Biases Introduced by Choosing Controls to Match Risk Factors of Cases in Biomarker Research | Zendy

Margaret S. Pepe | Zendy; Jing Fan | Zendy; Christopher Seymour | Zendy; Christopher Li | Zendy; Ying Huang | Zendy; Ziding Feng | Zendy

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Biases Introduced by Choosing Controls to Match Risk Factors of Cases in Biomarker Research

Author(s) -

Margaret S. Pepe,

Jing Fan,

Christopher Seymour,

Christopher Li,

Ying Huang,

Ziding Feng

Publication year - 2012

Publication title -

clinical chemistry

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.705

H-Index - 218

eISSN - 1530-8561

pISSN - 0009-9147

DOI - 10.1373/clinchem.2012.186007

Subject(s) - biomarker , matching (statistics) , statistics , population , ranking (information retrieval) , computer science , bivariate analysis , econometrics , medicine , artificial intelligence , mathematics , biology , environmental health , biochemistry

Selecting controls that match cases on risk factors for the outcome is a pervasive practice in biomarker research studies. Such matching, however, biases estimates of biomarker prediction performance. The magnitudes of these biases are unknown.

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