Literature DB >> 11550935

Maximum of the weighted Kaplan-Meier tests with application to cancer prevention and screening trials.

Y Shen1, J Cai.   

Abstract

A class of maximum weighted Kaplan-Meier test statistics is described where the weight functions are chosen from a family of smooth functions. The investigated test statistic is robust and sensitive to a variety of alternatives that are often observed in cancer prevention and screening trials. A simulation study is performed to compare the size and power properties between the proposed test statistics and some existing ones. We illustrate the procedure using data from a clinical trial of a breast cancer screening program.

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Year:  2001        PMID： 11550935     DOI： 10.1111/j.0006-341x.2001.00837.x

Source DB:  PubMed          Journal:  Biometrics        ISSN： 0006-341X            Impact factor:   2.571


  6 in total

1.  Utilizing the integrated difference of two survival functions to quantify the treatment contrast for designing, monitoring, and analyzing a comparative clinical study.

Authors:  Lihui Zhao; Lu Tian; Hajime Uno; Scott D Solomon; Marc A Pfeffer; Jerald S Schindler; Lee Jen Wei
Journal:  Clin Trials       Date:  2012-08-22       Impact factor: 2.486

2.  Comparing conditional survival functions with missing population marks in a competing risks model.

Authors:  Dipankar Bandyopadhyay; M Amalia Jácome
Journal:  Comput Stat Data Anal       Date:  2016-03-01       Impact factor: 1.681

3.  Statistical Considerations for Sequential Analysis of the Restricted Mean Survival Time for Randomized Clinical Trials.

Authors:  Ying Lu; Lu Tian
Journal:  Stat Biopharm Res       Date:  2020-10-09       Impact factor: 1.452

4.  Statistical inference methods for two crossing survival curves: a comparison of methods.

Authors:  Huimin Li; Dong Han; Yawen Hou; Huilin Chen; Zheng Chen
Journal:  PLoS One       Date:  2015-01-23       Impact factor: 3.240

5.  A class of two-sample nonparametric statistics for binary and time-to-event outcomes.

Authors:  Marta Bofill Roig; Guadalupe Gómez Melis
Journal:  Stat Methods Med Res       Date:  2021-12-06       Impact factor: 3.021

6.  Ovarian cancer screening and mortality in the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS): a randomised controlled trial.

Authors:  Ian J Jacobs; Usha Menon; Andy Ryan; Aleksandra Gentry-Maharaj; Matthew Burnell; Jatinderpal K Kalsi; Nazar N Amso; Sophia Apostolidou; Elizabeth Benjamin; Derek Cruickshank; Danielle N Crump; Susan K Davies; Anne Dawnay; Stephen Dobbs; Gwendolen Fletcher; Jeremy Ford; Keith Godfrey; Richard Gunu; Mariam Habib; Rachel Hallett; Jonathan Herod; Howard Jenkins; Chloe Karpinskyj; Simon Leeson; Sara J Lewis; William R Liston; Alberto Lopes; Tim Mould; John Murdoch; David Oram; Dustin J Rabideau; Karina Reynolds; Ian Scott; Mourad W Seif; Aarti Sharma; Naveena Singh; Julie Taylor; Fiona Warburton; Martin Widschwendter; Karin Williamson; Robert Woolas; Lesley Fallowfield; Alistair J McGuire; Stuart Campbell; Mahesh Parmar; Steven J Skates
Journal:  Lancet       Date:  2015-12-17       Impact factor: 79.321
  6 in total

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