On this page please find some computer programs developed by our section and related references.

Please note that the programs are prototypes:

• The programs have been designed for our programming environment. We cannot guarantee their functioning in other hard- and software environments. You may have to do some adaptions yourself.
• We  have extensivly tested the programs, yet we deny liability for results from these programs.
  
  

Statistical modelling

Firth-correction - for logistic, Poisson and Cox regression (posted 2020)

ABE - a SAS Macro for Augmented Backward Elimination (posted 2014)

shrink - an R Package for Instant Global, Parameterwise, and Joint Shrinkage Estimation of Regression Coefficients (posted 2014)

logistiX - an R Package for Exact Logistic Regression (posted 2012)

Survival analysis

kmdiff - A SAS macro for visualizing the quantile survival time difference curve (posted 2018)

SURVCORR/SurvCorr - a SAS macro and R package using iterative multiple imputation to quantify the correlation of bivariate failure times under censoring (posted 2015)

PSHREG - Proportional and non-proportional subdistribution hazards regression (posted 2015)

WCM/coxphw - weighted estimation in Cox regression (posted 2014)

COMPASS - Comparing parametric survival models (posted 2003)

XLINRANK - Exact logrank tests for unequal follow-up (posted 2003)

SURES - Log-odds and normal deviate residuals for Cox regression (posted 2003)

Explained variation

NecSuff - Quantifying degrees of necessity and of sufficiency in cause-effect relationships with dichotomous and survival outcomes (posted 2018) 

pev_frailty - Explained variation in shared frailty and PH mixed models (posted 2018)

concreg - Concordance regression (posted 2013)

RELIMP - Comparing the importance of prognostic factors in Cox and logistic regression using SAS (posted 2012)

surev - Predictive accuracy and explained variation in Cox regression  (posted 2012)

R2POI - Calculating adjusted R² measures for Poisson regression models (posted 2002)

EVLOGIST - Computing measures of explained variation for logistic regression models (posted 2002)

KENT & O'QUIGLEY - Using SAS to calculate the Kent and O'Quigley measure of dependence for Cox proportional hazards regression model (posted 2000)

MULTIMP - Estimation of correlation and explained variation in the presence of censoring assuming an uncensored population (posted 1997)

RCS - Gaining more flexibility in Cox proportional hazards regression models with cubic spline functions (posted 1997)

High-dimensional data

lim.lrt - left-inflated mixture model likelihood ration test (posted 2014)

t.opt - Adaptive trimmed t-statistics for microarrays (posted 2011)