Estimation efficiency in a binary mixed-effects model setting

Biometrika

Volumn 83, Issue 2, 1996, Pages 441-446

  Neuhaus, J M ^a   Lesperance, M L ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF VICTORIA   (Canada)

Author keywords

Clustered data; Conditional likelihood; Semiparametric mixture model

Indexed keywords

EID: 0001210894     PISSN: 00063444     EISSN: None     Source Type: Journal    
DOI: 10.1093/biomet/83.2.441     Document Type: Article

References (9)

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4. LINDSAY, B. (1983). Efficiency of the conditional score in a mixture setting. Ann. Statist. 11, 486-97.
5. LINDSAY, B. (1995). Mixture Models: Theory, Geometry and Applications. Hayward, CA: IMS.
6. LINDSAY, B., CLOGG, C. C. & GREGO, J. (1991). Semiparametric estimation in the Rasch model and related exponential response models, including a simple latent class model for item analysis. J. Am. Statist. Assoc. 86, 96-107.
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9. STIRATELLI, R., LAIRD, N. & WARE, J. H. (1984). Random-effects model for serial observations with binary response. Biometrics 40, 961-71.