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Statistical Methods in Medical Research|September 18, 2014
Jackknife variance of the partial area under the empirical receiver operating characteristic curveAndriy I Bandos, Ben Guo, David Gur
Statistical Methods in Medical Research|October 12, 2014
Number of imputations needed to stabilize estimated treatment difference in longitudinal data analysisKaifeng Lu
Statistical Methods in Medical Research|December 19, 2013
Rasch-family models are more valuable than score-based approaches for analysing longitudinal patient-reported outcomes with missing dataÉlodie de Bock, Jean-Benoit Hardouin, Myriam Blanchin, et al.
Statistical Methods in Medical Research|June 1, 2013
Multiple-stage sampling procedure for covariate-adjusted response-adaptive designsEunsik Park, Yuan-Chin Ivan Chang
Statistical Methods in Medical Research|May 24, 2013
Predictions in an illness-death modelCélia Touraine, Catherine Helmer, Pierre Joly
Statistical Methods in Medical Research|June 28, 2013
Addressing missing covariates for the regression analysis of competing risks: Prognostic modelling for triaging patients diagnosed with prostate cancerGabriel Escarela, Juan Ruiz-de-Chavez, Alberto Castillo-Morales
Statistical Methods in Medical Research|June 28, 2013
On analyzing ordinal data when responses and covariates are both missing at randomSubrata Rana, Surupa Roy, Kalyan Das
Statistical Methods in Medical Research|November 9, 2013
Propensity score estimators for the average treatment effect and the average treatment effect on the treated may yield very different estimatesR Pirracchio, M Carone, M Resche Rigon, et al.
Statistical Methods in Medical Research|November 9, 2013
A corrected formulation for marginal inference derived from two-part mixed models for longitudinal semi-continuous dataBrian Dm Tom, Li Su, Vernon T Farewell
Statistical Methods in Medical Research|August 3, 2013
Advanced colorectal neoplasia risk stratification by penalized logistic regressionYunzhi Lin, Menggang Yu, Sijian Wang, et al.
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