The Pool Adjacent Violators (PAVA) Algorithm,
an R function written in C.
By Bahjat Qaqish (2003).
R Extensions in C:
A two-page introduction to writing R extensions in C.
Includes a complete example.
By Bahjat Qaqish (2003).
An R function for Variance Components for Nested Binary Responses with
Three Levels of Nesting:
(Example: Clinics/Physicians/Patients).
By Bahjat Qaqish (2005).
A Matrix Library in C.
By Bahjat Qaqish (2003).
Software for profiling CPU and memory performance:
Source code in C and Windowns executables.
By Bahjat Qaqish (2005).
Orthogonalized Residuals:
SAS macro for ORTH estimation of regression models for
multivariate Bernoulli outcomes,
with models for the marginal means
and pairwise log odds ratios.
Estimation is by the method of
Orthogonalized Residuals developed by
the authors.
By Richard Zink and Bahjat Qaqish.
Orthogonalized Residuals with model-based Lambda:
SAS macro for ORTH estimation of regression models for
multivariate Bernoulli outcomes,
with models for the marginal means
and pairwise log odds ratios.
Allows various model-based choices for lambda, including lambda=0
(alternating logisitc regression, ALR).
Estimation is by the method of
Orthogonalized Residuals developed by
the authors.
By Richard Zink and Bahjat Qaqish.
Orthogonalized Residuals Regression Diagnostics:
SAS macro for ORTH estimation and computation of
regression diagnostics.
By Kunthel By, John Preisser, Jamie Perin, Richard Zink
and Bahjat Qaqish.
Orthogonalized Residuals Efficieny Calculations:
Code for computing and plotting the asymptotic
efficieny of ORTH, ALR and various other procedures,
relative to GEE2 under various models for third
and fourth moments.
By Bahjat Qaqish.
Continuous Toxicity Monitoring in Phase II Trials in Oncology:
DOS/Windows programs and sample input and output files
for implementing the methods described in
Ivanova, Qaqish & Schell (2005 Biometrics 61, 540-545)
The Conditional Linear Family of
Multivariate Bernoulli Distributions,
Computation and Simulation:
SAS/IML and C modules,
based on Qaqish (2003, Biometrika 90, 455-63).
By Bahjat Qaqish (2003).
GEE1 Regression Diagnostics:
A SAS macro based on Preisser & Qaqish (1996, Biometrika 83, 551-62).
By John Preisser (2003).
BLEX:
GEE1 SAS macro for binary data, logit
link, exchangeable correlation; optimized for LARGE cluster sizes.
BLEX is short for Binary Logit EXchangeable.
By Bahjat Qaqish and Habib Moalem (1994).
Bivariate Logistic Regression:
SAS/IML program for maximum-likelihood estimation
(two marginal logits and a log odds ratio).
By Bahjat Qaqish (2000).
GEE2:
DOS
version,
IBM VM/CMS
version,
DOS/Windows
version:
Pascal source (DOS, VM/CMS), Fortran source (DOS/Windows),
executable and examples.
The Fortran port of the original Pascal code was
developed by a project of the Population Council funded
by the University of North Carolina Evaluation Project (contract
number 5-35676).
The Evaluation Project was funded by the United States
Agency for International Development
(contract number DPE-3060-C-00-1054-1).
By Bahjat Qaqish (1989).
A SAS macro for Variance Components for Nested Binary Responses with
Three Levels of Nesting:
(Example: patients within physicians and
physicians within medical practices).
By Bahjat Qaqish and Habib Moalem (1993).
Extra-binomial variation (Overdispersion):
Sample SAS programs.
By Bahjat Qaqish (2003).