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Maximum likelihood for the multinomial probit model

Kiefer, Nicholas Maximilian; Natarajan, Ranjini; … - 1995

Persistent link: https://www.econbiz.de/10000910880

Modeling Heterogeneity in Nest Survival Data

Natarajan, Ranjini; McCulloch, Charles E. - In: Biometrics 55 (1999) 2, pp. 553-559

Persistent link: https://www.econbiz.de/10010947119

On the propriety of a modified Jeffreys's prior for variance components in binary random effects models

Natarajan, Ranjini - In: Statistics & Probability Letters 51 (2001) 4, pp. 409-414

This paper proves that a modified Jeffreys's prior on the variance components in binary random effects models is integrable under mild conditions on the link function. These conditions are shown to be satisfied for two commonly used link functions, the logit and probit functions.

Persistent link: https://www.econbiz.de/10005254499

Theory and Methods - Reference Bayesian Methods for Generalized Linear Mixed Models

Natarajan, Ranjini; Kass, Robert E. - In: Journal of the American Statistical Association : JASA 95 (2000) 449, pp. 227-237

Persistent link: https://www.econbiz.de/10006624922

A hazard rate approach to the timing of births

Newman, John L.; McCulloch, Charles E. - In: Econometrica : journal of the Econometric Society, an … 52 (1984) 4, pp. 939-961

Persistent link: https://www.econbiz.de/10002567523

Prediction of Random Effects in Linear and Generalized Linear Models under Model Misspecification

McCulloch, Charles E.; Neuhaus, John M. - In: Biometrics 67 (2011) 1, pp. 270-279

Persistent link: https://www.econbiz.de/10010946735

Rejoinder

Bacchetti, Peter; McCulloch, Charles E.; Segal, Mark R. - In: Biometrics 64 (2008) 2, pp. 592-594

Persistent link: https://www.econbiz.de/10010947724

A Note on Type II Error Under Random Effects Misspecification in Generalized Linear Mixed Models

Neuhaus, John M.; McCulloch, Charles E.; Boylan, Ross - In: Biometrics 67 (2011) 2, pp. 654-656

Persistent link: https://www.econbiz.de/10010947875

Latent Pattern Mixture Models for Informative Intermittent Missing Data in Longitudinal Studies

Lin, Haiqun; McCulloch, Charles E.; Rosenheck, Robert A. - In: Biometrics 60 (2004) 2, pp. 295-305

Persistent link: https://www.econbiz.de/10010948068

Likelihood-based analysis of longitudinal data from outcome-related sampling designs

Neuhaus, John M.; Scott, Alastair J.; Wild, Christopher J. - In: Biometrics 70 (2014) 1, pp. 44-52

Persistent link: https://www.econbiz.de/10010948249

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