Works matching IS 03233847 AND DT 2020 AND VI 62 AND IP 3
Results: 30
Cover Picture: Biometrical Journal 3'20.
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- Biometrical Journal, 2020, v. 62, n. 3, p. NA, doi. 10.1002/bimj.202070041
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- Article
Statistical models for complex data in clinical and epidemiological research.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 528, doi. 10.1002/bimj.202000079
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Comparison of complex modeling strategies for prediction of a binary outcome based on a few, highly correlated predictors.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 568, doi. 10.1002/bimj.201800243
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IV estimation without distributional assumptions.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 688, doi. 10.1002/bimj.201800277
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Estimating the distribution of heterogeneous treatment effects from treatment responses and from a predictive biomarker in a parallel‐group RCT: A structural model approach.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 697, doi. 10.1002/bimj.201800370
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On the relation between the cause‐specific hazard and the subdistribution rate for competing risks data: The Fine–Gray model revisited.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 790, doi. 10.1002/bimj.201800274
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Construction and assessment of prediction rules for binary outcome in the presence of missing predictor data using multiple imputation and cross‐validation: Methodological approach and data‐based evaluation.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 724, doi. 10.1002/bimj.201800289
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On the estimation of average treatment effects with right‐censored time to event outcome and competing risks.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 751, doi. 10.1002/bimj.201800298
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Automatic variable selection for exposure‐driven propensity score matching with unmeasured confounders.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 868, doi. 10.1002/bimj.201800190
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Nonparametric estimation of the cumulative incidences of competing risks under double truncation.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 852, doi. 10.1002/bimj.201800323
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Meta‐analysis of clinical trials with competing time‐to‐event endpoints.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 712, doi. 10.1002/bimj.201900103
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Quantitative assessment of adverse events in clinical trials: Comparison of methods at an interim and the final analysis.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 658, doi. 10.1002/bimj.201800234
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On the use of comparison regions in visualizing stochastic uncertainty in some two‐parameter estimation problems.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 598, doi. 10.1002/bimj.201800232
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Adjustment for exploratory cut‐off selection in randomized clinical trials with survival endpoint.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 627, doi. 10.1002/bimj.201800302
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Integrated evaluation of targeted and non‐targeted therapies in a network meta‐analysis.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 777, doi. 10.1002/bimj.201800322
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Modeling the hazard of transition into the absorbing state in the illness‐death model.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 836, doi. 10.1002/bimj.201800267
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Marginal variable screening for survival endpoints.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 610, doi. 10.1002/bimj.201800269
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Estimating the decision curve and its precision from three study designs.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 764, doi. 10.1002/bimj.201800240
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Validation of discrete time‐to‐event prediction models in the presence of competing risks.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 643, doi. 10.1002/bimj.201800293
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A multistate model for early decision‐making in oncology.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 550, doi. 10.1002/bimj.201800250
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The population‐attributable fraction for time‐dependent exposures using dynamic prediction and landmarking.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 583, doi. 10.1002/bimj.201800252
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Contents: Biometrical Journal 3'20.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 525, doi. 10.1002/bimj.202070034
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Masthead: Biometrical Journal 3'20.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 524, doi. 10.1002/bimj.202070033
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- Article
Editorial Board: Biometrical Journal 3'20.
- Published in:
- Biometrical Journal, 2020, v. 62, n. 3, p. 523, doi. 10.1002/bimj.202070032
- Publication type:
- Article
Cover Picture: Biometrical Journal 3'20.
- Published in:
- Biometrical Journal, 2020, v. 62, n. 3, p. NA, doi. 10.1002/bimj.202070041
- Publication type:
- Article
Sampling uncertainty versus method uncertainty: A general framework with applications to omics biomarker selection.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 670, doi. 10.1002/bimj.201800309
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Network meta‐analysis of multicomponent interventions.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 808, doi. 10.1002/bimj.201800167
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Dynamic prediction: A challenge for biostatisticians, but greatly needed by patients, physicians and the public.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 822, doi. 10.1002/bimj.201800248
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Time‐dependent mediators in survival analysis: Modeling direct and indirect effects with the additive hazards model.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 532, doi. 10.1002/bimj.201800263
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On the interpretation of the hazard ratio in Cox regression.
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- Biometrical Journal, 2020, v. 62, n. 3, p. 742, doi. 10.1002/bimj.201800255
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