Sample size calculations for studies with correlated observations
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| Authors | Guanghan F Liu, Kung-Yee Liang |
| Journal/Conference Name | Biometrics |
| Paper Category | Other |
| Paper Abstract | Correlated data occur frequently in biomedical research. Examples include longitudinal studies, family studies, and ophthalmologic studies. In this paper, we present a method to compute sample sizes and statistical powers for studies involving correlated observations. This is a multivariate extension of the work by Self and Mauritsen (1988, Biometrics 44, 79-86), who derived a sample size and power formula for generalized linear models based on the score statistic. For correlated data, we appeal to a statistic based on the generalized estimating equation method (Liang and Zeger, 1986, Biometrika 73, 13-22). We highlight the additional assumptions needed to deal with correlated data. Some special cases that are commonly seen in practice are discussed, followed by simulation studies. |
| Date of publication | 1997 |
| Code Programming Language | R |
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