PSHREG: A SAS macro for proportional and nonproportional subdistribution hazards regression. Issue 2 (February 2015)

• Record Type: Journal Article
• Authors: Kohl, Maria; Plischke, Max; Leffondré, Karen; Heinze, Georg
• Is Part Of: Computer methods and programs in biomedicine. Volume 118:Issue 2(2015)
• Page Start: 218
• Page End: 233
• Publication Date: 2015-02
• Subjects: Medicine -- Computer programs -- Periodicals; Biology -- Computer programs -- Periodicals; Computers -- Periodicals; Medicine -- Periodicals; Médecine -- Logiciels -- Périodiques; Biologie -- Logiciels -- Périodiques; Biology -- Computer programs; Medicine -- Computer programs; Periodicals; Electronic journals; 610.28
• DOI: 10.1016/j.cmpb.2014.11.009
• Languages: English
• ISSNs: 0169-2607

Abstract

<abstract abstract-type="author-highlights" id="abs0005"> <title id="sect0005">Highlights</title> <sec> <p id="spar0005"> <list id="lis0005"> <list-item id="lsti0005"> <label></label> <p id="par0005">The <italic>%pshreg</italic> SAS macro fits Fine-Gray models for competing risks.</p> </list-item> <list-item id="lsti0010"> <label></label> <p id="par0010">The macro first modifies a given data set and then uses PROC PHREG for analysis.</p> </list-item> <list-item id="lsti0015"> <label></label> <p id="par0015">Many useful features of PROC PHREG can now be applied to a Fine-Gray model.</p> </list-item> <list-item id="lsti0020"> <label></label> <p id="par0020">Time-dependent effects can be accommodated by time-by-covariate interactions.</p> </list-item> <list-item id="lsti0025"> <label></label> <p id="par0025">For small data sets, the Firth correction is available.</p> </list-item> </list> </p> </sec> </abstract>