Literature DB >> 2028129

Sample sizes for repeated measurements in dichotomous data.

K J Lui1.   

Abstract

When the measurement of outcome varies within studied subjects and the cost of additional subjects is high, taking more than one measurement for each subject constitutes a useful alternative to increase the power or to reduce the total cost of the study. In this paper, I present sample size formulae for repeated measurements in dichotomous data under different situations. I also discuss optimal sample allocation for repeated measurements.

Mesh:

Year:  1991        PMID: 2028129     DOI: 10.1002/sim.4780100318

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


  3 in total

1.  Sample size computations for PK/PD population models.

Authors:  Dongwoo Kang; Janice B Schwartz; Davide Verotta
Journal:  J Pharmacokinet Pharmacodyn       Date:  2005-12       Impact factor: 2.745

2.  Sample Size Calculations for Time-Averaged Difference of Longitudinal Binary Outcomes.

Authors:  Ying Lou; Jing Cao; Song Zhang; Chul Ahn
Journal:  Commun Stat Theory Methods       Date:  2016-02-18       Impact factor: 0.893

3.  Relative efficiency of equal versus unequal cluster sizes in cluster randomized trials with a small number of clusters.

Authors:  Jingxia Liu; Chengjie Xiong; Lei Liu; Guoqiao Wang; Luo Jingqin; Feng Gao; Ling Chen; Yan Li
Journal:  J Biopharm Stat       Date:  2020-09-24       Impact factor: 1.051

  3 in total

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