On identifying effective and superior drug combinations via Holm's procedure based on the Min tests

Julia N. Soulakova

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

In this paper I consider a problem of identifying all effective and superior drug combinations. I formulate this problem in terms of a family of hypotheses and propose a two-stage method to solve it. The first stage uses individual p-values obtained via the Min tests, whereas Holm's approach is employed in the second stage to draw simultaneous inferences. This procedure is shown to control the family-wise error rate in a strong sense. The performance of the procedure is studied by simulation for different parameter settings. The conclusions of the simulation study are stated in terms of the power, family-wise error rate and lack of power.

Original languageEnglish (US)
Pages (from-to)280-291
Number of pages12
JournalJournal of Biopharmaceutical Statistics
Volume19
Issue number2
DOIs
StatePublished - Mar 1 2009

Fingerprint

Familywise Error Rate
Drug Combinations
Drugs
Simultaneous Inference
p-Value
Simulation Study
Simulation
Family

Keywords

  • Closed testing
  • Dose-response
  • Minimum effective dose
  • Multiple testing
  • Step-down procedure

ASJC Scopus subject areas

  • Pharmacology (medical)
  • Pharmacology
  • Statistics and Probability

Cite this

On identifying effective and superior drug combinations via Holm's procedure based on the Min tests. / Soulakova, Julia N.

In: Journal of Biopharmaceutical Statistics, Vol. 19, No. 2, 01.03.2009, p. 280-291.

Research output: Contribution to journalArticle

@article{655c1551abff41a39b797598d2a1a596,
title = "On identifying effective and superior drug combinations via Holm's procedure based on the Min tests",
abstract = "In this paper I consider a problem of identifying all effective and superior drug combinations. I formulate this problem in terms of a family of hypotheses and propose a two-stage method to solve it. The first stage uses individual p-values obtained via the Min tests, whereas Holm's approach is employed in the second stage to draw simultaneous inferences. This procedure is shown to control the family-wise error rate in a strong sense. The performance of the procedure is studied by simulation for different parameter settings. The conclusions of the simulation study are stated in terms of the power, family-wise error rate and lack of power.",
keywords = "Closed testing, Dose-response, Minimum effective dose, Multiple testing, Step-down procedure",
author = "Soulakova, {Julia N.}",
year = "2009",
month = "3",
day = "1",
doi = "10.1080/10543400802622469",
language = "English (US)",
volume = "19",
pages = "280--291",
journal = "Journal of Biopharmaceutical Statistics",
issn = "1054-3406",
publisher = "Taylor and Francis Ltd.",
number = "2",

}

TY - JOUR

T1 - On identifying effective and superior drug combinations via Holm's procedure based on the Min tests

AU - Soulakova, Julia N.

PY - 2009/3/1

Y1 - 2009/3/1

N2 - In this paper I consider a problem of identifying all effective and superior drug combinations. I formulate this problem in terms of a family of hypotheses and propose a two-stage method to solve it. The first stage uses individual p-values obtained via the Min tests, whereas Holm's approach is employed in the second stage to draw simultaneous inferences. This procedure is shown to control the family-wise error rate in a strong sense. The performance of the procedure is studied by simulation for different parameter settings. The conclusions of the simulation study are stated in terms of the power, family-wise error rate and lack of power.

AB - In this paper I consider a problem of identifying all effective and superior drug combinations. I formulate this problem in terms of a family of hypotheses and propose a two-stage method to solve it. The first stage uses individual p-values obtained via the Min tests, whereas Holm's approach is employed in the second stage to draw simultaneous inferences. This procedure is shown to control the family-wise error rate in a strong sense. The performance of the procedure is studied by simulation for different parameter settings. The conclusions of the simulation study are stated in terms of the power, family-wise error rate and lack of power.

KW - Closed testing

KW - Dose-response

KW - Minimum effective dose

KW - Multiple testing

KW - Step-down procedure

UR - http://www.scopus.com/inward/record.url?scp=60749116315&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=60749116315&partnerID=8YFLogxK

U2 - 10.1080/10543400802622469

DO - 10.1080/10543400802622469

M3 - Article

C2 - 19212880

AN - SCOPUS:60749116315

VL - 19

SP - 280

EP - 291

JO - Journal of Biopharmaceutical Statistics

JF - Journal of Biopharmaceutical Statistics

SN - 1054-3406

IS - 2

ER -