Skip to main content English


We present a new SAS macro %PSHREG that can be used to fit a proportional subdistribution hazards (PSH) model (Fine and Gray, 1999) for survival data subject to competing risks. The macro is described in our accompanying publication (Kohl et al, 2015).



Kohl, M., Plischke,M., Leffondré,K., Heinze,G. (2015): "PSHREG: A SAS macro for proportional and nonproportional subdistribution hazards regression", Computer Methods and Programs in Biomedicine (doi: 10.1016/j.cmpb.2014.11.009)

The macro and its documentation are available at the github repository


Fine, J.P., Gray, R.J. (1999): "A proportional hazards model for the subdistribution of a competing risk", Journal of the American Statistical Association 94(446), 496 - 509

Geskus, R.B. (2011): "Cause-Specific Cumulative Incidence Estimation and the Fine and Gray Model Under Both Left Truncation and Right Censoring", Biometrics 67, 39 - 49
Grambauer, N., Schumacher, M., Beyersmann, J. (2010): "Proportional subdistribution hazards modeling offers a summary analysis, even if misspecified", Statistics in Medicine 29, 875-884
Heinze, G., Schemper, M. (2001): "A solution to the problem of monotone likelihood in Cox regression", Biometrics 57, 114 - 119
Schemper, M., Wakounig, S., Heinze, G. (2009): "The estimation of average hazard ratios by weighted Cox regression", Statistics in Medicine 28(19), 2473 - 2489
Xu, R., O'Quigley, J. (2000): "Estimating average regression effect under non-proportional hazards", Biostatistics 1, 423 - 439