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Statistics for Health Data Science : An Organic Approach / Ruth Etzioni, Micha Mandel, Roman Gulati
| Statistics for Health Data Science : An Organic Approach / Ruth Etzioni, Micha Mandel, Roman Gulati |
| Autore | Etzioni, Ruth |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xxii, 222 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Gulati, Roman
Mandel, Micha |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Analytic methods
Biostatistics Data science Epidemiology Health Care Databases Health Data Analytics Health Economics Health Outcomes Health Services Machine learning Medical Claims Data Models Prediction Predictive Modeling Public Health Regression Risk Statistical analysis Surveys |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249870 |
Etzioni, Ruth
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Statistics in Clinical and Observational Vaccine Studies / Jozef Nauta
| Statistics in Clinical and Observational Vaccine Studies / Jozef Nauta |
| Autore | Nauta, Jozef |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xxii, 234 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92C50 - Medical applications (general) [MSC 2020] |
| Soggetto non controllato |
Meta-analysis
Safety of Vaccines Statistical Analysis of Vaccine Trials Data Vaccine Effectiveness Studies Vaccine Equivalence and Non-Inferiority Immunogenicity Trials Vaccine Field Efficacy Trials Vaccine Immunology Vaccines |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249872 |
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Nauta, Jozef
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Statistics in Ornithology / edited by Byron J. T. Morgan, Philip M. North
| Statistics in Ornithology / edited by Byron J. T. Morgan, Philip M. North |
| Pubbl/distr/stampa | New York, : Springer-Verlag, 1985 |
| Descrizione fisica | xxv, 418 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62Hxx - Multivariate analysis [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 62D05 - Sampling theory, sample surveys [MSC 2020] |
| Soggetto non controllato |
Best fit
Classification Developments Likelihood Linear discriminant analysis Statistics Variance |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0268825 |
| New York, : Springer-Verlag, 1985 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Stochastic Abundance Models : With Emphasis on Biological Communities and Species Diversity / S. Engen
| Stochastic Abundance Models : With Emphasis on Biological Communities and Species Diversity / S. Engen |
| Autore | Engen, Steinar |
| Pubbl/distr/stampa | London, : Chapman & Hall, 1978 |
| Descrizione fisica | x, 126 p. ; 24 cm |
| Soggetto topico |
92D25 - Population dynamics (general) [MSC 2020]
92D40 - Ecology [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62H30 - Classification and discrimination; cluster analysis (statistical aspects) [MSC 2020] 62D05 - Sampling theory, sample surveys [MSC 2020] |
| Soggetto non controllato |
Parameter
Probability Probability Theory Probability distribution Statistics |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0266169 |
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Engen, Steinar
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| London, : Chapman & Hall, 1978 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Stochastic Epidemic Models with Inference / Tom Britton, Etienne Pardoux editors ; with contributions by Frank Ball … [et al.]]
| Stochastic Epidemic Models with Inference / Tom Britton, Etienne Pardoux editors ; with contributions by Frank Ball … [et al.]] |
| Pubbl/distr/stampa | Cham, : Springer, 2019 |
| Descrizione fisica | viii, 472 p. : ill. ; 24 cm |
| Soggetto topico |
92B05 - General biology and biomathematics [MSC 2020]
60J60 - Diffusion processes [MSC 2020] 05C80 - Random graphs (graph-theoretic aspects) [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62M05 - Markov processes: estimation; hidden Markov models [MSC 2020] 92D30 - Epidemiology [MSC 2020] 60J85 - Applications of branching processes [MSC 2020] |
| Soggetto non controllato |
Basic reproduction number
Central Limit Theorem Compartment models Coupling Early stage of an epidemic outbreak Epidemics on graphs Final size of an epidemic Homogeneous models Household models Infectious disease Large deviations SIR model on a configuration model random graph Statistics on epidemics models Time to extinction Two-level mixing models Weak convergence |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0126474 |
| Cham, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Stochastic Epidemic Models with Inference / Tom Britton, Etienne Pardoux editors ; with contributions by Frank Ball … [et al.]]
| Stochastic Epidemic Models with Inference / Tom Britton, Etienne Pardoux editors ; with contributions by Frank Ball … [et al.]] |
| Edizione | [Cham : Springer, 2019] |
| Pubbl/distr/stampa | viii, 472 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
92B05 - General biology and biomathematics [MSC 2020]
60J60 - Diffusion processes [MSC 2020] 05C80 - Random graphs (graph-theoretic aspects) [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62M05 - Markov processes: estimation; hidden Markov models [MSC 2020] 92D30 - Epidemiology [MSC 2020] 60J85 - Applications of branching processes [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0126474 |
| viii, 472 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Stochastic geometry, spatial statistics and random fields : models and algorithms / editor Volker Schmidt
| Stochastic geometry, spatial statistics and random fields : models and algorithms / editor Volker Schmidt |
| Pubbl/distr/stampa | Cham, : Springer, 2015 |
| Descrizione fisica | XXIV, 464 p. : ill. ; 24 cm |
| Soggetto topico |
60Dxx - Geometric probability and stochastic geometry [MSC 2020]
60G60 - Random fields [MSC 2020] 62H11 - Directional data; spatial statistics [MSC 2020] 60G55 - Point processes (e.g., Poisson, Cox, Hawkes processes) [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62M40 - Random fields; image analysis [MSC 2020] 62P30 - Applications of statistics in engineering and industry; control charts [MSC 2020] |
| Soggetto non controllato |
Mathematical Models
Random fields Simulation Algorithms Spatial Statistics Stochastic Geometry |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0101410 |
| Cham, : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Stochastic geometry, spatial statistics and random fields : models and algorithms / editor Volker Schmidt
| Stochastic geometry, spatial statistics and random fields : models and algorithms / editor Volker Schmidt |
| Edizione | [Cham : Springer, 2015] |
| Pubbl/distr/stampa | XXIV, 464 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
60Dxx - Geometric probability and stochastic geometry [MSC 2020]
60G60 - Random fields [MSC 2020] 62H11 - Directional data; spatial statistics [MSC 2020] 60G55 - Point processes (e.g., Poisson, Cox, Hawkes processes) [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 62M40 - Random fields; image analysis [MSC 2020] 62P30 - Applications of statistics in engineering and industry; control charts [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0101410 |
| XXIV, 464 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Stochastic neuron models / Priscilla E. Greenwood, Lawrence M. Ward
| Stochastic neuron models / Priscilla E. Greenwood, Lawrence M. Ward |
| Autore | Greenwood, Priscilla E. |
| Pubbl/distr/stampa | Cham, : Springer, : Mathematical biosciences Institute at the Ohio state university, 2016 |
| Descrizione fisica | X, 75 p. : ill. ; 24 cm |
| Altri autori (Persone) | Ward, Lawrence M. |
| Soggetto topico |
92C20 - Neural biology [MSC 2020]
60H30 - Applications of stochastic analysis (to PDEs, etc.) [MSC 2020] 37H10 - Generation, random and stochastic difference and differential equations [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 60J70 - Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) [MSC 2020] 60J20 - Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020] 35Q84 - Fokker-Planck equations [MSC 2020] 39A21 - Oscillation theory for difference equations [MSC 2020] |
| Soggetto non controllato |
Excitation-inhibition interaction
Model neuron Neural system Reaction-diffusion Stochastic Facilitation Stochasticity Synchronization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0115393 |
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Greenwood, Priscilla E.
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| Cham, : Springer, : Mathematical biosciences Institute at the Ohio state university, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Stochastic neuron models / Priscilla E. Greenwood, Lawrence M. Ward
| Stochastic neuron models / Priscilla E. Greenwood, Lawrence M. Ward |
| Autore | Greenwood, Priscilla E. |
| Edizione | [Cham : Springer : Mathematical biosciences Institute at the Ohio state university, 2016] |
| Pubbl/distr/stampa | X, 75 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Altri autori (Persone) | Ward, Lawrence M. |
| Soggetto topico |
92C20 - Neural biology [MSC 2020]
60H30 - Applications of stochastic analysis (to PDEs, etc.) [MSC 2020] 37H10 - Generation, random and stochastic difference and differential equations [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 60J70 - Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) [MSC 2020] 60J20 - Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020] 35Q84 - Fokker-Planck equations [MSC 2020] 39A21 - Oscillation theory for difference equations [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0115393 |
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Greenwood, Priscilla E.
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| X, 75 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Soggetto topico
-
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
(221)
- 62-XX - Statistics [MSC 2020] (119)
- 92B15 - General Biostatistics [MSC 2020] (48)
- 92-XX - Biology and other natural sciences [MSC 2020] (45)
- 62R07 - Statistical aspects of big data and data science [MSC 2020] (32)