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Variable Selection by sNML Criterion in Logistic Regression with an Application to a Risk-Adjustment Model for Hip Fracture Mortality

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Variable Selection by sNML Criterion in Logistic Regression with an Application to a Risk-Adjustment Model for Hip Fracture Mortality. / Liski, Antti; Tabus, Ioan; Sund, R.; Häkkinen, Unto.

In: Journal of Data Science, Vol. 10, No. 2, 2012, p. 321-343.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Liski, A, Tabus, I, Sund, R & Häkkinen, U 2012, 'Variable Selection by sNML Criterion in Logistic Regression with an Application to a Risk-Adjustment Model for Hip Fracture Mortality', Journal of Data Science, vol. 10, no. 2, pp. 321-343.

APA

Vancouver

Author

Liski, Antti ; Tabus, Ioan ; Sund, R. ; Häkkinen, Unto. / Variable Selection by sNML Criterion in Logistic Regression with an Application to a Risk-Adjustment Model for Hip Fracture Mortality. In: Journal of Data Science. 2012 ; Vol. 10, No. 2. pp. 321-343.

Bibtex - Download

@article{99bf74bb474445af9d28bbebb5ccb1d5,
title = "Variable Selection by sNML Criterion in Logistic Regression with an Application to a Risk-Adjustment Model for Hip Fracture Mortality",
author = "Antti Liski and Ioan Tabus and R. Sund and Unto H{\"a}kkinen",
note = "ei ut-numeroa 21.8.2013<br/>Contribution: organisation=sgn,FACT1=1<br/>Publisher name: Columbia University Department of Statistics",
year = "2012",
language = "English",
volume = "10",
pages = "321--343",
journal = "Journal of Data Science",
issn = "1680-743X",
number = "2",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Variable Selection by sNML Criterion in Logistic Regression with an Application to a Risk-Adjustment Model for Hip Fracture Mortality

AU - Liski, Antti

AU - Tabus, Ioan

AU - Sund, R.

AU - Häkkinen, Unto

N1 - ei ut-numeroa 21.8.2013<br/>Contribution: organisation=sgn,FACT1=1<br/>Publisher name: Columbia University Department of Statistics

PY - 2012

Y1 - 2012

M3 - Article

VL - 10

SP - 321

EP - 343

JO - Journal of Data Science

JF - Journal of Data Science

SN - 1680-743X

IS - 2

ER -