| WUSS |
2026 |
A Weighted Deming Regression SAS Macro |
Brahian Urrego,
Natasha Oza |
source |
29 |
| WUSS |
2025 |
FDA says, Do the Allowable Total Difference Zone: A Method Comparison using the ATDzone SAS Macro |
Natasha Oza |
source |
22 |
| WUSS |
2025 |
Inter-reader Variability and Reader Weighting in Diagnostic Accuracy Studies using the SAS System |
Monica Vasquez,
Payam Ahmadi |
source |
22 |
| PharmaSUG |
2025 |
The Allowable Total Difference Zone: A construction method using the ATDzone SAS Macro |
Natasha Oza |
source |
20 |
| WUSS |
2024 |
Correlation of a Composite Self-Reported Symptoms Severity Score with Patient Number of Symptoms as Predictors of SARS-CoV-2 infection status/Viral Load using the SAS System [presentation] |
Daniel Jarem,
Alison Kuchta |
source |
54 |
| WUSS |
2024 |
Limit of Detection Calculation Methods Comparison for PCR-based Quantitative Studies using the SAS System |
|
source |
13 |
| WUSS |
2022 |
Customizable SAS Graphs for Bias Analysis |
Natasha Oza |
source |
26 |
| PharmaSUG |
2022 |
A SAS macro wrapper for an efficient Deming regression algorithm via PROC IML: The Wicklin method |
Natasha Oza,
Ben Wang |
source |
13 |
| WUSS |
2019 |
Limit of Detection (LoD) Estimation Using Maximum Likelihood from (Hit) Rate Data: The LoD_MLE SAS Macro |
Jeffrey E. Vaks,
Shaowu Tang |
source |
11 |
| WUSS |
2018 |
Customizing and Automating your Graphs using the SAS SG Procedures |
Alen Dzidic,
Shiva Narra |
source |
20 |
| SGF |
2018 |
LinAcc: A SAS Macro for Assay Linearity and Accuracy Determination |
Pari Hemyari |
source |
16 |
| WUSS |
2017 |
Variance Ratio Estimation Using the PRECMOD SAS Macro |
Pari Hemyari |
source |
12 |
| PharmaSUG |
2016 |
PrecMod: An Automated Precision SAS Macro for Random Effects Models |
Pari Hemyari |
source |
15 |
| SGF |
2016 |
Limit of Detection (LoD) Estimation Using Parametric Curve Fitting to (Hit) Rate Data: The LOD_EST SAS Macro |
Pari Hemyari |
source
zip |
10 |
| WUSS |
2013 |
Using SAS for Error Grid Analysis (EGA) of Glycated Hemoglobin A1c |
Christopher Canchola |
source |
7 |
| WUSS |
2006 |
Mixed Model Selection via the Information-Theoretic Approch using SAS |
Torsten B. Neilands |
source |
7 |
| WUSS |
2005 |
Analysis of Group-Randomized Designs: A clinic-based breast cancer rescreening example |
Regina Otero-Sabogal |
source |
9 |
| WUSS |
2003 |
Logistic regression model-building strategies for predicting regular mammography screening adherence among uninsured immigrant women |
Regina Otero-Sabogal,
Desiree Owens,
Farzaneh Tabnak |
source |
6 |
| WUSS |
2002 |
Imputation Strategies for Sexual Orientation Using SAS PROC MI |
Joe Catania,
Torsten Neilands |
source |
6 |
| WUSS |
2001 |
Computation of expected risk rations in a longitudinal study of sexually transmitted diseases in per-contact risk of HIV using SAS/IML |
Sally Blower |
source |
5 |
| WUSS |
1997 |
Logistic Regression Modeling in Complex Surveys: Examples Using LOGITSE SAS Macro |
Brian D. Marx,
Joseph A. Catania |
source |
10 |
| SUGI |
1997 |
LOGITSE: A SAS Macro for Logistic Regression Modeling in Complex Surveys |
Brian D. Marx,
Joseph A. Catania |
source |
6 |
| WUSS |
1996 |
Using the GEE v2.02 SAS Macro to Adjust for Clustering of Respondents Within Interviewer in a Methodological National Probability Survey/Study |
|
source |
2 |
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