-
1
-
-
0002662712
-
On the existence of maximum likelihood estimates in logistic regression models
-
Albert A., and Anderson J.A. On the existence of maximum likelihood estimates in logistic regression models. Biometrika 71 (1984) 1-10
-
(1984)
Biometrika
, vol.71
, pp. 1-10
-
-
Albert, A.1
Anderson, J.A.2
-
2
-
-
0002467271
-
Logistic discrimination and bias correction in maximum likelihood estimation
-
Anderson J.A., and Richardson S.C. Logistic discrimination and bias correction in maximum likelihood estimation. Technometrics 21 (1979) 71-78
-
(1979)
Technometrics
, vol.21
, pp. 71-78
-
-
Anderson, J.A.1
Richardson, S.C.2
-
3
-
-
0037187858
-
A modified score function estimator for multinomial logistic regression in small samples
-
Bull S.B., Mak C., and Greenwood C.M.T. A modified score function estimator for multinomial logistic regression in small samples. Comput. Statist. Data Anal. 39 1 (2002) 57-74
-
(2002)
Comput. Statist. Data Anal.
, vol.39
, Issue.1
, pp. 57-74
-
-
Bull, S.B.1
Mak, C.2
Greenwood, C.M.T.3
-
4
-
-
0000889845
-
Binary regression models for contaminated data, with discussuion
-
Copas J.B. Binary regression models for contaminated data, with discussuion. J. Roy. Statist. Soc. Ser. B 50 (1988) 225-265
-
(1988)
J. Roy. Statist. Soc. Ser. B
, vol.50
, pp. 225-265
-
-
Copas, J.B.1
-
6
-
-
80053264999
-
How biased is the apparent error rate of a prediction rule?
-
Efron B. How biased is the apparent error rate of a prediction rule?. J. Amer. Statist. Assoc. 81 (1986) 461-470
-
(1986)
J. Amer. Statist. Assoc.
, vol.81
, pp. 461-470
-
-
Efron, B.1
-
7
-
-
34047264696
-
-
Firth, D., 1992. Bias reduction, the Jeffreys prior and GLIM. In: Fahrmeir, L., Francis, B., Gilchrist, R., Tutz, G., (Eds.), Advances in GLIM and Statistical Modelling. Springer, NY.
-
-
-
-
8
-
-
0002178053
-
Bias reduction of maximum likelihood estimates
-
Firth D. Bias reduction of maximum likelihood estimates. Biometrika 80 1 (1993) 27-38
-
(1993)
Biometrika
, vol.80
, Issue.1
, pp. 27-38
-
-
Firth, D.1
-
9
-
-
16344365619
-
Classification using partial least squares with penalized logistic regression
-
Fort G., and Lambert-Lacroix S. Classification using partial least squares with penalized logistic regression. Bioinformatics 21 7 (2005) 1104-1111
-
(2005)
Bioinformatics
, vol.21
, Issue.7
, pp. 1104-1111
-
-
Fort, G.1
Lambert-Lacroix, S.2
-
10
-
-
34047258930
-
-
Harrell,F.E., Lee, K.L., 1985. The practical value of logistic regression. Proceedings of the Tenth Annual SAS Users Groups International Conference, SAS Institute Inc., Cary, North Carolina, pp. 1031-1036.
-
-
-
-
11
-
-
0037199788
-
A solution to the problem of separation in logistic regression
-
Heinze G., and Schemper M. A solution to the problem of separation in logistic regression. Statist. Med. 21 16 (2002) 2409-2419
-
(2002)
Statist. Med.
, vol.21
, Issue.16
, pp. 2409-2419
-
-
Heinze, G.1
Schemper, M.2
-
12
-
-
84942484786
-
Ridge regression: biased estimation for nonorthogonal problems
-
Hoerl A.E., and Kennard R.W. Ridge regression: biased estimation for nonorthogonal problems. Technometrics 12 (1970) 55-67
-
(1970)
Technometrics
, vol.12
, pp. 55-67
-
-
Hoerl, A.E.1
Kennard, R.W.2
-
13
-
-
34047265718
-
-
Hoerl, A.E., Kennard, R.W. 1988. Ridge Regression. Encyclopedia of Statistical Sciences 9 vols., vol. 8 (Suppl.). Wiley, New York, pp. 129-136.
-
-
-
-
14
-
-
79960450252
-
On Bayesian analysis of generalized linear models using Jeffrey's prior
-
Ibrahim J.G., and Laud P.W. On Bayesian analysis of generalized linear models using Jeffrey's prior. J. Amer. Statist. Assoc. 86 (1991) 981-986
-
(1991)
J. Amer. Statist. Assoc.
, vol.86
, pp. 981-986
-
-
Ibrahim, J.G.1
Laud, P.W.2
-
15
-
-
84873751778
-
An invariant form for the prior probability in estimation problems
-
Jeffreys H. An invariant form for the prior probability in estimation problems. Proc. Roy. Soc. A. 186 (1946) 453-461
-
(1946)
Proc. Roy. Soc. A.
, vol.186
, pp. 453-461
-
-
Jeffreys, H.1
-
16
-
-
0033234636
-
Conditional inference about generalized linear mixed models
-
Jiang J. Conditional inference about generalized linear mixed models. Ann. Statist. 27 (1999) 1974-2007
-
(1999)
Ann. Statist.
, vol.27
, pp. 1974-2007
-
-
Jiang, J.1
-
18
-
-
0002322488
-
A note on bias correction in maximum likelihood estimation with logistic discrimination
-
McLachlan G. A note on bias correction in maximum likelihood estimation with logistic discrimination. Technometrics 22 (1980) 621-627
-
(1980)
Technometrics
, vol.22
, pp. 621-627
-
-
McLachlan, G.1
-
19
-
-
34047266866
-
-
McCullagh, P., Nelder, J.A., 1989. Generalized linear models, second ed. Chapman & Hall, London.
-
-
-
-
21
-
-
0020623772
-
Bias correction in maximum likelihood logistic regression
-
Schaefer R.L. Bias correction in maximum likelihood logistic regression. Statist. Med. 2 (1983) 71-78
-
(1983)
Statist. Med.
, vol.2
, pp. 71-78
-
-
Schaefer, R.L.1
-
22
-
-
34047273082
-
-
Shen, J., Gao, S., 2006. A solution to separation and multicollinearity in multiple logistic regression. J. Data Sci., in press.
-
-
-
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