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Items: 1 to 20 of 123

1.

Modeling and variable selection in epidemiologic analysis.

Greenland S.

Am J Public Health. 1989 Mar;79(3):340-9.

2.

Imputation and variable selection in linear regression models with missing covariates.

Yang X, Belin TR, Boscardin WJ.

Biometrics. 2005 Jun;61(2):498-506.

PMID:
16011697
3.

[Meta-analysis of the Italian studies on short-term effects of air pollution].

Biggeri A, Bellini P, Terracini B; Italian MISA Group.

Epidemiol Prev. 2001 Mar-Apr;25(2 Suppl):1-71. Italian.

PMID:
11515188
4.

Invited commentary: variable selection versus shrinkage in the control of multiple confounders.

Greenland S.

Am J Epidemiol. 2008 Mar 1;167(5):523-9; discussion 530-1. doi: 10.1093/aje/kwm355. Epub 2008 Jan 27. Erratum in: Am J Epidemiol. 2008 May 1;167(9):1142.

5.

Variable selection for clustering with Gaussian mixture models.

Maugis C, Celeux G, Martin-Magniette ML.

Biometrics. 2009 Sep;65(3):701-9. doi: 10.1111/j.1541-0420.2008.01160.x. Epub 2009 Feb 4.

PMID:
19210744
6.

Analysis of matched case-control data in presence of nonignorable missing exposure.

Sinha S, Maiti T.

Biometrics. 2008 Mar;64(1):106-14. Epub 2007 Jun 15.

PMID:
17573865
7.

Combining directed acyclic graphs and the change-in-estimate procedure as a novel approach to adjustment-variable selection in epidemiology.

Evans D, Chaix B, Lobbedez T, Verger C, Flahault A.

BMC Med Res Methodol. 2012 Oct 11;12:156. doi: 10.1186/1471-2288-12-156.

8.

[Logistic regression: a useful tool in rehabilitation research].

Muche R.

Rehabilitation (Stuttg). 2008 Feb;47(1):56-62. doi: 10.1055/s-2007-992790. Review. German.

PMID:
18247272
9.

Parameter estimation and goodness-of-fit in log binomial regression.

Blizzard L, Hosmer DW.

Biom J. 2006 Feb;48(1):5-22.

PMID:
16544809
10.

Overadjustment in case-control studies.

Day NE, Byar DP, Green SB.

Am J Epidemiol. 1980 Nov;112(5):696-706.

PMID:
7435495
11.

Ordinal regression models for epidemiologic data.

Armstrong BG, Sloan M.

Am J Epidemiol. 1989 Jan;129(1):191-204.

PMID:
2910061
12.

RETR_PWR: an SAS macro for retrospective statistical power analysis.

Hogarty KY, Kromrey JD.

Behav Res Methods Instrum Comput. 2003 Nov;35(4):585-9. Review.

PMID:
14748502
13.

Methods of covariate selection: directed acyclic graphs and the change-in-estimate procedure.

Weng HY, Hsueh YH, Messam LL, Hertz-Picciotto I.

Am J Epidemiol. 2009 May 15;169(10):1182-90. doi: 10.1093/aje/kwp035. Epub 2009 Apr 10.

14.

Likelihood methods for regression models with expensive variables missing by design.

Zhao Y, Lawless JF, McLeish DL.

Biom J. 2009 Feb;51(1):123-36. doi: 10.1002/bimj.200810487.

PMID:
19197954
15.

Bayesian analysis of crossclassified spatial data with autocorrelation.

Sun L, Clayton MK.

Biometrics. 2008 Mar;64(1):74-84. Epub 2007 Aug 3.

PMID:
17680834
16.

[Regression modeling strategies].

Núñez E, Steyerberg EW, Núñez J.

Rev Esp Cardiol. 2011 Jun;64(6):501-7. doi: 10.1016/j.recesp.2011.01.019. Epub 2011 Apr 29. Review. Spanish.

17.

Use of the logistic regression model for the analysis of proportionate mortality data.

Butler WJ, Park RM.

Am J Epidemiol. 1987 Mar;125(3):515-23.

PMID:
3812458
18.

Tests for interaction in epidemiologic studies: a review and a study of power.

Greenland S.

Stat Med. 1983 Apr-Jun;2(2):243-51. Review.

PMID:
6359318
20.

A survey of variable selection methods in two Chinese epidemiology journals.

Liao H, Lynn HS.

BMC Med Res Methodol. 2010 Sep 29;10:87. doi: 10.1186/1471-2288-10-87.

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