Modeling continuous health risk factors by using fractional polynomials transformation

Dalin Zeng; Youquan Xu; Xiancun Hu

Modeling continuous health risk factors by using fractional polynomials transformation

Dalin Zeng, Youquan Xu, Xiancun Hu

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

Abstract

heterogeneous patient background that information is limited to researchers. Thus forms a curvature, sometimes in complicate shape, on the continuous predictive variables in fitting models. Fractional Polynomials (FP) transformation provide a flexible model fitting framework account such curvature. In this paper we assess the utilization of FP model fitting framework in health risk factor assessment.

Original language	English
Pages (from-to)	292-297
Number of pages	6
Journal	BioTechnology: An Indian Journal
Volume	8
Issue number	3
Publication status	Published - 1 Dec 2013
Externally published	Yes

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This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

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title = "Modeling continuous health risk factors by using fractional polynomials transformation",

abstract = "heterogeneous patient background that information is limited to researchers. Thus forms a curvature, sometimes in complicate shape, on the continuous predictive variables in fitting models. Fractional Polynomials (FP) transformation provide a flexible model fitting framework account such curvature. In this paper we assess the utilization of FP model fitting framework in health risk factor assessment.",

keywords = "Factors, Fractional polynomials, Health risk, Transformation",

author = "Dalin Zeng and Youquan Xu and Xiancun Hu",

year = "2013",

month = dec,

day = "1",

language = "English",

volume = "8",

pages = "292--297",

journal = "BioTechnology: An Indian Journal",

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TY - JOUR

T1 - Modeling continuous health risk factors by using fractional polynomials transformation

AU - Zeng, Dalin

AU - Xu, Youquan

AU - Hu, Xiancun

PY - 2013/12/1

Y1 - 2013/12/1

N2 - heterogeneous patient background that information is limited to researchers. Thus forms a curvature, sometimes in complicate shape, on the continuous predictive variables in fitting models. Fractional Polynomials (FP) transformation provide a flexible model fitting framework account such curvature. In this paper we assess the utilization of FP model fitting framework in health risk factor assessment.

AB - heterogeneous patient background that information is limited to researchers. Thus forms a curvature, sometimes in complicate shape, on the continuous predictive variables in fitting models. Fractional Polynomials (FP) transformation provide a flexible model fitting framework account such curvature. In this paper we assess the utilization of FP model fitting framework in health risk factor assessment.

KW - Factors

KW - Fractional polynomials

KW - Health risk

KW - Transformation

UR - http://www.scopus.com/inward/record.url?scp=84897844921&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:84897844921

SN - 0974-7435

VL - 8

SP - 292

EP - 297

JO - BioTechnology: An Indian Journal

JF - BioTechnology: An Indian Journal

IS - 3

ER -

Modeling continuous health risk factors by using fractional polynomials transformation

Abstract

UN SDGs

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