Indexed keywords
ARTICLE;
BOOTSTRAPPING;
CASE CONTROL STUDY;
COMPUTATIONALLY INTENSIVE JACKKNIFE METHOD;
COVARIANCE;
DATA ANALYSIS;
HUMAN;
LOGISTIC REGRESSION ANALYSIS;
LOW BIRTH WEIGHT;
MAXIMUM CONDITIONAL LIKEHOOD ESTIMATOR;
MAXIMUM LIKELIHOOD METHOD;
MODIFIED SCORE FUNCTION;
SIMULATION;
STATISTICAL MODEL;
STATISTICAL PARAMETERS;
SYSTEMATIC ERROR;
BIAS (EPIDEMIOLOGY);
CASE-CONTROL STUDIES;
COMPUTER SIMULATION;
EFFECT MODIFIER, EPIDEMIOLOGIC;
HUMANS;
INFANT, LOW BIRTH WEIGHT;
INFANT, NEWBORN;
LOGISTIC MODELS;
1
0021643801
Small-sample bias of point estimators of the odds ratio from matched sets
Jewell NP. Small-sample bias of point estimators of the odds ratio from matched sets. Biometrics 1984; 40:421-435.
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Biometrics
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Jewell, N.P.1
2
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Discrete Multivariate Analyses: Theory and Practice
MIT Press: Cambridge, MA,
Bishop YMM, Fienberg SE, Holland PW. Discrete Multivariate Analyses: Theory and Practice. MIT Press: Cambridge, MA, 1975.
(1975)
Bishop, Y.M.M.1
Fienberg, S.E.2
Holland, P.W.3
3
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Small-sample bias and corrections for conditional maximum-likelihood odds-ratio estimators
Greenland S. Small-sample bias and corrections for conditional maximum-likelihood odds-ratio estimators. Biostatistics 2000; 1:113-122.
(2000)
Biostatistics
, vol.1
, pp. 113-122
Greenland, S.1
5
0002178053
Bias reduction of maximum likelihood estimates
Firth D. Bias reduction of maximum likelihood estimates. Biometrika 1993; 80:27-38.
(1993)
Biometrika
, vol.80
, pp. 27-38
Firth, D.1
6
0037199788
A solution to the problem of separation in logistic regression
Heinze G, Schemper M. A solution to the problem of separation in logistic regression. Statistics in Medicine 2002; 21:2409-2419.
(2002)
Statistics in Medicine
, vol.21
, pp. 2409-2419
Heinze, G.1
Schemper, M.2
8
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Confidence intervals for multinomial logistic regression in sparse data
Bull SB, Lewinger JP, Lee SSF. Confidence intervals for multinomial logistic regression in sparse data. Statistics in Medicine 2007; 26:903-918.
(2007)
Statistics in Medicine
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, pp. 903-918
Bull, S.B.1
Lewinger, J.P.2
Lee, S.S.F.3
9
0035099124
A solution to the problem of monotone likelihood in Cox regression
Heinze G, Schemper M. A solution to the problem of monotone likelihood in Cox regression. Biometrics 2001; 57:114-119.
(2001)
Biometrics
, vol.57
, pp. 114-119
Heinze, G.1
Schemper, M.2
10
0003492892
Statistical Methods in Cancer Research, Volume 1-The Analysis of Case-Control Studies
IARC: Lyon,
Breslow NE, Day NE. Statistical Methods in Cancer Research, Volume 1-The Analysis of Case-Control Studies. IARC: Lyon, 1980.
(1980)
Breslow, N.E.1
Day, N.E.2
11
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Analysis of Binary Data
2nd edn). Chapman & Hall: London,
Cox DR, Snell EJ. Analysis of Binary Data (2nd edn). Chapman & Hall: London, 1968.
(1968)
Cox, D.R.1
Snell, E.J.2
12
0004262735
Robust Statistics
Wiley: New York,
Huber PJ. Robust Statistics. Wiley: New York, 1981.
(1981)
Huber, P.J.1
13
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A comparative investigation of methods for logistic regression with separated or nearly separated data
Heinze G. A comparative investigation of methods for logistic regression with separated or nearly separated data. Statistics in Medicine 2006; 25:4216-4226.
(2006)
Statistics in Medicine
, vol.25
, pp. 4216-4226
Heinze, G.1
14
0003508724
Applied Logistic Regression
Wiley: New York,
Hosmer DW, Lemeshow S. Applied Logistic Regression. Wiley: New York, 1989.
(1989)
Hosmer, D.W.1
Lemeshow, S.2