1995
DOI: 10.1016/0895-4356(95)00048-8
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Importance of events per independent variable in proportional hazards regression analysis II. Accuracy and precision of regression estimates

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Cited by 1,688 publications
(1,174 citation statements)
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“…Assessment of EFS and OS outcomes is therefore descriptive, and p-values are presented as measures of variability and not for inferential purposes. These were pre-planned analysis even if the number of expected events is low (10,11). Differences in EFS and OS between the trastuzumab group and each of the lapatinib-containing groups are described using hazard ratios and 95% confidence intervals with p-values from two-sided stratified log-rank tests, implemented as Wald tests from the Cox models (12).…”
Section: Resultsmentioning
confidence: 99%
“…Assessment of EFS and OS outcomes is therefore descriptive, and p-values are presented as measures of variability and not for inferential purposes. These were pre-planned analysis even if the number of expected events is low (10,11). Differences in EFS and OS between the trastuzumab group and each of the lapatinib-containing groups are described using hazard ratios and 95% confidence intervals with p-values from two-sided stratified log-rank tests, implemented as Wald tests from the Cox models (12).…”
Section: Resultsmentioning
confidence: 99%
“…Univariate and multivariate regression models adjusting for confounding factors were not fit given the small number of observed events (recurrent stroke) in the lowest tertile. 25 A total sample size of 180 subjects with a maximum follow-up of 12 months was targeted to achieve 480% power to detect a difference in the time-to-recurrence distributions between pairs of groups defined by tertiles of coated-platelet levels, where the lowest and highest risk groups have a 12-month recurrence rate of 2% and 25%, respectively, using a logrank test and a two-sided 0.0167 a level. The event rate estimates were based on our previously published research data on coated-platelet levels in ischemic stroke.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…Simulation work has suggested that at least 10 events need to be observed for each covariate considered, and anything less will lead to problems, for example, the regression coefficients become biased (Peduzzi et al, 1995). In the ovarian study, there were 550 deaths and 11 covariates for the five prognostic factors, implying 50 events per covariate.…”
Section: Sample Size Considerationsmentioning
confidence: 99%