Abstract
It is common to assume a constant cluster size in the estimation of sample size for cluster randomized trials. Manatunga et al. (1) derived sample size estimation for continuous response variables in cases of varying cluster size. This paper discusses a parallel study for binary response variables. We compare the maximum cluster size method, the average cluster size method, and the proposed method.
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References
1.
Manatunga
AK
Hudgens
MG
Chen
S.
Sample size estimation in cluster randomized studies with varying cluster size . Biometrical J.
2001 ; 43 (1 )75 –86 .
2.
Donner
A
Klar
N.
Design and Analysis of Cluster Randomization Trials in Health Research.
Oxford, United Kingdom : Oxford University Press ; 2000 .
3.
Donner
A
Klar
N.
Confidence interval construction for effect measures arising from cluster randomization trials . J Clin Epidemiol.
1993 ;46 :123 –131 .
4.
Donner
A.
A review of inference procedures for the intraclass correlation coefficient in the one-way random effects model . Int Stat Rev.
1986 ;54 :67 –82 .
5.
Hanley
JA
Negassa
A
Edwards
MD
GEE analysis of negatively correlated binary responses: A caution . Stat Med.
2000 ;19 :715 –722 .
6.
Lunn
AD
Davies
SJ
A note on generating correlated binary variables . Biometrika.
1998 ;85 :487 –490 .
7.
Banting
DW
Ellen
RP
Fillery
ED
A longitudinal study of root caries: Baseline and incidence data . J Dental Res.
1985 ;64 :1141 –1144 .
8.
Rosner
B.
Fundamentals of Biostatistics , 5th edition. Pacific Grove, CA: Duxbury.
9.
Jung
S
Ahn
C.
Estimation of response probability in correlated binary data: A new approach . Drug Inf J.
2000 ;34 :599 –604 .
10.
Jung
SH
Kang
SH
Ahn
C.
Sample size calculations for clustered binary data . Stat Med.
2001 ; 20 :1971 –1982 .
