%0 Journal Article %1 Stedman:2011:Comput-Methods-Programs-Biomed:21496938 %A Stedman, M R %A Gagnon, D R %A Lew, R A %A Jung, S H %A Losina, E %A Brookhart, M A %D 2011 %J Comput Methods Programs Biomed %K CorrelatedData SurvivalAnalysis sas statistics %N 2 %P 266-270 %R 10.1016/j.cmpb.2011.02.001 %T A SAS macro for a clustered logrank test %U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3140566/ %V 104 %X The clustered logrank test is a nonparametric method of significance testing for correlated survival data. Examples of its application include cluster randomized trials where groups of patients rather than individuals are randomized to either a treatment or a control intervention. We describe a SAS macro that implements the 2-sample clustered logrank test for data where the entire cluster is randomized to the same treatment group. We discuss the theory and applications behind this test as well as details of the SAS code.

@article{Stedman:2011:Comput-Methods-Programs-Biomed:21496938, abstract = {The clustered logrank test is a nonparametric method of significance testing for correlated survival data. Examples of its application include cluster randomized trials where groups of patients rather than individuals are randomized to either a treatment or a control intervention. We describe a SAS macro that implements the 2-sample clustered logrank test for data where the entire cluster is randomized to the same treatment group. We discuss the theory and applications behind this test as well as details of the SAS code.}, added-at = {2018-09-27T09:58:10.000+0200}, author = {Stedman, M R and Gagnon, D R and Lew, R A and Jung, S H and Losina, E and Brookhart, M A}, biburl = {https://www.bibsonomy.org/bibtex/27d20b4dec1cec043d62b0664cb320d6f/jkd}, description = {A SAS Macro for a Clustered Logrank Test}, doi = {10.1016/j.cmpb.2011.02.001}, interhash = {5bc68179bfd201f287f389c7752563bc}, intrahash = {7d20b4dec1cec043d62b0664cb320d6f}, journal = {Comput Methods Programs Biomed}, keywords = {CorrelatedData SurvivalAnalysis sas statistics}, month = nov, number = 2, pages = {266-270}, pmid = {21496938}, timestamp = {2018-09-27T09:58:10.000+0200}, title = {A SAS macro for a clustered logrank test}, url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3140566/}, volume = 104, year = 2011 }