[austin:2010]

Peter C. Austin. Estimating multilevel logistic regression models when the number of clusters is low: A comparison of different statistical software procedures. The International Journal of Biostatistics, 6(1), 2010.

[bi:jeske:2010]

Yingtao Bi and Daniel R. Jeske. The efficiency of logistic regression compared to normal discriminant analysis under class-conditional classification noise. Journal of Multivariate Analysis, 101(7):1622-1637, August 2010.

[capanu:2008]

Marinela Capanu and Brett Presnell. Misspecification tests for binomial and beta-binomial models. Stat. Med., 27(14):2536-2554, 2008.

[christmann_measuring_2001]

Andreas Christmann and Peter J. Rousseeuw. Measuring overlap in binary regression. Computational Statistics & Data Analysis, 37(1):65-75, July 2001.

[comuladal:weiss:2007]

W. Scott Comuladal and Robert E. Weiss. On models for binomial data with random numbers of trials. Biometrics, 63(2):610-617, 2007.

[connolly_conditional_1988]

Margaret A. Connolly and Kung-Yee Liang. Conditional logistic regression models for correlated binary data. Biometrika, 75(3):501-506, September 1988.

[crouchley_comparison_1999]

R. Crouchley and R. B. Davies. A comparison of population average and random-effect models for the analysis of longitudinal count data with base-line information. Journal of the Royal Statistical Society. Series A (Statistics in Society), 162(3):331-347, January 1999.

[danaher:hardie:2005]

Peter J. Danaher and Bruce G. S. Hardie. Bacon with your eggs? Applications of a new bivariate beta-binomial distribution. Amer. Statist., 59(4):282-286, 2005.

[drum:mccu:1993]

Melinda L. Drum and Peter McCullagh. Reml estimation with exact covariance in the logistic mixed model. Biometrics, 49(3):677-689, 1993.

[duffy:1990]

Diane E. Duffy. On continuity-corrected residuals in logistic regression. Biometrika, 77(2):287-293, 1990.

[fahrmeir_consistency_1985]

Ludwig Fahrmeir. Consistency and asymptotic normality of the maximum likelihood estimator in generalized linear models. The Annals of Statistics, 13(1):342-368, March 1985. Mathematical Reviews number (MathSciNet): MR773172; Zentralblatt MATH identifier: 0594.62058.

[farewell_dirichlet_2013]

Daniel M. Farewell and Vernon T. Farewell. Dirichlet negative multinomial regression for overdispersed correlated count data. Biostatistics, 14(2):395-404, April 2013.

[follmann_multiple_2003]

Dean Follmann, Michael Proschan, and Eric Leifer. Multiple outputation: Inference for complex clustered data by averaging analyses from independent data. Biometrics, 59(2):420-429, June 2003.

[gelman:jakulin:2008]

Andrew Gelman, Aleks Jakulin, Maria Grazia Pittau, and Yu-Sung Su. A weakly informative default prior distribution for logistic and other regression models. The Annals of Applied Statistics, 2(4):1360-1383, 2008.

[glonek:mccullagh:1995]

G. F. V. Glonek and P. McCullagh. Multivariate logistic models. Journal of the Royal Statistical Society. Series B (Methodological), 57(3):533-546, 1995.

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Joseph G. Ibrahim, Ming-Hui Chen, Stuart R. Lipsitz, and Amy H. Herring. Missing-data methods for generalized linear models: a comparative review. J. Amer. Statist. Assoc., 100(469):332-346, 2005.

[kauermann_note_2001]

Göran Kauermann and Raymond J. Carroll. A note on the efficiency of sandwich covariance matrix estimation. Journal of the American Statistical Association, 96(456):1387-1396, December 2001.

[liang:mccullagh:1993]

Kung-Yee Liang and Peter McCullagh. Case studies in binary dispersion. Biometrics, 49(2):623-630, 1993.

[lindsey_appropriateness_1998]

J. K Lindsey and P. Lambert. On the appropriateness of marginal models for repeated measurements in clinical trials. Statistics in Medicine, 17(4):447-469, February 1998.

[lipsitz_bias_2012]

Stuart R. Lipsitz, Garrett M. Fitzmaurice, Scott E. Regenbogen, Debajyoti Sinha, Joseph G. Ibrahim, and Atul A. Gawande. Bias correction for the proportional odds logistic regression model with application to a study of surgical complications. Journal of the Royal Statistical Society: Series C (Applied Statistics), page no–no, 2012.

[mccullagh:1986]

Peter McCullagh. The conditional distribution of goodness-of-fit statistics for discrete data. Journal of the American Statistical Association, 81(393):104-107, 1986.

[neuhaus_comparison_1991]

J. M. Neuhaus, J. D. Kalbfleisch, and W. W. Hauck. A comparison of cluster-specific and population-averaged approaches for analyzing correlated binary data. International Statistical Review / Revue Internationale de Statistique, 59(1):25-35, April 1991.

[noh:lee:2007]

Maengseok Noh and Youngjo Lee. Robust modeling for inference from generalized linear model classes. J. Amer. Statist. Assoc., 102(479):1059-1072, 2007.

[pier:scha:1986]

Donald A. Pierce and Daniel W. Schafer. Residuals in generalized linear models. Journal of the American Statistical Association, 81(396):977-986, 1986. See also Duffy (1990).

[pres:boos:2004]

Brett Presnell and Dennis D. Boos. The ios test for model misspecification. Journal of the American Statistical Association, 99(465):216-227, 2004.

[presnell:etal:1998]

Brett Presnell, Scott P. Morrison, and Ramon C. Littell. Projected multivariate linear models for directional data. Journal of the American Statistical Association, 93(443):1068-1077, 1998.

[ridout_score_2001]

Martin Ridout, John Hinde, and Clarice G. B DeméAtrio. A score test for testing a Zero-Inflated poisson regression model against Zero-Inflated negative binomial alternatives. Biometrics, Biometrics, 57, 57(1, 1):219, 219-223, 223, March 2001.

[ritz_equivalence_2004]

John Ritz and Donna Spiegelman. Equivalence of conditional and marginal regression models for clustered and longitudinal data. Statistical Methods in Medical Research, 13(4):309 --323, 2004.

[rousseeuw_robustness_2003]

P. J Rousseeuw and A. Christmann. Robustness against separation and outliers in logistic regression. Computational Statistics & Data Analysis, 43(3):315–332, 2003.

[ruckstuhl:welsh:1999]

Andreas F. Ruckstuhl and Alan H. Welsh. Reference bands for nonparametrically estimated link functions. Journal of Computational and Graphical Statistics, 8(4):699-714, 1999.

[saffari_investigating_2013]

Seyed Ehsan Saffari, Robiah Adnan, and William Greene. Investigating the impact of excess zeros on hurdle-generalized poisson regression model with right censored count data. Statistica Neerlandica, 67(1):67–80, 2013.

[scoretestproblems.1]

B. J. T. Morgan, K. J. Palmer, and M. S. Ridout. Negative score test statistic. Amer. Statist., 61(4):285-288, 2007. If you choose this one you must take all three of MR2411782, MR2411783, and MR2411784.

[scoretestproblems.2]

Geert Verbeke and Geert Molenberghs. What can go wrong with the score test?. Amer. Statist., 61(4):289-290, 2007. If you choose this one you must take all three of MR2411782, MR2411783, and MR2411784.

[scoretestproblems.3]

David A. Freedman. How can the score test be inconsistent?. Amer. Statist., 61(4):291-295, 2007. If you choose this one you must take all three of MR2411782, MR2411783, and MR2411784.

[simonoff_logistic_1998]

Jeffrey S. Simonoff. Logistic regression, categorical predictors, and goodness-of-fit: It depends on who you ask. The American Statistician, 52(1):10-14, February 1998.

[smyth:1989]

Gordon K. Smyth. Generalized linear models with varying dispersion. Journal of the Royal Statistical Society. Series B (Methodological), 51(1):47-60, 1989.

[verbeke_use_2003]

Geert Verbeke and Geert Molenberghs. The use of score tests for inference on variance components. Biometrics, 59(2):254-262, June 2003.

[wiens_when_1999]

Brian L. Wiens. When log-normal and gamma models give different results: A case study. The American Statistician, 53(2):89-93, May 1999.

[yee:wild:1996]

T. W. Yee and C. J. Wild. Vector generalized additive models. Journal of the Royal Statistical Society. Series B (Methodological), 58(3):481-493, 1996.