[0presenter:BAI.LEI.1]
Therese A. Stukel. Generalized logistic models. Journal of the American Statistical Association, 83(402):426-431, 1988.

[0presenter:BAI.LEI.2]
Daryl Pregibon. Goodness of link tests for generalized linear models. Journal of the Royal Statistical Society. Series C. Applied Statistics, 29(1):15-24, 1980.

[0presenter:BAI.LEI.3]
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.

[0presenter:CHANG.CHESHUN]
Diane E. Duffy. On continuity-corrected residuals in logistic regression. Biometrika, 77(2):287-293, 1990.

[0presenter:GAO.HAIBING]
Maengseok Noh and Youngjo Lee. Robust modeling for inference from generalized linear model classes. J. Amer. Statist. Assoc., 102(479):1059-1072, 2007.

[0presenter:GORDON.ROBERT]
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.

[0presenter:HUANG.LEI]
Gordon K. Smyth. Generalized linear models with varying dispersion. Journal of the Royal Statistical Society. Series B (Methodological), 51(1):47-60, 1989.

[0presenter:KIM.CHANMIN]
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.

[0presenter:KIRPICH.ALEXANDER]
G. F. V. Glonek and P. McCullagh. Multivariate logistic models. Journal of the Royal Statistical Society. Series B (Methodological), 57(3):533-546, 1995.

[0presenter:LEARY.EMILY]
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.

[0presenter:LIU.MINZHAO.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.

[0presenter:LIU.MINZHAO.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.

[0presenter:LIU.MINZHAO.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.

[0presenter:LUO.XUAN]
W. Scott Comuladal and Robert E. Weiss. On models for binomial data with random numbers of trials. Biometrics, 63(2):610-617, 2007.

[0presenter:MA.LU]
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.

[0presenter:PAL.SUBHADIP]
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.

[0presenter:WANG.SHU]
Kung-Yee Liang and Peter McCullagh. Case studies in binary dispersion. Biometrics, 49(2):623-630, 1993.

[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.

[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.

[MR2411663]
Hansheng Wang and Chenlei Leng. Unified LASSO estimation by least squares approximation. J. Amer. Statist. Assoc., 102(479):1039-1048, 2007.

[MR2440050]
Marinela Capanu and Brett Presnell. Misspecification tests for binomial and beta-binomial models. Stat. Med., 27(14):2536-2554, 2008.

[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.