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Investigating the assumption of homogeneity of treatment effects in clincal studies with application to meta-analysis

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Investigating the assumption of homogeneity of treatment effects in clincal studies with application to meta-analysis. / Julious, Steven; Whitehead, Anne.

In: Pharmaceutical Statistics, Vol. 11, No. 1, 01.2012, p. 49-56.

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@article{201a81426ed64891bf7ddb2bb599c489,
title = "Investigating the assumption of homogeneity of treatment effects in clincal studies with application to meta-analysis",
abstract = "An important part of the evaluation of a therapy is an investigation of the assumption of homogeneity of its effect across pre-defined subpopulations. In this paper we describe simple graphical presentations that could be used to assess the homogeneity of treatment effect and identify outliers. The emphasis in the paper is on meta-analysis but the methods described can be generalized to other investigations. ",
keywords = "meta-analysis, clinical trials, normal probability plots, simulated envelopes, bootstrapping",
author = "Steven Julious and Anne Whitehead",
year = "2012",
month = jan,
doi = "10.1002/pst.494",
language = "English",
volume = "11",
pages = "49--56",
journal = "Pharmaceutical Statistics",
issn = "1539-1604",
publisher = "John Wiley and Sons Ltd",
number = "1",

}

RIS

TY - JOUR

T1 - Investigating the assumption of homogeneity of treatment effects in clincal studies with application to meta-analysis

AU - Julious, Steven

AU - Whitehead, Anne

PY - 2012/1

Y1 - 2012/1

N2 - An important part of the evaluation of a therapy is an investigation of the assumption of homogeneity of its effect across pre-defined subpopulations. In this paper we describe simple graphical presentations that could be used to assess the homogeneity of treatment effect and identify outliers. The emphasis in the paper is on meta-analysis but the methods described can be generalized to other investigations.

AB - An important part of the evaluation of a therapy is an investigation of the assumption of homogeneity of its effect across pre-defined subpopulations. In this paper we describe simple graphical presentations that could be used to assess the homogeneity of treatment effect and identify outliers. The emphasis in the paper is on meta-analysis but the methods described can be generalized to other investigations.

KW - meta-analysis

KW - clinical trials

KW - normal probability plots

KW - simulated envelopes

KW - bootstrapping

U2 - 10.1002/pst.494

DO - 10.1002/pst.494

M3 - Journal article

VL - 11

SP - 49

EP - 56

JO - Pharmaceutical Statistics

JF - Pharmaceutical Statistics

SN - 1539-1604

IS - 1

ER -