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Items: 1 to 20 of 103

1.

Estimation and selection of complex covariate effects in pooled nested case-control studies with heterogeneity.

Liu M, Lu W, Krogh V, Hallmans G, Clendenen TV, Zeleniuch-Jacquotte A.

Biostatistics. 2013 Sep;14(4):682-94. doi: 10.1093/biostatistics/kxt015. Epub 2013 Apr 30.

2.

Identification of homogeneous and heterogeneous variables in pooled cohort studies.

Cheng X, Lu W, Liu M.

Biometrics. 2015 Jun;71(2):397-403. doi: 10.1111/biom.12285. Epub 2015 Mar 2.

3.

Cox regression model with time-varying coefficients in nested case-control studies.

Liu M, Lu W, Shore RE, Zeleniuch-Jacquotte A.

Biostatistics. 2010 Oct;11(4):693-706. doi: 10.1093/biostatistics/kxq037. Epub 2010 Jun 3.

4.

Variable selection in the cox regression model with covariates missing at random.

Garcia RI, Ibrahim JG, Zhu H.

Biometrics. 2010 Mar;66(1):97-104. doi: 10.1111/j.1541-0420.2009.01274.x. Epub 2009 May 18.

5.

Maximum likelihood estimation for Cox's regression model under nested case-control sampling.

Scheike TH, Juul A.

Biostatistics. 2004 Apr;5(2):193-206.

PMID:
15054025
6.

Part 1. Statistical Learning Methods for the Effects of Multiple Air Pollution Constituents.

Coull BA, Bobb JF, Wellenius GA, Kioumourtzoglou MA, Mittleman MA, Koutrakis P, Godleski JJ.

Res Rep Health Eff Inst. 2015 Jun;(183 Pt 1-2):5-50.

PMID:
26333238
7.

L1 penalized estimation in the Cox proportional hazards model.

Goeman JJ.

Biom J. 2010 Feb;52(1):70-84. doi: 10.1002/bimj.200900028.

PMID:
19937997
8.
9.

Shrinkage Estimation of Varying Covariate Effects Based On Quantile Regression.

Peng L, Xu J, Kutner N.

Stat Comput. 2014 Sep 1;24(5):853-869.

10.

Cox regression in nested case-control studies with auxiliary covariates.

Liu M, Lu W, Tseng CH.

Biometrics. 2010 Jun;66(2):374-81. doi: 10.1111/j.1541-0420.2009.01277.x. Epub 2009 Jun 8.

11.
12.

A Simple Method for Deriving the Confidence Regions for the Penalized Cox's Model via the Minimand Perturbation.

Lin CY, Halabi S.

Commun Stat Theory Methods. 2017;46(10):4791-4808. doi: 10.1080/03610926.2015.1085568. Epub 2016 May 18.

13.

Semiparametric estimation of marginal hazard function from case-control family studies.

Hsu L, Chen L, Gorfine M, Malone K.

Biometrics. 2004 Dec;60(4):936-44.

PMID:
15606414
14.

Using cumulative sums of martingale residuals for model checking in nested case-control studies.

Borgan Ø, Zhang Y.

Biometrics. 2015 Sep;71(3):696-703. doi: 10.1111/biom.12308. Epub 2015 Apr 8.

PMID:
25854648
15.

Variable selection in semiparametric cure models based on penalized likelihood, with application to breast cancer clinical trials.

Liu X, Peng Y, Tu D, Liang H.

Stat Med. 2012 Oct 30;31(24):2882-91. doi: 10.1002/sim.5378. Epub 2012 Jun 26.

PMID:
22733695
16.

High-dimensional Cox models: the choice of penalty as part of the model building process.

Benner A, Zucknick M, Hielscher T, Ittrich C, Mansmann U.

Biom J. 2010 Feb;52(1):50-69. doi: 10.1002/bimj.200900064.

PMID:
20166132
17.

Combining data from 2 nested case-control studies of overlapping cohorts to improve efficiency.

Salim A, Hultman C, Sparén P, Reilly M.

Biostatistics. 2009 Jan;10(1):70-9. doi: 10.1093/biostatistics/kxn016. Epub 2008 Jun 10.

PMID:
18550564
18.

Efficient estimation for accelerated failure time model under case-cohort and nested case-control sampling.

Kang S, Lu W, Liu M.

Biometrics. 2017 Mar;73(1):114-123. doi: 10.1111/biom.12573. Epub 2016 Aug 1.

19.
20.

Testing goodness-of-fit for the proportional hazards model based on nested case-control data.

Lu W, Liu M, Chen YH.

Biometrics. 2014 Dec;70(4):845-51. doi: 10.1111/biom.12239. Epub 2014 Oct 8.

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