Power and sample size calculations for longitudinal studies comparing rates of change with a time-varying exposure

Statistics in Medicine

Volumn 29, Issue 2, 2010, Pages 181-192

  Basagana X ^a,b,c   Spiegelman, D ^d  

^a CENTRE FOR RESEARCH IN ENVIRONMENTAL EPIDEMIOLOGY CREAL   (Spain)

^b INST MUNIC D INVESTIGACIO MEDICA   (Spain)

^c CIBER EPIDEMIOLOGÍA Y SALUD PÚBLICA CIBERESP   (Spain)

^d HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Longitudinal study; Observational study; Rate of change; Repeated measures; Study design; Time dependent

Indexed keywords

ARTICLE; CALCULATION; CONTROLLED STUDY; EXPOSURE; HEALTH PROGRAM; LONGITUDINAL STUDY; OBSERVATIONAL STUDY; POWER ANALYSIS; PREVALENCE; SAMPLE SIZE; TIME;

ALGORITHMS; ANALYSIS OF VARIANCE; EPIDEMIOLOGIC RESEARCH DESIGN; HUMANS; INTERNET; LEAST-SQUARES ANALYSIS; LONGITUDINAL STUDIES; MODELS, STATISTICAL; SAMPLE SIZE; STATISTICAL DISTRIBUTIONS; TIME FACTORS;

EID: 74749098835     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3772     Document Type: Article

References (24)

1. Schlesselman JJ. Planning a longitudinal study. II. Frequency of measurement and study duration. Journal of Chronic Diseases 1973; 26(9):561-570.
2. Kirby AJ, Galai N, Munoz A. Sample size estimation using repeated measurements on biomarkers as outcomes. Controlled Clinical Trials 1994; 15(3):165-172.
3. Frison LJ, Pocock SJ. Linearly divergent treatment effects in clinical trials with repeated measures: efficient analysis using summary statistics. Statistics in Medicine 1997; 16(24):2855-2872.
4. Dawson JD. Sample size calculations based on slopes and other summary statistics. Biometrics 1998; 54(1):323-330.
5. Hedeker D, Gibbons RD, Waternaux C. Sample size estimation for longitudinal designs with attrition: comparing time-related contrasts between two groups. Journal of Educational and Behavioral Statistics 1999; 24(1):70-93.
6. Raudenbush SW, Xiao-Feng L. Effects of study duration, frequency of observation, and sample size on power in studies of group differences in polynomial change. Psychological Methods 2001; 6(4):387-401.
7. Diggle P, Heagerty P, Liang KY, Zeger S. Analysis of Longitudinal Data (2nd edn). Oxford Statistical Science Series, vol. 25. Oxford University Press: Oxford, New York, 2002.
8. Galbraith S, Marschner IC. Guidelines for the design of clinical trials with longitudinal outcomes. Controlled Clinical Trials 2002; 23(3):257-273.
9. Yi Q, Panzarella T. Estimating sample size for tests on trends across repeated measurements with missing data based on the interaction term in a mixed model. Controlled Clinical Trials 2002; 23(5):481-496.
10. Jung SH, Ahn C. Sample size estimation for Gee method for comparing slopes in repeated measurements data. Statistics in Medicine 2003; 22(8):1305-1315.
11. Fitzmaurice GM, Laird NM, Ware JH. Applied Longitudinal Analysis. Wiley Series in Probability and Statistics. Wiley-Interscience: Hoboken, NJ, 2004.
12. Jones B, Kenward MG. Design and Analysis of Cross-over Trials (1st edn). Monographs on Statistics and Applied Probability, vol. 34. Chapman & Hall: London, New York, 1989.
13. Julious SA. Sample sizes for clinical trials with normal data. Statistics in Medicine 2004; 23(12):1921-1986.
14. Moerbeek M, Van Breukelen JP, Berger MPF. Optimal experimental designs for multilevel models with covariates. Communications in Statistics - Theory and Methods 2001; 30(12):2683-2697.
15. Whittemore AS. Sample size for logistic regression with small response probability. Journal of the American Statistical Association 1981; 76(373):27-32.
16. Shieh G. On power and sample size calculations for likelihood ratio tests in generalized linear models. Biometrics 2000; 56(4):1192-1196.
17. Tu XM, Kowalski J, Zhang J, Lynch KG, Crits-Christoph P. Power analyses for longitudinal trials and other clustered designs. Statistics in Medicine 2004; 23(18):2799-2815.
18. Singer JD, Willett JB. Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. Oxford University Press: Oxford, New York, 2003.
19. Checkoway H, Pearce N, Kriebel D. Research Methods in Occupational Epidemiology (2nd edn). Monographs in Epidemiology and Biostatistics, vol. 34. Oxford University Press: Oxford, New York, 2004.
20. Twisk JWR. Applied Longitudinal Data Analysis for Epidemiology. Cambridge University Press: Cambridge, U.K., 2003.
21. Neuhaus JM, Kalbfleisch JD. Between- and within-cluster covariate effects in the analysis of clustered data. Biometrics 1998; 54(2):638- 645.
22. Ridout MS, Demetrio CG, Firth D. Estimating intraclass correlation for binary data. Biometrics 1999; 55(1):137-148.
23. Munoz A, Carey V, Schouten JP, Segal M, Rosner B. A parametric family of correlation structures for the analysis of longitudinal data. Biometrics 1992; 48(3):733-742.
24. Alexander CS, Markowitz R. Maternal employment and use of pediatric clinic services. Medical Care 1986; 24(2):134-147.