5. 参考文献 Lakatos,Edward. 1988. 'Sample Sizes Based on the Log-Rank Statistic in Complex ClinicalTrials', Biometrics,Volume 44, March, pages 229-241. Lakatos,Edward. 2002. 'Designing Complex Group Sequential Survival ...
Log-rank statisticMartingalesMultivariate survival dataTail instabilityIn this note, we consider weighted log-rank statistics applied to clustered survival data with variable cluster sizes and arbitrary treatment assignments within clusters. Specifically, we verify that the contribution over the time interval...
02A Log-rank statistic for testing interaction effect in a 2 × 2 factorial design and its use in sample size determination 来自 Elsevier 喜欢 0 阅读量: 26 作者:SCW Fawcett,TF Pajak 摘要: Source data for Figure 7A and C, and 7E-H. This source file provides mean, SD, sample size and...
Code Quantiles of ratios of log-rank statistic to Cox statistic 1% 5% 10% 25% 50% 75% 90% 95% 99% 0.935 0.975 0.986 0.995 1.000 1.005 1.015 1.025 1.063 rho fold_change 1: 1 1.005 Summary χ 2 When there is outcome heterogeneity within a group, the survival time distribution represents...
Abstracts Fifteenth Annual Meeting of the Society for clinical trials The Westin Galleria Hotel, Houston, Texas May 8–11, 199402A Log-rank statistic for testing interaction effect in a 2 × 2 factorial design and its use in sample size determination...
However, when the estimate variance of Oi-Ei is difficult to calculated, it would be okay to get the log-rank statistic by onlydividing the Ei which is of the classic chi-square form. 5. The Log-Rank test for Several Groups H0: All survival curves are the same.The test statistic is ...
test_statistic, p_value, dof, expected = chi2_contingency(table) if p_value <= alpha: print('Variables are not independent (reject H0)') else: print('Variables are independent (fail to reject H0)') 1. 2. 3. 4. 5. 6. 7. ...
代码语言:javascript 复制 <lifelines.StatisticalResult:t_0=-1,alpha=0.95,null_distribution=chi squared,df=1test_statistic p7.51380.0061**---Signif.codes:0'***'0.001'**'0.01'*'0.05'.'0.1' '1
Levene Statistic df1 df2 Sig. t0 Based on Mean .145 2 12 .866 Based on Median .127 2 12 .882 Based on Median and with adjusted df .127 2 11.675 .882 Based on trimmed mean .144 2 12 .868 t1 Based on Mean .440 2 12 .654 Based on Median .385 2 12 .689 Based on Median and...
A sample-size formula is proposed based on the limiting distribution of the supremum weighted log-rank statistic. The sample-size formula reduces to Eng and Kosorok's sample-size formula for a two-sample supremum log-rank test when there is no second randomization. Monte Carlo studies show ...