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Statistics review 14: Logistic regression.
Bewick V, Cheek L, Ball J.
Crit Care. 2005 Feb;9(1):112-8. Epub 2005 Jan 13.PMID: 15693993 [PubMed - indexed for MEDLINE]Related articlesFree article
Logistic regression.
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Methods Mol Biol. 2007;404:273-301. Review.PMID: 18450055 [PubMed - indexed for MEDLINE]Related articles
Beyond logistic regression: structural equations modelling for binary variables and its application to investigating unobserved confounders.
Kupek E.
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Logistic regression for dependent binary observations.
Bonney GE.
Biometrics. 1987 Dec;43(4):951-73.PMID: 3427178 [PubMed - indexed for MEDLINE]Related articles
[Dichotomization of continuous variables in logistic regression models]
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Rev Med Chil. 1996 Jul;124(7):836-42. Spanish. PMID: 9138372 [PubMed - indexed for MEDLINE]Related articles
The cox proportional hazards model with a continuous latent variable measured by multiple binary indicators.
Larsen K.
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Effects of mismodelling and mismeasuring explanatory variables on tests of their association with a response variable.
Lagakos SW.
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[Unconditioned logistic regression and sample size: a bibliographic review]
Ortega Calvo M, Cayuela Domínguez A.
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Extending logistic regression to model diffuse interactions.
Gustafson P, Kazi AM, Levy AR.
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[Logistic regression: a useful tool in rehabilitation research]
Muche R.
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Measurement error in the explanatory variable of a binary regression: regression calibration and integrated conditional likelihood in studies of residential radon and lung cancer.
Fearn T, Hill DC, Darby SC.
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Analysis on binary responses with ordered covariates and missing data.
Taylor JM, Wang L, Li Z.
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The intermediate endpoint effect in logistic and probit regression.
MacKinnon DP, Lockwood CM, Brown CH, Wang W, Hoffman JM.
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A logistic regression mixture model for interval mapping of genetic trait loci affecting binary phenotypes.
Deng W, Chen H, Li Z.
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Three methods to construct predictive models using logistic regression and likelihood ratios to facilitate adjustment for pretest probability give similar results.
Chan SF, Deeks JJ, Macaskill P, Irwig L.
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Properties of R(2) statistics for logistic regression.
Hu B, Palta M, Shao J.
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Latin hypercube approach to estimate uncertainty in ground water vulnerability.
Gurdak JJ, McCray JE, Thyne G, Qi SL.
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Determination of osteoporosis risk factors using a multiple logistic regression model in postmenopausal Turkish women.
Akkus Z, Camdeviren H, Celik F, Gur A, Nas K.
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Controlling for continuous confounding factors: non- and semiparametric approaches.
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Ranked set sampling for efficient estimation of a population proportion.
Chen H, Stasny EA, Wolfe DA.
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