Innovative statistical methods for public health data / Ding-Geng (Din) Chen, Jeffrey Wilson editors

• Pubblicazione: [Cham], : Springer, 2015
• Titolo uniforme: Innovative statistical methods for public health data
• 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
• Persona (resp. second.): Chen, Ding-Geng (Din); Wilson, Jeffrey R.
• Titolo autorizzato: Innovative statistical methods for public health data
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0113597
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://dx.doi.org/10.1007/978-3-319-18536-1
• Serie: ICSA book series in statistics Berlin [etc.] . -Springer