Abstract
Community intervention trials involve randomization of communities to either an intervention or control arm. The objective of this paper is to evaluate person-time methods of analysis of paired community intervention trials when the number of community pairs is small. We consider several test procedures and evaluate their performance by simulation. Naive methods that ignore intracluster correlation, such as standard Mantel-Haenszel type statistics, can be misleading. The performance of the paired t-test depends on the distribution of the random community effects. Permutation tests perform well for the ranges of situations considered. However, there can be considerable loss of power with permutation methods compared to standard Mantel-Haenszel methods if in fact there is no intracluster correlation when the number of pairs is small. We consider methods to account for individual level covariates. Motivation for this work came from recent randomized community intervention trials in Africa to prevent transmission of the human immunodeficiency virus (HIV).
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2121-2132 |
| Number of pages | 12 |
| Journal | Statistics in Medicine |
| Volume | 17 |
| Issue number | 18 |
| DOIs | |
| State | Published - Sep 30 1998 |
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ASJC Scopus subject areas
- Epidemiology
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Person-time analysis of paired community intervention trials when the number of communities is small. / Brookmeyer, Ron; Chen, Ying Qing.
In: Statistics in Medicine, Vol. 17, No. 18, 30.09.1998, p. 2121-2132.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Person-time analysis of paired community intervention trials when the number of communities is small
AU - Brookmeyer, Ron
AU - Chen, Ying Qing
PY - 1998/9/30
Y1 - 1998/9/30
N2 - Community intervention trials involve randomization of communities to either an intervention or control arm. The objective of this paper is to evaluate person-time methods of analysis of paired community intervention trials when the number of community pairs is small. We consider several test procedures and evaluate their performance by simulation. Naive methods that ignore intracluster correlation, such as standard Mantel-Haenszel type statistics, can be misleading. The performance of the paired t-test depends on the distribution of the random community effects. Permutation tests perform well for the ranges of situations considered. However, there can be considerable loss of power with permutation methods compared to standard Mantel-Haenszel methods if in fact there is no intracluster correlation when the number of pairs is small. We consider methods to account for individual level covariates. Motivation for this work came from recent randomized community intervention trials in Africa to prevent transmission of the human immunodeficiency virus (HIV).
AB - Community intervention trials involve randomization of communities to either an intervention or control arm. The objective of this paper is to evaluate person-time methods of analysis of paired community intervention trials when the number of community pairs is small. We consider several test procedures and evaluate their performance by simulation. Naive methods that ignore intracluster correlation, such as standard Mantel-Haenszel type statistics, can be misleading. The performance of the paired t-test depends on the distribution of the random community effects. Permutation tests perform well for the ranges of situations considered. However, there can be considerable loss of power with permutation methods compared to standard Mantel-Haenszel methods if in fact there is no intracluster correlation when the number of pairs is small. We consider methods to account for individual level covariates. Motivation for this work came from recent randomized community intervention trials in Africa to prevent transmission of the human immunodeficiency virus (HIV).
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U2 - 10.1002/(SICI)1097-0258(19980930)17:18<2121::AID-SIM907>3.0.CO;2-S
DO - 10.1002/(SICI)1097-0258(19980930)17:18<2121::AID-SIM907>3.0.CO;2-S
M3 - Article
C2 - 9789918
AN - SCOPUS:0032581930
VL - 17
SP - 2121
EP - 2132
JO - Statistics in Medicine
JF - Statistics in Medicine
SN - 0277-6715
IS - 18
ER -