| PHUSE EU |
2025 |
Multiple Imputations Overview of Missing Data Problem, Solution Methods and SAS Implementation |
Dmytro Kalinin |
source
presentation source |
13 |
| SESUG |
2021 |
Missing Value Imputation |
Ross Bettinger |
source |
34 |
| SGF |
2020 |
Dealing with Missing Data in Epidemiological and Clinical Research |
Andrew T. Kuligowski,
Lida Gharibvand |
source |
6 |
| 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 |
| SESUG |
2016 |
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 P. Kellermann,
DeAnn Trevathan,
Jeffrey D. Kromrey |
source |
12 |
| WUSS |
2016 |
MIghty PROC MI to the rescue! |
Cynthia Alvarez |
source |
10 |
| MWSUG |
2015 |
Multiple Imputation for Arbitrary Missing Data: SAS and R |
Kaushal Chaudhary,
Deanna Naomi Schreiber-Gregory |
|
7 |
| 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 |
| PHUSE EU |
2014 |
Multiple Imputation: Better than Single Imputation in Pain Studies |
Ashik Chowdhury |
source
presentation source |
12 |
| WUSS |
2014 |
Quick Analysis and Visualization of Excluded and Missing Data |
Polina Kukhareva |
source |
9 |
| SGF |
2012 |
Handling Missing Data by Maximum Likelihood |
Paul D. Allison |
source |
21 |
| NESUG |
2010 |
Survey Analysis: Options for Missing Data |
Paul Gorrell |
|
10 |
| NESUG |
2009 |
Survey Analysis: Options for Missing Data |
Paul Gorrell |
|
11 |
| SGF |
2009 |
Getting the Most Out of the SAS Survey Procedures: Repeated Replication Methods, Subpopulation Analysis, and Missing Data Options in SAS 9.2 |
Patricia A. Berglund |
source |
12 |
| NESUG |
2008 |
An Introduction to the SAS Survey Analysis PROCs |
Xiuhua Chen,
Paul Gorrell |
|
17 |
| SESUG |
2005 |
The Missing Link: Data Analysis with Missing Information |
Venita DePuy |
source |
9 |
| SUGI |
2005 |
Imputation of Categorical Variables with PROC MI |
Paul D. Allison |
source |
14 |
| NESUG |
2004 |
Analyzing Complex Survey Data: Some SAS-SUDAAN Comparisons |
Xiuhua Chen,
Paul Gorrell |
|
15 |
| SUGI |
2004 |
Some Statistical Strategies for Analyzing Confirmatory Studies Involving One or More Occurrences of Primary Events |
Gary G. Koch,
Maura E. Stokes |
source |
21 |
| SEUGI |
2000 |
E.S.S.E. Editing Systems Standard Evaluation - Software Framework [presentation] |
A. Manzari,
G. Della Rocca,
M. Di Zao,
O. Luzi |
source |
20 |
| SUGI |
1992 |
A Simulation Study of Estimators for Rates of Changes in Longitudinal Studies with Attrition |
Fong Wang,
Mary Lange |
source |
6 |
| SUGI |
1991 |
Analysis of Sparse Repeated Categorical Measurement Data |
Alan Agresti,
Stuart Lipsitz,
Joseph B. Lang |
source |
9 |
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