Literature DB >> 8924575

Changepoint statistics for assessing a treatment-covariate interaction.

J A Koziol1, S C Wu.   

Abstract

We formulate a stochastic process approach, related to that of Miller and Siegmund (1982, Biometrics 38, 1001-1016), for comparing two treatments in the setting where a covariate might affect the difference between the treatments. We illustrate the approach with data from a recent clinical trial examining whether pretreating subjects scheduled for major elective surgery with erythropoietin reduces their subsequent requirement for blood transfusion. The approach is valuable in identifying a changepoint in baseline hemoglobin level below which subjects appear to be more responsive to the infusion of erythropoietin.

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Year:  1996        PMID: 8924575

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


  3 in total

1.  Model-robust inference for continuous threshold regression models.

Authors:  Youyi Fong; Chongzhi Di; Ying Huang; Peter B Gilbert
Journal:  Biometrics       Date:  2016-11-17       Impact factor: 2.571

2.  Change point testing in logistic regression models with interaction term.

Authors:  Youyi Fong; Chongzhi Di; Sallie Permar
Journal:  Stat Med       Date:  2015-01-22       Impact factor: 2.373

3.  Threshold-based subgroup testing in logistic regression models in two-phase sampling designs.

Authors:  Ying Huang; Juhee Cho; Youyi Fong
Journal:  J R Stat Soc Ser C Appl Stat       Date:  2020-11-28       Impact factor: 1.864

  3 in total

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