Categorizing continuous variables resulted in different predictors in a prognostic model for nonspecific neck pain

J.M. Schellingerhout; M.W. Heijmans; H.C.W. de Vet; B.W. Koes; A.W. Verhagen

doi:10.1016/j.jclinepi.2008.10.010

Categorizing continuous variables resulted in different predictors in a prognostic model for nonspecific neck pain

J.M. Schellingerhout
, M.W. Heijmans
, H.C.W. de Vet
, B.W. Koes
, A.W. Verhagen

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

OBJECTIVE: To evaluate whether different categorization strategies for introducing continuous variables in multivariable logistic regression analysis results in prognostic models that differ in content and performance. STUDY DESIGN AND SETTING: Backward multivariable logistic regression (P

Original language	Undefined/Unknown
Pages (from-to)	868-874
Journal	Journal of clinical epidemiology
Volume	62
Issue number	8
DOIs	https://doi.org/10.1016/j.jclinepi.2008.10.010
Publication status	Published - 2009

Access to Document

10.1016/j.jclinepi.2008.10.010

Cite this

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title = "Categorizing continuous variables resulted in different predictors in a prognostic model for nonspecific neck pain",

abstract = "OBJECTIVE: To evaluate whether different categorization strategies for introducing continuous variables in multivariable logistic regression analysis results in prognostic models that differ in content and performance. STUDY DESIGN AND SETTING: Backward multivariable logistic regression (P",

author = "J.M. Schellingerhout and M.W. Heijmans and \{de Vet\}, H.C.W. and B.W. Koes and A.W. Verhagen",

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AU - Schellingerhout, J.M.

AU - Heijmans, M.W.

AU - de Vet, H.C.W.

AU - Koes, B.W.

AU - Verhagen, A.W.

PY - 2009

Y1 - 2009

N2 - OBJECTIVE: To evaluate whether different categorization strategies for introducing continuous variables in multivariable logistic regression analysis results in prognostic models that differ in content and performance. STUDY DESIGN AND SETTING: Backward multivariable logistic regression (P

AB - OBJECTIVE: To evaluate whether different categorization strategies for introducing continuous variables in multivariable logistic regression analysis results in prognostic models that differ in content and performance. STUDY DESIGN AND SETTING: Backward multivariable logistic regression (P

U2 - 10.1016/j.jclinepi.2008.10.010

DO - 10.1016/j.jclinepi.2008.10.010

M3 - Article

C2 - 19230604

SN - 0895-4356

VL - 62

SP - 868

EP - 874

JO - Journal of clinical epidemiology

JF - Journal of clinical epidemiology

IS - 8

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