Works matching IS 02776715 AND DT 2023 AND VI 42 AND IP 30
Results: 13
Win‐loss parameters for right‐censored event data, with application to recurrent events.
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- Statistics in Medicine, 2023, v. 42, n. 30, p. 5723, doi. 10.1002/sim.9937
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BEATS: Bayesian hybrid design with flexible sample size adaptation for time‐to‐event endpoints.
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- Statistics in Medicine, 2023, v. 42, n. 30, p. 5708, doi. 10.1002/sim.9936
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Designing a phase‐III time‐to‐event clinical trial using a modified sample size formula and Poisson‐Gamma model for subject accrual that accounts for the lag in site initiation using the PERT distribution.
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- Statistics in Medicine, 2023, v. 42, n. 30, p. 5694, doi. 10.1002/sim.9935
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Rank selection for non‐negative matrix factorization.
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- Statistics in Medicine, 2023, v. 42, n. 30, p. 5676, doi. 10.1002/sim.9934
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Sample size and predictive performance of machine learning methods with survival data: A simulation study.
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- Statistics in Medicine, 2023, v. 42, n. 30, p. 5657, doi. 10.1002/sim.9931
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Estimation of non‐monotonic transition rates in a semi‐Markov process with covariates adjustments and application to caregivers' stress data.
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- Statistics in Medicine, 2023, v. 42, n. 30, p. 5646, doi. 10.1002/sim.9930
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Simultaneous selection and incorporation of consistent external aggregate information.
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- Statistics in Medicine, 2023, v. 42, n. 30, p. 5630, doi. 10.1002/sim.9929
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Genome‐wide search algorithms for identifying dynamic gene co‐expression via Bayesian variable selection.
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- Statistics in Medicine, 2023, v. 42, n. 30, p. 5616, doi. 10.1002/sim.9928
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Semiparametric estimation and testing for panel count data with informative interval‐censored failure event.
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- Statistics in Medicine, 2023, v. 42, n. 30, p. 5596, doi. 10.1002/sim.9927
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On semiparametric accelerated failure time models with time‐varying covariates: A maximum penalised likelihood estimation.
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- Statistics in Medicine, 2023, v. 42, n. 30, p. 5577, doi. 10.1002/sim.9926
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A spatio‐temporal Dirichlet process mixture model for coronavirus disease‐19.
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- Statistics in Medicine, 2023, v. 42, n. 30, p. 5555, doi. 10.1002/sim.9925
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- Article
Unsupervised learning for medical data: A review of probabilistic factorization methods.
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- Statistics in Medicine, 2023, v. 42, n. 30, p. 5541, doi. 10.1002/sim.9924
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- Article
Issue Information.
- Published in:
- Statistics in Medicine, 2023, v. 42, n. 30, p. 1, doi. 10.1002/sim.9479
- Publication type:
- Article