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Handbook of Scan Statistics / Joseph Glaz, Markos V. Koutras editors
Handbook of Scan Statistics / Joseph Glaz, Markos V. Koutras editors
Edizione [Continuously updated edition]
Pubbl/distr/stampa New York, : Springer, 2019-
Descrizione fisica pag. varia : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
92B15 - General Biostatistics [MSC 2020]
Soggetto non controllato Biostatistics
Statistical Theory and Methods
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Statistics for Life Sciences, Medicine, Health Sciences
Statistics for Social Sciences, Humanities, Law
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0127511
New York, : Springer, 2019-
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Multi-indicator systems and modelling in partial order / Rainer Brüggemann, Lars Carlsen, Jochen Wittmann editors
Multi-indicator systems and modelling in partial order / Rainer Brüggemann, Lars Carlsen, Jochen Wittmann editors
Pubbl/distr/stampa New York, : Springer, 2014
Descrizione fisica XIX, 437 p. : ill. ; 24 cm
Soggetto topico 92Bxx - Mathematical biology in general [MSC 2020]
62-XX - Statistics [MSC 2020]
Soggetto non controllato Environmental Management
Mathematical Applications in Environmental Science
Partial order
Statistics
Statistics for Life Sciences, Medicine, Health Sciences
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0102668
New York, : Springer, 2014
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Multilevel Modelling for Public Health and Health Services Research [[electronic resource] ] : Health in Context / / by Alastair H. Leyland, Peter P. Groenewegen
Multilevel Modelling for Public Health and Health Services Research [[electronic resource] ] : Health in Context / / by Alastair H. Leyland, Peter P. Groenewegen
Autore Leyland Alastair H
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Springer Nature, 2020
Descrizione fisica 1 online resource (XVII, 288 p. 143 illus., 103 illus. in color.)
Disciplina 613
614
Soggetto topico Public health
Medical care
Sociology—Research
Epidemiology
Statistics 
Public Health
Health Services Research
Research Methodology
Statistics for Life Sciences, Medicine, Health Sciences
Soggetto non controllato Public Health
Health Services Research
Research Methodology
Epidemiology
Statistics for Life Sciences, Medicine, Health Sciences
Health Sciences
Sociological Methods
Statistics in Life Sciences, Medicine, Health Sciences
MLwiN
epidemiological methods
health services research methodology
multilevel analysis
multilevel modelling
statistical methods for public health research
Open Access
Public health & preventive medicine
Health systems & services
Social research & statistics
Epidemiology & medical statistics
Probability & statistics
ISBN 3-030-34801-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Theoretical, conceptual and methodological background -- Chapter 1: Introduction -- Chapter 2: Health in context -- Chapter 3: What is multilevel modelling? -- Chapter 4: Multilevel data structures -- Part II: Statistical background -- Chapter 5: Graphs and equations -- Chapter 6: Apportioning variation in multilevel models -- Part III: The modelling process and presentation of research -- Chapter 7: Context, composition and how their influences vary -- Chapter 8: Ecometrics: Using MLA to construct contextual variables from individual data -- Chapter 9: Modelling strategies -- Chapter 10: Reading and writing -- Part IV: Tutorials with example datasets -- Chapter 11: Multilevel linear regression using MLwiN: Mortality in England and Wales, 1979-1992 -- Chapter 12. Multilevel logistic regression using MLwiN: Referrals to physiotherapy -- Chapter 13. Untangling context and composition using MLwiN: Incidence of cardiovascular disease in small areas in Scotland.
Record Nr. UNINA-9910380727303321
Leyland Alastair H  
Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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