Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Group-sequential clinical trials with multiple co-objectives / Toshimitsu Hamasaki ... [et al.]
| Group-sequential clinical trials with multiple co-objectives / Toshimitsu Hamasaki ... [et al.] |
| Pubbl/distr/stampa | [Tokyo], : Springer, 2016 |
| Descrizione fisica | IX, 113 p. : ill. ; 24 cm |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 92C50 - Medical applications (general) [MSC 2020] 62K05 - Optimal statistical designs [MSC 2020] |
| Soggetto non controllato |
Group sequential designs
Interim Analysis Multiple endpoints Noninferiority Sample Size Recalculation Sample size calculation |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114830 |
| [Tokyo], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Group-sequential clinical trials with multiple co-objectives / Toshimitsu Hamasaki ... [et al.]
| Group-sequential clinical trials with multiple co-objectives / Toshimitsu Hamasaki ... [et al.] |
| Edizione | [[Tokyo] : Springer, 2016] |
| Pubbl/distr/stampa | IX, 113 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 92C50 - Medical applications (general) [MSC 2020] 62K05 - Optimal statistical designs [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0114830 |
| IX, 113 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
High-dimensional Microarray Data Analysis : Cancer Gene Diagnosis and Malignancy Indexes by Microarray / Shuichi Shinmura
| High-dimensional Microarray Data Analysis : Cancer Gene Diagnosis and Malignancy Indexes by Microarray / Shuichi Shinmura |
| Autore | Shinmura, Shuichi |
| Pubbl/distr/stampa | Singapore, : Springer, 2019 |
| Descrizione fisica | xxv, 419 p. : ill. ; 24 cm |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92Cxx - Physiological, cellular and medical topics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Biostatistics
Cancer Gene Analysis Cancer Gene Diagnosis Malignancy Indexes Microarrays and SMs Statistical analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0127309 |
Shinmura, Shuichi
|
||
| Singapore, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
High-dimensional Microarray Data Analysis : Cancer Gene Diagnosis and Malignancy Indexes by Microarray / Shuichi Shinmura
| High-dimensional Microarray Data Analysis : Cancer Gene Diagnosis and Malignancy Indexes by Microarray / Shuichi Shinmura |
| Autore | Shinmura, Shuichi |
| Edizione | [Singapore : Springer, 2019] |
| Pubbl/distr/stampa | xxv, 419 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92Cxx - Physiological, cellular and medical topics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0127309 |
|
Shinmura, Shuichi
|
||
| xxv, 419 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Identifiability and Regression Analysis of Biological Systems Models : Statistical and Mathematical Foundations and R Scripts / Paola Lecca
| Identifiability and Regression Analysis of Biological Systems Models : Statistical and Mathematical Foundations and R Scripts / Paola Lecca |
| Autore | Lecca, Paola |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 82 p. : ill. ; 24 cm |
| Soggetto topico |
37N25 - Dynamical systems in biology [MSC 2020]
62-XX - Statistics [MSC 2020] 62J05 - Linear regression; mixed models [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92C45 - Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) [MSC 2020] |
| Soggetto non controllato |
Factor analysis
Latent class models Model identifiability Network inference Non-linear dynamics Parameter inference Regression analysis Self-starting models Stiff dynamics Systems biology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249342 |
|
Lecca, Paola
|
||
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Innovative statistical methods for public health data / Ding-Geng (Din) Chen, Jeffrey Wilson editors
| Innovative statistical methods for public health data / Ding-Geng (Din) Chen, Jeffrey Wilson editors |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | XIV, 351 p. : ill. ; 24 cm |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 92C50 - Medical applications (general) [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Causal inference
Health surveillance Incomplete or missing data Public health statistics Standardization and decomposition analysis (SDA) Statistics biomedical research |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113597 |
| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Innovative statistical methods for public health data / Ding-Geng (Din) Chen, Jeffrey Wilson editors
| Innovative statistical methods for public health data / Ding-Geng (Din) Chen, Jeffrey Wilson editors |
| Edizione | [[Cham] : Springer, 2015] |
| Pubbl/distr/stampa | XIV, 351 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
92-XX - Biology and other natural sciences [MSC 2020]
62F15 - Bayesian inference [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92B15 - General Biostatistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 92C50 - Medical applications (general) [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0113597 |
| XIV, 351 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Introduction to data analysis and graphical presentation in biostatistics with R : statistics in the large / Thomas W. MacFarland
| Introduction to data analysis and graphical presentation in biostatistics with R : statistics in the large / Thomas W. MacFarland |
| Autore | MacFarland, Thomas W. |
| Pubbl/distr/stampa | Cham, : Springer, 2014 |
| Descrizione fisica | VII, 167 p. : ill. ; 24 cm |
| Soggetto topico |
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
62R07 - Statistical aspects of big data and data science [MSC 2020] 62A09 - Graphical methods [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
ANOVA
Biostatistics Biostatistics with R Graphical analysis Regression |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0103245 |
|
MacFarland, Thomas W.
|
||
| Cham, : Springer, 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Introduction to data analysis and graphical presentation in biostatistics with R : statistics in the large / Thomas W. MacFarland
| Introduction to data analysis and graphical presentation in biostatistics with R : statistics in the large / Thomas W. MacFarland |
| Autore | MacFarland, Thomas W. |
| Edizione | [Cham : Springer, 2014] |
| Pubbl/distr/stampa | VII, 167 p., : ill. ; 24 cm |
| Descrizione fisica | Pubblicazione in formato elettronico |
| Soggetto topico |
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
62R07 - Statistical aspects of big data and data science [MSC 2020] 62A09 - Graphical methods [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| ISBN | 8-3-319-02531-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-SUN0103245 |
|
MacFarland, Thomas W.
|
||
| VII, 167 p., : ill. ; 24 cm | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Likelihood and Bayesian Inference : with Applications in Biology and Medicine / Leonhard Held, Daniel Sabanés Bové
| Likelihood and Bayesian Inference : with Applications in Biology and Medicine / Leonhard Held, Daniel Sabanés Bové |
| Autore | Held, Leonhard |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Berlin, : Springer, 2020 |
| Descrizione fisica | xiii, 402 p. : ill. ; 24 cm |
| Altri autori (Persone) | Sabanés Bové, Daniel |
| Soggetto topico |
62F10 - Point estimation [MSC 2020]
62-XX - Statistics [MSC 2020] 62F15 - Bayesian inference [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 92B15 - General Biostatistics [MSC 2020] |
| Soggetto non controllato |
Bayesian Inference
Capture-recapture method Choice of the prior distribution Frequentist inference Hardy–Weinberg equilibrium Likelihood Inference Markov Models Maximum likelihood estimate Model Choice Model averaging Quantifying disease risk Time Series Analysis Wald Statistic |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248482 |
|
Held, Leonhard
|
||
| Berlin, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Soggetto topico
-
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
(215)
- 62-XX - Statistics [MSC 2020] (114)
- 92B15 - General Biostatistics [MSC 2020] (48)
- 92-XX - Biology and other natural sciences [MSC 2020] (44)
- 62R07 - Statistical aspects of big data and data science [MSC 2020] (30)