984Paper 160SUGI 1984

SAS Methods for the Rank Regression Model with Missing Values

R. Michael Rubison; Michael K. Thran

Source category: Conference paper

SUGI · 1983Paper 135SUGI 1983

Interactive Least Squares Estimation of Missing Values in any GLM

Paul D. Hamilton; Patric Dale McCray; Michael C. Palmer

Source category: Conference paper

Author collections: Paul D. Hamilton · Michael C. Palmer

SUGI · 1982Paper 139SUGI 1982

WEIGHTED SEQUENTIAL HOT DECK IMPUTATION MACROS

Vincent G. Iannacchione

Source category: Conference paper

SUGI · 1981Paper 10SUGI 1981

Missing Data in Multivariate Linear Models: A Comparison of Several Estimation Techniques

James D. Hosking

Source category: Conference paper

Author collections: James D. Hosking

SUGI · 1979Paper 71SUGI 1979

PROC REPTIFMD - A SAS Procedure for Repeated Measurements Experiments with Missing Data

William G. Jackson, Jr; Richard C. McNee

Source category: Conference paper

Author collections: Richard C. McNee