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Random-effects models for longitudinal data.
Laird NM, Ware JH. Laird NM, et al. Biometrics. 1982 Dec;38(4):963-74. Biometrics. 1982. PMID: 7168798
Random-effects models for serial observations with binary response.
Stiratelli R, Laird N, Ware JH. Stiratelli R, et al. Biometrics. 1984 Dec;40(4):961-71. Biometrics. 1984. PMID: 6534418
Age, period, and cohort effects on pulmonary function in a 24-year longitudinal study.
Xu X, Laird N, Dockery DW, Schouten JP, Rijcken B, Weiss ST. Xu X, et al. Am J Epidemiol. 1995 Mar 15;141(6):554-66. doi: 10.1093/oxfordjournals.aje.a117471. Am J Epidemiol. 1995. PMID: 7900723
A Bayesian framework for intent-to-treat analysis with missing data.
Kleinman KP, Ibrahim JG, Laird NM. Kleinman KP, et al. Biometrics. 1998 Mar;54(1):265-78. Biometrics. 1998. PMID: 9544521
If measurements are made after treatment drop-out on a random sample of subjects who drop the treatment, then Hogan and Laird (1996, Biometrics 52, 1002-1017) present a random effects model, well suited to this type of analysis, which fits a two-piece linear spline to the …
If measurements are made after treatment drop-out on a random sample of subjects who drop the treatment, then Hogan and Laird (1996, …
Intention-to-treat analyses for incomplete repeated measures data.
Hogan JW, Laird NM. Hogan JW, et al. Biometrics. 1996 Sep;52(3):1002-17. Biometrics. 1996. PMID: 8805765
Performance of generalized estimating equations in practical situations.
Lipsitz SR, Fitzmaurice GM, Orav EJ, Laird NM. Lipsitz SR, et al. Biometrics. 1994 Mar;50(1):270-8. Biometrics. 1994. PMID: 8086610
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