| MWSUG |
2019 |
Comparison of three methods for transforming predictor variables to improve model fit using SAS |
|
|
13 |
| MWSUG |
2014 |
Comparing regression, propensity matching and coarsened exact matching in healthcare observational studies using SAS: An example from the Medical Expenditure Panel Survey (MEPS) |
|
|
16 |
| MWSUG |
2012 |
Methods for Interaction Detection in Predictive Modeling Using SAS |
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13 |
| MWSUG |
2011 |
Bootstrap power analysis using SAS |
Nort Holschuh,
Bruce Barton,
Ann Albertson |
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8 |
| MWSUG |
2010 |
Adequacy and Information Values: Two Tools for Ranking Predictors in Generalized Linear Models |
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21 |
| MWSUG |
2010 |
Evaluation of Methods to Determine Optimal Cut Points for Predicting Mortgage Default |
Valentin Todorov |
|
11 |
| MWSUG |
2010 |
Exploring, Analyzing, and Summarizing Your Data: Choosing and Using the Right SAS Tool from a Rich Portfolio |
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|
25 |
| MWSUG |
2010 |
Power to Detect Therapist Effects in Randomized, Controlled Trials of Interventions in Clinical Psychology |
Fary Cachelin,
Ruth Striegel-Moore,
Terry Wilson |
|
16 |
| MWSUG |
2009 |
Ranking Predictors in Logistic Regression |
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|
13 |
| NESUG |
2007 |
Before and After: Critical Event Analysis with Longitudinal Data Using SAS |
Robert Bauserman |
|
12 |
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