Works matching IS 02776715 AND DT 2024 AND VI 43 AND IP 9
Results: 11
Doubly adaptive biased coin design to improve Bayesian clinical trials with time‐to‐event endpoints.
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- Statistics in Medicine, 2024, v. 43, n. 9, p. 1743, doi. 10.1002/sim.10047
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- Article
Issue Information.
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- Statistics in Medicine, 2024, v. 43, n. 9, p. 1, doi. 10.1002/sim.9780
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- Article
Martingale‐residual‐based greedy model averaging for high‐dimensional current status data.
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- Statistics in Medicine, 2024, v. 43, n. 9, p. 1726, doi. 10.1002/sim.10037
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Robust best linear weighted estimator with missing covariates in survival analysis.
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- Statistics in Medicine, 2024, v. 43, n. 9, p. 1790, doi. 10.1002/sim.10044
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Shape restricted additive hazards models: Monotone, unimodal, and U‐shape hazard functions.
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- Statistics in Medicine, 2024, v. 43, n. 9, p. 1671, doi. 10.1002/sim.10040
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- Article
Handling missing disease information due to death in diseases that need two visits to diagnose.
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- Statistics in Medicine, 2024, v. 43, n. 9, p. 1708, doi. 10.1002/sim.10038
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Estimation of trajectory of protective efficacy in infectious disease prevention trials using recurrent event times.
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- Statistics in Medicine, 2024, v. 43, n. 9, p. 1759, doi. 10.1002/sim.10049
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Statistical plasmode simulations–Potentials, challenges and recommendations.
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- Statistics in Medicine, 2024, v. 43, n. 9, p. 1804, doi. 10.1002/sim.10012
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Optimal ensemble construction for multistudy prediction with applications to mortality estimation.
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- Statistics in Medicine, 2024, v. 43, n. 9, p. 1774, doi. 10.1002/sim.10006
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Are the tests overpowered or underpowered? A unified solution to correctly specify type I errors in design of clinical trials for two sample proportions.
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- Statistics in Medicine, 2024, v. 43, n. 9, p. 1688, doi. 10.1002/sim.10005
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Parameter estimation and forecasting with quantified uncertainty for ordinary differential equation models using QuantDiffForecast: A MATLAB toolbox and tutorial.
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- Statistics in Medicine, 2024, v. 43, n. 9, p. 1826, doi. 10.1002/sim.10036
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- Article