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Bayesian Design in Clinical Trials
| Bayesian Design in Clinical Trials |
| Autore | Berchialla Paola |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (190 p.) |
| Soggetto topico |
Humanities
Social interaction |
| Soggetto non controllato |
dose-escalation
combination study modelling assumption interaction adaptive designs adaptive randomization Bayesian designs clinical trials predictive power target allocation Bayesian inference highest posterior density intervals normal approximation predictive analysis sample size determination bayesian meta-analysis clustering binary data priors frequentist validation Bayesian rare disease prior distribution meta-analysis sample size bridging studies distribution distance oncology phase I dose-finding dose–response bayesian inference prior elicitation latent dirichlet allocation clinical trial power-prior poor accrual Bayesian trial cisplatin doxorubicin oxaliplatin dose escalation PIPAC peritoneal carcinomatosis randomized controlled trial causal inference doubly robust estimation propensity score Bayesian monitoring futility rules interim analysis posterior and predictive probabilities stopping boundaries Bayesian trial design early phase dose finding treatment combinations optimal dose combination |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557608103321 |
Berchialla Paola
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep Learning in Medical Image Analysis
| Deep Learning in Medical Image Analysis |
| Autore | Zhang Yudong |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (458 p.) |
| Soggetto non controllato |
interpretable/explainable machine learning
image classification image processing machine learning models white box black box cancer prediction deep learning multimodal learning convolutional neural networks autism fMRI texture analysis melanoma glcm matrix machine learning classifiers explainability explainable AI XAI medical imaging diagnosis ARMD change detection unsupervised learning microwave breast imaging image reconstruction tumor detection digital pathology whole slide image processing multiple instance learning deep learning classification HER2 medical images transfer learning optimizers neo-adjuvant treatment tumour cellularity cancer breast cancer diagnostics imaging computation artificial intelligence 3D segmentation active surface discriminant analysis PET imaging medical image analysis brain tumor cervical cancer colon cancer lung cancer computer vision musculoskeletal images lung disease detection taxonomy convolutional neural network CycleGAN data augmentation dermoscopic images domain transfer macroscopic images skin lesion segmentation infection detection COVID-19 X-ray images bayesian inference shifted-scaled dirichlet distribution MCMC gibbs sampling object detection surgical tools open surgery egocentric camera computers in medicine segmentation MRI ECG signal detection portable monitoring devices 1D-convolutional neural network medical image segmentation domain adaptation meta-learning U-Net computed tomography (CT) magnetic resonance imaging (MRI) low-dose sparse-angle quantitative comparison |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557435103321 |
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Zhang Yudong
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields
| Markov and Semi-markov Chains, Processes, Systems and Emerging Related Fields |
| Autore | Vassiliou Panagiotis-Christos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (294 p.) |
| Soggetto topico |
Research & information: general
Mathematics & science |
| Soggetto non controllato |
Monte Carlo
MCMC Markov chains computational statistics bayesian inference Non-Homogeneous Markov Systems Markov Set Systems limiting set tail expectation asymptotic bound quasi-asymptotic independence heavy-tailed distribution dominated variation copula branching process migration continuous time generating function period-life reliability redundant systems preventive maintenance multiple vacations process mining process modelling phase-type models process target compliance particle filter missing data single imputation impoverishment Markov Systems open population Markov chain models Semi-Markov processes controllable Markov jump processes compound Poisson processes diffusion limits stochastic control problem with incomplete information novel queuing models in applications semi-Markov model Markov model hybrid semi-Markov model manpower planning semi-Markov modeling occupancy first passage time duration non-homogeneity DNA sequences state space model Kalman filter constrained optimization two-sided components basketball Markov chain second order off-ball screens performance semi-Markov transient analysis asymptotic analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557364203321 |
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Vassiliou Panagiotis-Christos
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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