Correcting classifiers for sample selection bias in two-phase case-control studies

DOI10.1155/2017/7847531zbMath1398.92012OpenAlexW2757523618WikidataQ47193912 ScholiaQ47193912MaRDI QIDQ1784139

Norbert Krautenbacher, Fabian J. Theis, Christiane Fuchs

Publication date: 26 September 2018

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/7847531

zbMATH Keywords

epidemiologyclassifierssample selection biastwo-phase case-control studies

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15) Sampling theory, sample surveys (62D05)

Related Items (2)

Performance of prior and weighting bias correction methods for rare event logistic regression under the influence of sampling bias ⋮ sambia

Uses Software

• R
• ROCR
• e1071
• Survey
• pROC
• ranger
• OpenML
• smotefamily
• SMOTE

Cites Work

• Unnamed Item
• Bagging predictors
• Secondary analysis under cohort sampling designs using conditional likelihood
• Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach
• Using Sample Survey Weights in Multiple Regression Analyses of Stratified Samples
• Two-Stage Designs for Gene-Disease Association Studies with Sample Size Constraints
• Sample Selection Bias Correction Theory
• Sample Selection Bias as a Specification Error
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• A Generalization of Sampling Without Replacement From a Finite Universe
• Regression. Models, methods and applications.
• The elements of statistical learning. Data mining, inference, and prediction
• Random forests

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