Literature DB >> 22962518

A note on confidence bounds after fixed-sequence multiple tests.

Yi-Hsuan Tu1, Bin Cheng, Ying Kuen Cheung.   

Abstract

We are concerned with the problem of estimating the treatment effects at the effective doses in a dose-finding study. Under monotone dose-response, the effective doses can be identified through the estimation of the minimum effective dose, for which there is an extensive set of statistical tools. In particular, when a fixed-sequence multiple testing procedure is used to estimate the minimum effective dose, Hsu and Berger (1999) show that the confidence lower bounds for the treatment effects can be constructed without the need to adjust for multiplicity. Their method, called the dose-response method, is simple to use, but does not account for the magnitude of the observed treatment effects. As a result, the dose-response method will estimate the treatment effects at effective doses with confidence bounds invariably identical to the hypothesized value. In this paper, we propose an error-splitting method as a variant of the dose-response method to construct confidence bounds at the identified effective doses after a fixed-sequence multiple testing procedure. Our proposed method has the virtue of simplicity as in the dose-response method, preserves the nominal coverage probability, and provides sharper bounds than the dose-response method in most cases.

Entities:  

Year:  2012        PMID: 22962518      PMCID: PMC3432991          DOI: 10.1016/j.jspi.2012.05.002

Source DB:  PubMed          Journal:  J Stat Plan Inference        ISSN: 0378-3758            Impact factor:   1.111


  1 in total

1.  Multiple test procedures for dose finding.

Authors:  A C Tamhane; Y Hochberg; C W Dunnett
Journal:  Biometrics       Date:  1996-03       Impact factor: 2.571

  1 in total
  1 in total

1.  The thresholds for statistical and clinical significance - a five-step procedure for evaluation of intervention effects in randomised clinical trials.

Authors:  Janus Christian Jakobsen; Christian Gluud; Per Winkel; Theis Lange; Jørn Wetterslev
Journal:  BMC Med Res Methodol       Date:  2014-03-04       Impact factor: 4.615

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.