%0 Journal Article %1 Latouche:2007:Stat-Med:17955563 %A Latouche, A %A Porcher, R %D 2007 %J Stat Med %K CompetingRisks Multi-stateModels SampleSize SurvivalAnalysis statistics %N 30 %P 5370-5380 %R 10.1002/sim.3114 %T Sample size calculations in the presence of competing risks %U https://www.ncbi.nlm.nih.gov/pubmed/17955563 %V 26 %X Recently, with the growth of statistical developments for competing risks analysis, some methods have been proposed to compute sample size in this context. These methods differ from a modelling approach: one is based on the Cox regression model for the cause-specific hazard, while another relies on the Fine and Gray regression model for the subdistribution hazard of a competing risk. In this work, we compare these approaches, derive a new sample size for comparing cumulative incidence functions when the hazards are not proportional (either cause-specific or subdistribution) and give practical advices to choose the approach best suited for the study question.

@article{Latouche:2007:Stat-Med:17955563, abstract = {Recently, with the growth of statistical developments for competing risks analysis, some methods have been proposed to compute sample size in this context. These methods differ from a modelling approach: one is based on the Cox regression model for the cause-specific hazard, while another relies on the Fine and Gray regression model for the subdistribution hazard of a competing risk. In this work, we compare these approaches, derive a new sample size for comparing cumulative incidence functions when the hazards are not proportional (either cause-specific or subdistribution) and give practical advices to choose the approach best suited for the study question.}, added-at = {2018-09-20T20:37:32.000+0200}, author = {Latouche, A and Porcher, R}, biburl = {https://www.bibsonomy.org/bibtex/235a0dd7ff39d167c0c5109d82a6d3d4c/jkd}, description = {Sample size calculations in the presence of competing risks. - PubMed - NCBI}, doi = {10.1002/sim.3114}, interhash = {1c452152bcdad44aa6e6c02a4f4c8345}, intrahash = {35a0dd7ff39d167c0c5109d82a6d3d4c}, journal = {Stat Med}, keywords = {CompetingRisks Multi-stateModels SampleSize SurvivalAnalysis statistics}, month = dec, number = 30, pages = {5370-5380}, pmid = {17955563}, timestamp = {2018-09-21T09:14:01.000+0200}, title = {Sample size calculations in the presence of competing risks}, url = {https://www.ncbi.nlm.nih.gov/pubmed/17955563}, volume = 26, year = 2007 }