Weighted Logrank Tests With Multiple Events View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2006

AUTHORS

C. Pinçon , O. Pons

ABSTRACT

We focus on the two group comparison when subjects of the sample may experience multiple distinct events, possibly censored. Because of the correlation arising between failure times, the sum of the marginal test statistics is not accurate. We propose a multivariate version of weighted logrank tests derived from the marginal logrank statistics, and we study their asymptotic distribution under null hypothesis; we construct a consistent estimator of their covariance using martingales properties. We present a simulation study and an application of this method to a study aimed to prove the association between retinopathy and diabetes. More... »

PAGES

378-391

Book

TITLE

Probability, Statistics and Modelling in Public Health

ISBN

0-387-26022-6

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/0-387-26023-4_25

DOI

http://dx.doi.org/10.1007/0-387-26023-4_25

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1022041220


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