PrecMod: An Automated Precision SAS® Macro for Random Effects Models
Source category: Healthcare Analytics
Author collections: Jesse A. Canchola · Pari Hemyari
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Jesse A. Canchola — Indexed Papers
Publications credited to Jesse A. Canchola in the available conference metadata. Browse coauthors and original source links below. This is a publication index, not a verified biographical profile; identical names may refer to different people.
9 papers · Showing 1–9
Mixed Model Selection via the Information-Theoretic Approch using SAS
Source category: Analytics
Author collections: Jesse A. Canchola · Torsten B. Neilands
Analysis of Group-Randomized Designs: A clinic-based breast cancer rescreening example
Source category: Data Analysis and Statistics
Author collections: Jesse A. Canchola · Regina Otero-Sabogal
Logistic regression model-building strategies for predicting regular mammography screening adherence among uninsured immigrant women
Source category: Data Analysis and Statistics
Author collections: Jesse A. Canchola · Regina Otero-Sabogal
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
Computation of expected risk rations in a longitudinal study of sexually transmitted diseases in per-contact risk of HIV using SAS/IML
Source category: Data Analysis and Statistics
Author collections: Jesse A. Canchola
Logistic Regression Modeling in Complex Surveys: Examples Using LOGITSE SAS Macro
Source category: Data Analysis and Statistics
Author collections: Jesse A. Canchola · Brian D. Marx · Joseph A. Catania
LOGITSE: A SAS Macro for Logistic Regression Modeling in Complex Surveys
Source category: Conference paper
The publisher TOC prints paper number 275-24, although this is SUGI 22; the number may be incorrect.
Author collections: Jesse A. Canchola · Brian D. Marx · Joseph A. Catania
Using the GEE v2.02 SAS Macro to Adjust for Clustering of Respondents Within Interviewer in a Methodological National Probability Survey/Study
Source category: Statistics
Author collections: Jesse A. Canchola