Log-rank permutation tests for trend: saddlepointp-values and survival rate confidence intervals
Abd-elfattah, Ehab; Butler, Ronald W.;
Abstract
Suppose p + 1 experimental groups correspond to increasing dose levels of a treatment and all groups are subject to right censoring. In such instances, permutation tests for trend can be performed based on statistics derived from the weighted log-rank class. This article uses saddlepoint methods to determine the mid-P-values for such permutation tests for any test statistic in the weighted log-rank class. Permutation simulations are replaced by analytical saddlepoint computations which provide extremely accurate mid-P-values that are exact for most practical purposes and almost always more accurate than normal approximations. The speed of mid-P-value computation allows for the inversion of such tests to determine confidence intervals for the percentage increase in mean (or median) survival time per unit increase in dosage. © 2009 Statistical Society of Canada.
Other data
Title | Log-rank permutation tests for trend: saddlepointp-values and survival rate confidence intervals | Authors | Abd-elfattah, Ehab ; Butler, Ronald W. | Issue Date | 2009 | Journal | Canadian Journal of Statistics | DOI | 1 https://api.elsevier.com/content/abstract/scopus_id/74049103325 5 37 10.1002/cjs.10002 |
Scopus ID | 2-s2.0-74049103325 |
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