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Applying Quantitative Bias Analysis to Epidemiologic Data / Matthew P. Fox, Richard F. MacLehose, Timothy L. Lash
| Applying Quantitative Bias Analysis to Epidemiologic Data / Matthew P. Fox, Richard F. MacLehose, Timothy L. Lash |
| Autore | Fox, Matthew P. |
| Edizione | [2. rev. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xvi, 467 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Lash, Timothy L.
MacLehose, Richard F. |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92D30 - Epidemiology [MSC 2020] 62H20 - Measures of association (correlation, canonical correlation, etc.) [MSC 2020] |
| Soggetto non controllato |
Bayesian methods
Bias analysis Classification Confounding Epidemiology Information bias Master Patient Index Measurement bias Measurement error Misclassification Monte Carlo analysis Selection bias Sensitivity analysis |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274564 |
Fox, Matthew P.
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Applying Quantitative Bias Analysis to Epidemiologic Data / Matthew P. Fox, Richard F. MacLehose, Timothy L. Lash
| Applying Quantitative Bias Analysis to Epidemiologic Data / Matthew P. Fox, Richard F. MacLehose, Timothy L. Lash |
| Autore | Fox, Matthew P. |
| Edizione | [2. rev. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xvi, 467 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Lash, Timothy L.
MacLehose, Richard F. |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H20 - Measures of association (correlation, canonical correlation, etc.) [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92D30 - Epidemiology [MSC 2020] |
| Soggetto non controllato |
Bayesian methods
Bias analysis Classification Confounding Epidemiology Information bias Master Patient Index Measurement bias Measurement error Misclassification Monte Carlo analysis Selection bias Sensitivity analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274564 |
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Fox, Matthew P.
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayes Theory / J. A. Hartigan
| Bayes Theory / J. A. Hartigan |
| Autore | Hartigan, John A. |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1983 |
| Descrizione fisica | xii, 146 p. : ill. ; 24 cm |
| Soggetto non controllato |
Bayesian methods
Boundary Element Methods Conditional probability Finite Innovation Logic Objects Probability Probability axioms Probability distribution Proofs Shapes Similarity Techniques |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0268567 |
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Hartigan, John A.
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| New York, : Springer-Verlag, 1983 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayes Theory / J. A. Hartigan
| Bayes Theory / J. A. Hartigan |
| Autore | Hartigan, John A. |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1983 |
| Descrizione fisica | xii, 146 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62A01 - Foundations and philosophical topics in statistics [MSC 2020] 62C10 - Bayesian problems; characterization of Bayes procedures [MSC 2020] |
| Soggetto non controllato |
Bayesian methods
Boundary Element Methods Conditional probability Finite Innovation Logic Objects Probability Probability axioms Probability distribution Proofs Shapes Similarity Techniques |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00268567 |
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Hartigan, John A.
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| New York, : Springer-Verlag, 1983 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Compendium / Marcel van Oijen
| Bayesian Compendium / Marcel van Oijen |
| Autore | Oijen, Marcel van |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xiv, 204 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 62A01 - Foundations and philosophical topics in statistics [MSC 2020] |
| Soggetto non controllato |
Bayesian methods
Data Assimilation Goodness-of-Fit Graphical Modelling Linear modelling MSE-decomposition Multidimensionality Risk analysis Sampling from the posterior |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248744 |
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Oijen, Marcel van
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Bayesian Compendium / Marcel van Oijen
| Bayesian Compendium / Marcel van Oijen |
| Autore | Oijen, Marcel van |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xiv, 204 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62A01 - Foundations and philosophical topics in statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Bayesian methods
Data Assimilation Goodness-of-fit test Graphical Modelling Linear modelling MSE-decomposition Multidimensionality Risk analysis Sampling from the posterior |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00248744 |
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Oijen, Marcel van
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Chemical Master Equation for Large Biological Networks : State-space Expansion Methods Using AI / Don Kulasiri, Rahul Kosarwal
| Chemical Master Equation for Large Biological Networks : State-space Expansion Methods Using AI / Don Kulasiri, Rahul Kosarwal |
| Autore | Kulasiri, Don |
| Pubbl/distr/stampa | Singapore, : Springer, 2021 |
| Descrizione fisica | xviii, 217 p. : ill. ; 24 cm |
| Altri autori (Persone) | Kosarwal, Rahul |
| Soggetto topico |
60J28 - Applications of continuous-time Markov processes on discrete state spaces [MSC 2020]
68T07 - Artificial neural networks and deep learning [MSC 2020] 92-XX - Biology and other natural sciences [MSC 2020] 92C40 - Biochemistry, molecular biology [MSC 2020] 92C42 - Systems biology, networks [MSC 2020] 92C45 - Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) [MSC 2020] |
| Soggetto non controllato |
Artificial Intelligence
Bayesian methods Biochemical Networks Bionetworks Markov Processes Markov graphs Markov tree Model Building Modeling and integration Numerical simulations |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00283061 |
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Kulasiri, Don
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| Singapore, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Discrete tomography : foundations, algorithms, and applications / Gabor T. Herman, Attila Kuba editors
| Discrete tomography : foundations, algorithms, and applications / Gabor T. Herman, Attila Kuba editors |
| Pubbl/distr/stampa | Boston [etc.], : Birkhäuser, 1999 |
| Descrizione fisica | XXII, 479 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
92-XX - Biology and other natural sciences [MSC 2020] |
| Soggetto non controllato |
3-D torus
Bayesian methods Binary tomography Computer imaging Diffuse planar tomography Discrete images Electron Microscopy Image processing Image projections Multidimensional image processing Multidimensional images Nonbinary iterative algorithms Orthogonal projections Radiographic data Symbolic projections |
| ISBN | 08-17-64101-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00044478 |
| Boston [etc.], : Birkhäuser, 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Discrete tomography : foundations, algorithms, and applications / Gabor T. Herman, Attila Kuba editors
| Discrete tomography : foundations, algorithms, and applications / Gabor T. Herman, Attila Kuba editors |
| Pubbl/distr/stampa | New York, : Springer ; Boston, : Birkhäuser, 1999 |
| Descrizione fisica | xxii, 479 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
92-XX - Biology and other natural sciences [MSC 2020] |
| Soggetto non controllato |
3-D torus
Bayesian methods Binary tomography Computer imaging Diffuse planar tomography Discrete images Electron Microscopy Image processing Image projections Multidimensional image processing Multidimensional images Nonbinary iterative algorithms Orthogonal projections Radiographic data Symbolic projections |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00299627 |
| New York, : Springer ; Boston, : Birkhäuser, 1999 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Extended abstracts fall 2015 : Biomedical Big Data / Guadalupe Gómez, Pere Puig, M.Luz Calle Editors ; Statistics for Low Dose Radiation Research / Elizabeth A. Ainsbury ... [et al.] editors
| Extended abstracts fall 2015 : Biomedical Big Data / Guadalupe Gómez, Pere Puig, M.Luz Calle Editors ; Statistics for Low Dose Radiation Research / Elizabeth A. Ainsbury ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Birkhäuser, 2017 |
| Descrizione fisica | vii, 131 p. : ill. ; 24 cm |
| Soggetto topico |
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 92D30 - Epidemiology [MSC 2020] 92C60 - Medical epidemiology [MSC 2020] 62N01 - Censored data models [MSC 2020] |
| Soggetto non controllato |
Bayesian methods
Epidemiology Genetics HIV research High-Dimensional Data Integrative omics Inverse regression Ionising radiation Low dose Penalized regression Radiation Biology Survival analysis Time series |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123864 |
| Cham, : Birkhäuser, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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