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Items: 1 to 20 of 32

1.
2.
3.

Combining fractional polynomial model building with multiple imputation.

Morris TP, White IR, Carpenter JR, Stanworth SJ, Royston P.

Stat Med. 2015 Nov 10;34(25):3298-317. doi: 10.1002/sim.6553.

4.

Interaction of treatment with a continuous variable: simulation study of significance level for several methods of analysis.

Royston P, Sauerbrei W.

Stat Med. 2013 Sep 30;32(22):3788-803. doi: 10.1002/sim.5813.

PMID:
23580422
5.

A comparison of methods to adjust for continuous covariates in the analysis of randomised trials.

Kahan BC, Rushton H, Morris TP, Daniel RM.

BMC Med Res Methodol. 2016 Apr 11;16:42. doi: 10.1186/s12874-016-0141-3.

6.

Interaction of treatment with a continuous variable: simulation study of power for several methods of analysis.

Royston P, Sauerbrei W.

Stat Med. 2014 Nov 30;33(27):4695-708. doi: 10.1002/sim.6308.

PMID:
25244679
8.

Comparing Smoothing Techniques for Fitting the Nonlinear Effect of Covariate in Cox Models.

Roshani D, Ghaderi E.

Acta Inform Med. 2016 Feb;24(1):38-41. doi: 10.5455/aim.2016.24.38-41.

9.

Subsampling versus bootstrapping in resampling-based model selection for multivariable regression.

De Bin R, Janitza S, Sauerbrei W, Boulesteix AL.

Biometrics. 2016 Mar;72(1):272-80. doi: 10.1111/biom.12381.

PMID:
26288150
10.

The comparison of alternative smoothing methods for fitting non-linear exposure-response relationships with Cox models in a simulation study.

Govindarajulu US, Malloy EJ, Ganguli B, Spiegelman D, Eisen EA.

Int J Biostat. 2009 Jan 7;5(1):Article 2. doi: 10.2202/1557-4679.1104.

11.
12.

An introduction to multivariate adaptive regression splines.

Friedman JH, Roosen CB.

Stat Methods Med Res. 1995 Sep;4(3):197-217.

PMID:
8548103
13.

Modeling dose-dependent neural processing responses using mixed effects spline models: with application to a PET study of ethanol.

Guo Y, Bowman FD.

Neuroimage. 2008 Apr 1;40(2):698-711. doi: 10.1016/j.neuroimage.2007.09.074.

15.

Optimally weighted L(2) distance for functional data.

Chen H, Reiss PT, Tarpey T.

Biometrics. 2014 Sep;70(3):516-25. doi: 10.1111/biom.12161.

16.

Validation and comparison of geostatistical and spline models for spatial stream networks.

Rushworth AM, Peterson EE, Ver Hoef JM, Bowman AW.

Environmetrics. 2015 Aug;26(5):327-338.

17.

Modeling continuous covariates with a "spike" at zero: Bivariate approaches.

Jenkner C, Lorenz E, Becher H, Sauerbrei W.

Biom J. 2016 Jul;58(4):783-96. doi: 10.1002/bimj.201400112.

PMID:
27072783
19.

Purposeful selection of variables in logistic regression.

Bursac Z, Gauss CH, Williams DK, Hosmer DW.

Source Code Biol Med. 2008 Dec 16;3:17. doi: 10.1186/1751-0473-3-17.

20.

A Study of Effects of MultiCollinearity in the Multivariable Analysis.

Yoo W, Mayberry R, Bae S, Singh K, Peter He Q, Lillard JW Jr.

Int J Appl Sci Technol. 2014 Oct;4(5):9-19.

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