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Items: 1 to 20 of 88

1.

Comments on 'Performance of using multiple stepwise algorithms for variable selection' by Ryan E. Wiegand, Statistics in Medicine 2010; 29:1647-1659.

Sauerbrei W, Royston P, Schumacher M.

Stat Med. 2011 Apr 15;30(8):892-4; author reply 894-5. doi: 10.1002/sim.4083. No abstract available.

PMID:
21432884
2.

Performance of using multiple stepwise algorithms for variable selection.

Wiegand RE.

Stat Med. 2010 Jul 10;29(15):1647-59. doi: 10.1002/sim.3943.

PMID:
20552568
3.

Adaptive regression splines in the Cox model.

LeBlanc M, Crowley J.

Biometrics. 1999 Mar;55(1):204-13.

PMID:
11318156
4.

Adaptive risk group refinement.

LeBlanc M, Moon J, Crowley J.

Biometrics. 2005 Jun;61(2):370-8.

PMID:
16011683
5.

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
6.

Comments on 'Empirical vs natural weighting in random effects meta-analysis' by JJ Shuster, Statistics in Medicine 2009; 26, Published online, DOI: 10.1002/sim.3607.

Rücker G, Schwarzer G, Carpenter J, Schumacher M.

Stat Med. 2010 Dec 10;29(28):2963-5; author reply 2965-6. doi: 10.1002/sim.3957. No abstract available.

PMID:
21104939
7.

Estimation of prediction error for survival models.

Lawless JF, Yuan Y.

Stat Med. 2010 Jan 30;29(2):262-74. doi: 10.1002/sim.3758.

PMID:
19882678
9.

A stepwise variable selection procedure for nonlinear regression models.

Peduzzi PN, Hardy RJ, Holford TR.

Biometrics. 1980 Sep;36(3):511-6. No abstract available.

PMID:
7213912
10.

A comparison of multivariable mathematical methods for predicting survival--II. Statistical selection of prognostic variables.

Walter SD, Feinstein AR, Wells CK.

J Clin Epidemiol. 1990;43(4):349-59. No abstract available.

PMID:
2324776
11.

Why do we still use stepwise modelling in ecology and behaviour?

Whittingham MJ, Stephens PA, Bradbury RB, Freckleton RP.

J Anim Ecol. 2006 Sep;75(5):1182-9. Review.

PMID:
16922854
12.

Some approaches to the analysis of recurrent event data.

Clayton D.

Stat Methods Med Res. 1994;3(3):244-62.

PMID:
7820294
13.
14.

Many-to-one comparison after sample size reestimation for trials with multiple treatment arms and treatment selection.

Wang J.

J Biopharm Stat. 2010 Sep;20(5):927-40. doi: 10.1080/10543401003618959.

PMID:
20721782
15.

Relative risk trees for censored survival data.

LeBlanc M, Crowley J.

Biometrics. 1992 Jun;48(2):411-25.

PMID:
1637970
16.

Regression analysis of clustered interval-censored data with informative cluster size.

Kim YJ.

Stat Med. 2010 Dec 10;29(28):2956-62. doi: 10.1002/sim.4042.

PMID:
20799250
17.

Comments on 'Planning and analysis of three-arm non-inferiority trials with binary endpoints' by M. Kieser and T. Friede, Statistics in Medicine 2007; 26:253-273.

Li G.

Stat Med. 2011 Feb 10;30(3):298-9; author reply 300. doi: 10.1002/sim.4033. No abstract available.

PMID:
21213345
18.

Two-stage testing using selection schemes.

Sudbury A.

Stat Med. 2010 Sep 20;29(21):2194-9. doi: 10.1002/sim.3965.

PMID:
20812300
19.

The performance of multiple imputation for missing covariates relative to complete case analysis.

Horton NJ, White IR, Carpenter J.

Stat Med. 2010 May 30;29(12):1357; author reply 1358. doi: 10.1002/sim.3872. No abstract available.

PMID:
20499333
20.
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