Publication View

A computer program for the generalized chi-square analysis of competing risks grouped survival data (CRISCAT) (1978)

Abstract
CRISCAT is a computer program for the analysis of grouped survival data with competing risks via weighted least squares methods. Competing risks adjustments are obtained from general matrix operations using many of the strategies employed in a previously developed program (GENCAT) for multivariate categorical data. CRISCAT computes survival rates at several time points for multiple causes of failure, where each rate is adjusted for other causes in the sense that failure due to these other causes has been eliminated as a risk. The program can generate functions of the adjusted survival rates, to which asymptotic regression models may be fit. CRISCAT yields test statistics for hypotheses involving either these functions or estimated model parameters. Thus, this computational algorithm links competing risks theory to linear models methods for contingency table analysis and provides a unified approach to estimation and hypothesis testing of functions involving competing risks adjusted rates.. Peer Reviewed. http://deepblue.lib.umich.edu/bitstream/2027.42/22535/1/0000080.pdf

Publication details
Download , http://www.sciencedirect.com/science/article/B75BY-48V1YXX-B4/2/a703c540d534325f748100979ddc27df
http://hdl.handle.net/2027.42/22535
http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=755599&dopt=citation
http://dx.doi.org/10.1016/0010-468X(78)90028-4
Publisher Elsevier
Contributors Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, USA, Department of Biostatistics, University of North Carolina, Chapel Hill, NC27514, USA, Department of Biostatistics, University of North Carolina, Chapel Hill, NC27514, USA, Department of Biometry, Louisiana State University Medical Center, New Orleans, LA 70112, USA, no department found, no department found
Repository University of Michigan (United States)
Keywords Computer Science, Engineering
Language English