Explained variation and predictive accuracy in general parametric statistical models: the role of model misspecification

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Standard

Explained variation and predictive accuracy in general parametric statistical models: the role of model misspecification. / Rosthøj, Susanne; Keiding, Niels.

I: Lifetime Data Analysis, Bind 10, Nr. 4, 2004, s. 461-72.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Rosthøj, S & Keiding, N 2004, 'Explained variation and predictive accuracy in general parametric statistical models: the role of model misspecification', Lifetime Data Analysis, bind 10, nr. 4, s. 461-72.

APA

Rosthøj, S., & Keiding, N. (2004). Explained variation and predictive accuracy in general parametric statistical models: the role of model misspecification. Lifetime Data Analysis, 10(4), 461-72.

Vancouver

Rosthøj S, Keiding N. Explained variation and predictive accuracy in general parametric statistical models: the role of model misspecification. Lifetime Data Analysis. 2004;10(4):461-72.

Author

Rosthøj, Susanne ; Keiding, Niels. / Explained variation and predictive accuracy in general parametric statistical models: the role of model misspecification. I: Lifetime Data Analysis. 2004 ; Bind 10, Nr. 4. s. 461-72.

Bibtex

@article{6699d3009e2111debc73000ea68e967b,
title = "Explained variation and predictive accuracy in general parametric statistical models: the role of model misspecification",
abstract = "When studying a regression model measures of explained variation are used to assess the degree to which the covariates determine the outcome of interest. Measures of predictive accuracy are used to assess the accuracy of the predictions based on the covariates and the regression model. We give a detailed and general introduction to the two measures and the estimation procedures. The framework we set up allows for a study of the effect of misspecification on the quantities estimated. We also introduce a generalization to survival analysis.",
author = "Susanne Rosth{\o}j and Niels Keiding",
note = "Keywords: Female; Humans; Male; Models, Statistical; Predictive Value of Tests; Regression Analysis; Sensitivity and Specificity; Survival Analysis",
year = "2004",
language = "English",
volume = "10",
pages = "461--72",
journal = "Lifetime Data Analysis",
issn = "1380-7870",
publisher = "Springer",
number = "4",

}

RIS

TY - JOUR

T1 - Explained variation and predictive accuracy in general parametric statistical models: the role of model misspecification

AU - Rosthøj, Susanne

AU - Keiding, Niels

N1 - Keywords: Female; Humans; Male; Models, Statistical; Predictive Value of Tests; Regression Analysis; Sensitivity and Specificity; Survival Analysis

PY - 2004

Y1 - 2004

N2 - When studying a regression model measures of explained variation are used to assess the degree to which the covariates determine the outcome of interest. Measures of predictive accuracy are used to assess the accuracy of the predictions based on the covariates and the regression model. We give a detailed and general introduction to the two measures and the estimation procedures. The framework we set up allows for a study of the effect of misspecification on the quantities estimated. We also introduce a generalization to survival analysis.

AB - When studying a regression model measures of explained variation are used to assess the degree to which the covariates determine the outcome of interest. Measures of predictive accuracy are used to assess the accuracy of the predictions based on the covariates and the regression model. We give a detailed and general introduction to the two measures and the estimation procedures. The framework we set up allows for a study of the effect of misspecification on the quantities estimated. We also introduce a generalization to survival analysis.

M3 - Journal article

C2 - 15690996

VL - 10

SP - 461

EP - 472

JO - Lifetime Data Analysis

JF - Lifetime Data Analysis

SN - 1380-7870

IS - 4

ER -

ID: 14336115