Literature DB >> 20222151

Power for studies with random group sizes.

Walter T Ambrosius1, Jonathan D Mahnken.   

Abstract

In any study it is essential to select the sample size carefully to ensure adequate power. For many studies this is simple: recruit a desired number of subjects within each group, conduct measurements, and perform the statistical test. In some studies (e.g. observational studies), however, the group membership is unknown at recruitment. In this paper we examine the effect of random group sizes on power. Additionally, we consider the situation when the group proportions are unknown and specified by a prior distribution. The problem that initially motivated this research is presented (power for a 2-by-2 table), as are examples using continuous outcomes. We find that standard estimates of power using expected group sizes can over or underestimate power. SAS macros are available at http://www.phs.wfubmc.edu/public/wambrosi/RandomPower.

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Year:  2010        PMID: 20222151      PMCID: PMC2936967          DOI: 10.1002/sim.3873

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  7 in total

1.  Bitter taster status predicts susceptibility to vection-induced motion sickness and nausea.

Authors:  P W Benson; J B Hooker; K L Koch; R B Weinberg
Journal:  Neurogastroenterol Motil       Date:  2011-12-05       Impact factor: 3.598

Review 2.  Sample sizes for clinical trials with normal data.

Authors:  Steven A Julious
Journal:  Stat Med       Date:  2004-06-30       Impact factor: 2.373

3.  Sample size redetermination for repeated measures studies.

Authors:  Steven Julious
Journal:  Biometrics       Date:  2004-03       Impact factor: 2.571

4.  Power for genetic association studies with random allele frequencies and genotype distributions.

Authors:  Walter T Ambrosius; Ethan M Lange; Carl D Langefeld
Journal:  Am J Hum Genet       Date:  2004-03-12       Impact factor: 11.025

5.  Sample size calculations for clinical studies allowing for uncertainty about the variance.

Authors:  Steven A Julious; Roger J Owen
Journal:  Pharm Stat       Date:  2006 Jan-Mar       Impact factor: 1.894

6.  Accounting for variability in sample size estimation with applications to nonadherence and estimation of variance and effect size.

Authors:  Michael P Fay; M Elizabeth Halloran; Dean A Follmann
Journal:  Biometrics       Date:  2007-06       Impact factor: 2.571

Review 7.  Formulae and tables for the determination of sample sizes and power in clinical trials for testing differences in proportions for the two-sample design: a review.

Authors:  H Sahai; A Khurshid
Journal:  Stat Med       Date:  1996-01-15       Impact factor: 2.373

  7 in total
  1 in total

1.  Design of the value of imaging in enhancing the wellness of your heart (VIEW) trial and the impact of uncertainty on power.

Authors:  Walter T Ambrosius; Tamar S Polonsky; Philip Greenland; David C Goff; Letitia H Perdue; Stephen P Fortmann; Karen L Margolis; Nicholas M Pajewski
Journal:  Clin Trials       Date:  2012-02-14       Impact factor: 2.486

  1 in total

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