Effectively Selecting a Target Population for a Future Comparative Study
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Publication:5327282
DOI10.1080/01621459.2013.770705OpenAlexW2039414656WikidataQ37177888 ScholiaQ37177888MaRDI QIDQ5327282
Tianxi Cai, L. Tian, Lihui Zhao, Brian Claggett, L. J. Wei
Publication date: 7 August 2013
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://biostats.bepress.com/cgi/viewcontent.cgi?article=1141&context=harvardbiostat
predictionsubgroup analysispersonalized medicineLasso procedureRidge regressionstratified medicinecross-training-evaluationvariable selction
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Cites Work
- Unnamed Item
- Unnamed Item
- Regression analysis of restricted mean survival time based on pseudo-observations
- Evaluating Markers for Selecting a Patient's Treatment
- Estimation of the average hazard ratio
- Estimating average regression effect under non-proportional hazards
- Patterns of treatment effects in subsets of patients in clinical trials
- Quantifying and comparing the predictive accuracy of continuous prognostic factors for binary outcomes
- Computation of the logarithm of Bessel functions of complex argument
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