Article convidat de la revista SORT: Independent increments in group sequential tests: a review

La revista SORT (Statistics and Operations Research Transactions) es complau a convidar-vos a la presentació de l’article  “Independent increments in group sequential tests: a review

La presentació serà a càrrec de KyungMann Kim, professor de l’School of Medicine and Public Health, de la Universitat de Wisconsin-Madison.

Resum de l’article: In order to apply group sequential methods for interim analysis for early stopping in clinical trials, the joint distribution of test statistics over time has to be known. Often the distribution is multivariate normal or asymptotically so, and an application of group sequential methods requires multivariate integration to determine the group sequential boundaries. However, if the increments between successive test statistics are independent, the multivariate integration reduces to a univariate integration involving simple recursion based on convolution. This allows application of standard group sequential methods. In this paper we review group sequential methods and the development that established independent increments in test statistics for the primary outcomes of longitudinal or failure time data.

Aquest acte es durà a terme el dimarts 27 d’abril, a les 17:00h, online (via Zoom).

Inscripcions

Us hi esperem!


 

The journal SORT (Statistics and Operations Research Transactions) is pleased to invite you to the presentation of the article “Independent increments in group sequential tests: a review

The presentation will be given by KyungMann Kim, professor in the School of Medicine and Public Health, at the University of Wisconsin-Madison.

Abstract: In order to apply group sequential methods for interim analysis for early stopping in clinical trials, the joint distribution of test statistics over time has to be known. Often the distribution is multivariate normal or asymptotically so, and an application of group sequential methods requires multivariate integration to determine the group sequential boundaries. However, if the increments between successive test statistics are independent, the multivariate integration reduces to a univariate integration involving simple recursion based on convolution. This allows application of standard group sequential methods. In this paper we review group sequential methods and the development that established independent increments in test statistics for the primary outcomes of longitudinal or failure time data.

This event will take place on Tuesday, april 27, at 17:00h, online (by Zoom).

Registrations

See you there!