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Statistical Methods in Medical Research|January 18, 2018
Estimation of the volume under the receiver-operating characteristic surface adjusting for non-ignorable verification biasYing Zhang, Todd A Alonzo,
Statistical Methods in Medical Research|November 20, 2020
Unifying instrumental variable and inverse probability weighting approaches for inference of causal treatment effect and unmeasured confounding in observational studiesTao Liu, Joseph W Hogan
Statistical Methods in Medical Research|November 27, 2020
Bayesian adaptive decision-theoretic designs for multi-arm multi-stage clinical trialsAndrea Bassi, Johannes Berkhof, Daphne de Jong, et al.
Statistical Methods in Medical Research|November 10, 2020
Selecting the number of categories of the lymph node ratio in cancer research: A bootstrap-based hypothesis testIrantzu Barrio, Javier Roca-Pardiñas, Inmaculada Arostegui
Statistical Methods in Medical Research|September 21, 2020
Efficient two-stage sequential arrays of proof of concept studies for pharmaceutical portfoliosLinchen He, Linqiu Du, Zoran Antonijevic, et al.
Statistical Methods in Medical Research|September 10, 2020
Estimating model-based nonnegative population marginal means in application to medical expenditures covered by different health care policies - A study on Medical Expenditure Panel SurveyMingmei Tian, Jihnhee Yu
Statistical Methods in Medical Research|November 21, 2019
Sampling-based Markov regression model for multistate disease progression: Applications to population-based cancer screening programChen-Yang Hsu, Wen-Feng Hsu, Amy Ming-Fang Yen, et al.
Statistical Methods in Medical Research|March 6, 2020
MultiBaC: A strategy to remove batch effects between different omic data typesManuel Ugidos, Sonia Tarazona, José M Prats-Montalbán, et al.
Statistical Methods in Medical Research|March 18, 2020
Quantile regression for incomplete longitudinal data with selection by deathHélène Jacqmin-Gadda, Anaïs Rouanet, Robert D Mba, et al.
Statistical Methods in Medical Research|March 18, 2020
Outlier robust modeling of survival curves in the presence of potentially time-varying coefficientsJorne Lionel Biccler, Martin Bøgsted, Stefan Van Aelst, et al.
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