Works matching IS 02776715 AND DT 2015 AND VI 34 AND IP 8
Results: 13
A product of independent beta probabilities dose escalation design for dual-agent phase I trials.
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- Statistics in Medicine, 2015, v. 34, n. 8, p. 1261, doi. 10.1002/sim.6434
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Correction.
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- Statistics in Medicine, 2015, v. 34, n. 8, p. 1440, doi. 10.1002/sim.6437
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A Dirichlet process mixture model for survival outcome data: assessing nationwide kidney transplant centers.
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- Statistics in Medicine, 2015, v. 34, n. 8, p. 1404, doi. 10.1002/sim.6438
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Adjusting for time-dependent sensitivity in an illness-death model, with application to mother-to-child transmission of HIV.
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- Statistics in Medicine, 2015, v. 34, n. 8, p. 1277, doi. 10.1002/sim.6402
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Estimation of ROC curve with complex survey data.
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- Statistics in Medicine, 2015, v. 34, n. 8, p. 1293, doi. 10.1002/sim.6405
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Outlier robust nonlinear mixed model estimation.
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- Statistics in Medicine, 2015, v. 34, n. 8, p. 1304, doi. 10.1002/sim.6406
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Adaptive seamless designs with interim treatment selection: a case study in oncology.
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- Statistics in Medicine, 2015, v. 34, n. 8, p. 1317, doi. 10.1002/sim.6407
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Evaluating hospital performance based on excess cause-specific incidence.
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- Statistics in Medicine, 2015, v. 34, n. 8, p. 1334, doi. 10.1002/sim.6409
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Sensitivity of regression calibration to non-perfect validation data with application to the Norwegian Women and Cancer Study.
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- Statistics in Medicine, 2015, v. 34, n. 8, p. 1389, doi. 10.1002/sim.6420
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Comments on 'A cautionary note concerning the use of stabilized weights in marginal structural models' by D. Talbot, J. Atherton, A. M. Rossi, S. L. Bacon, and G. Lefebvre.
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- Statistics in Medicine, 2015, v. 34, n. 8, p. 1438, doi. 10.1002/sim.6422
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A multivariate Bayesian model for embryonic growth.
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- Statistics in Medicine, 2015, v. 34, n. 8, p. 1351, doi. 10.1002/sim.6411
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Correcting for bias in the selection and validation of informative diagnostic tests.
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- Statistics in Medicine, 2015, v. 34, n. 8, p. 1417, doi. 10.1002/sim.6413
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A power series beta Weibull regression model for predicting breast carcinoma.
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- Statistics in Medicine, 2015, v. 34, n. 8, p. 1366, doi. 10.1002/sim.6416
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- Article