Alan J. Silman (Professor of M Professor of Musculoskeletal Health, Gary J. Macfarlane (Professor of Epidemiology and Deputy Director o, Tatiana Macfarlane (Honary Reader, Honary Reader, Epidemiology Grou
Epidemiological Studies: A Practical Guide
Alan J. Silman (Professor of M Professor of Musculoskeletal Health, Gary J. Macfarlane (Professor of Epidemiology and Deputy Director o, Tatiana Macfarlane (Honary Reader, Honary Reader, Epidemiology Grou
Epidemiological Studies: A Practical Guide
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This is a practical, hands on guide to the design, planning, conduct, analysis and interpretation of epidemiological studies. It applies to all human studies of health and disease that require the collection and analysis of data to answer questions on disease risk, health outcomes and the effects of interventions in 'real world' populations.
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This is a practical, hands on guide to the design, planning, conduct, analysis and interpretation of epidemiological studies. It applies to all human studies of health and disease that require the collection and analysis of data to answer questions on disease risk, health outcomes and the effects of interventions in 'real world' populations.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Oxford University Press
- 3 Revised edition
- Seitenzahl: 304
- Erscheinungstermin: 18. Dezember 2018
- Englisch
- Abmessung: 244mm x 173mm x 20mm
- Gewicht: 544g
- ISBN-13: 9780198814726
- ISBN-10: 0198814720
- Artikelnr.: 54318141
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
- Verlag: Oxford University Press
- 3 Revised edition
- Seitenzahl: 304
- Erscheinungstermin: 18. Dezember 2018
- Englisch
- Abmessung: 244mm x 173mm x 20mm
- Gewicht: 544g
- ISBN-13: 9780198814726
- ISBN-10: 0198814720
- Artikelnr.: 54318141
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
Alan Silman is an epidemiologist and rheumatologist. He was Director of Arthritis Research UK's Epidemiology Unit at the University of Manchester from 1988-2006, before moving on to become that organisation's first Medical Director from 2007-2014. Since 2015 he has been Professor of Musculoskeletal Health at the University of Oxford working in the fields of comorbidity and big data. Gary Macfarlane trained in statistics and then medicine at the University of Glasgow before undertaking a PhD in epidemiology at the University of Bristol. He was a cancer epidemiologist at the European Institute of Oncology, Milan, held the Chair in Epidemiology at the University of Manchester and currently holds the same position at The University of Aberdeen (as well as being a Consultant in the Department of Public Health at NHS Grampian) with a research focus on musculoskeletal conditions. Tatiana Macfarlane trained in mathematics at Lomonosov Moscow State University. She was a cancer epidemiologist at the Blokhin Cancer Research Centre in Moscow, the International Agency for Research on Cancer in Lyons and the European Institute of Oncology in Milan. She undertook a PhD in epidemiology at The University of Manchester Dental School where she was Lecturer then Senior Lecturer. She was a Reader in Epidemiology at The University of Aberdeen and is currently an epidemiologist at The University of Dundee.
* Part A: Introudction
* 1: Scope of epidemiological enquiry and overview of main problem
areas
* Part B: Measuring the Occurrence of Disease
* 2: Which measure of disease occurrence?
* 3: Comparing rates: between and within populations
* 4: Studies of disease occurrence: the population
* 5: Studies of disease occurrence: assessing disease status in study
populations
* Part C: Studying Associations between Exposures and Disease
* 6: Which type of epidemiological study?
* 7: Quantifying the association between exposures and diseases: which
measure?
* Part D: Selection of Populations and Samples to Study in studies of
disease aetiology
* 8: Studies of disease causation
* 9: Use of secondary data
* Part E: Information from Epidemiological Studies
* 10: Collecting information
* 11: Obtaining valid information
* 12: Repeatability
* 13: Participation in epidemiology studies
* 14: Feasibility and pilot studies
* Part F: Analysis and Interpretation of Epidemiological Data
* 15: Preparation of collected primary data for statistical analysis
* 16: Introductory data analysis: descriptive epidemiology
* 17: Introductory data analysis: analytical epidemiology
* 18: Confounding
* 19: Bias
* 20: Association or causation
* Part G: Coherence of evidence across studies
* 21: Reviews of evidence
* 22: Meta-analysis
* Part H: Other Practical Issues
* 23: Ethical issues in epidemiology
* 24: The costs of an epidemiological study
* 1: Scope of epidemiological enquiry and overview of main problem
areas
* Part B: Measuring the Occurrence of Disease
* 2: Which measure of disease occurrence?
* 3: Comparing rates: between and within populations
* 4: Studies of disease occurrence: the population
* 5: Studies of disease occurrence: assessing disease status in study
populations
* Part C: Studying Associations between Exposures and Disease
* 6: Which type of epidemiological study?
* 7: Quantifying the association between exposures and diseases: which
measure?
* Part D: Selection of Populations and Samples to Study in studies of
disease aetiology
* 8: Studies of disease causation
* 9: Use of secondary data
* Part E: Information from Epidemiological Studies
* 10: Collecting information
* 11: Obtaining valid information
* 12: Repeatability
* 13: Participation in epidemiology studies
* 14: Feasibility and pilot studies
* Part F: Analysis and Interpretation of Epidemiological Data
* 15: Preparation of collected primary data for statistical analysis
* 16: Introductory data analysis: descriptive epidemiology
* 17: Introductory data analysis: analytical epidemiology
* 18: Confounding
* 19: Bias
* 20: Association or causation
* Part G: Coherence of evidence across studies
* 21: Reviews of evidence
* 22: Meta-analysis
* Part H: Other Practical Issues
* 23: Ethical issues in epidemiology
* 24: The costs of an epidemiological study
* Part A: Introudction
* 1: Scope of epidemiological enquiry and overview of main problem
areas
* Part B: Measuring the Occurrence of Disease
* 2: Which measure of disease occurrence?
* 3: Comparing rates: between and within populations
* 4: Studies of disease occurrence: the population
* 5: Studies of disease occurrence: assessing disease status in study
populations
* Part C: Studying Associations between Exposures and Disease
* 6: Which type of epidemiological study?
* 7: Quantifying the association between exposures and diseases: which
measure?
* Part D: Selection of Populations and Samples to Study in studies of
disease aetiology
* 8: Studies of disease causation
* 9: Use of secondary data
* Part E: Information from Epidemiological Studies
* 10: Collecting information
* 11: Obtaining valid information
* 12: Repeatability
* 13: Participation in epidemiology studies
* 14: Feasibility and pilot studies
* Part F: Analysis and Interpretation of Epidemiological Data
* 15: Preparation of collected primary data for statistical analysis
* 16: Introductory data analysis: descriptive epidemiology
* 17: Introductory data analysis: analytical epidemiology
* 18: Confounding
* 19: Bias
* 20: Association or causation
* Part G: Coherence of evidence across studies
* 21: Reviews of evidence
* 22: Meta-analysis
* Part H: Other Practical Issues
* 23: Ethical issues in epidemiology
* 24: The costs of an epidemiological study
* 1: Scope of epidemiological enquiry and overview of main problem
areas
* Part B: Measuring the Occurrence of Disease
* 2: Which measure of disease occurrence?
* 3: Comparing rates: between and within populations
* 4: Studies of disease occurrence: the population
* 5: Studies of disease occurrence: assessing disease status in study
populations
* Part C: Studying Associations between Exposures and Disease
* 6: Which type of epidemiological study?
* 7: Quantifying the association between exposures and diseases: which
measure?
* Part D: Selection of Populations and Samples to Study in studies of
disease aetiology
* 8: Studies of disease causation
* 9: Use of secondary data
* Part E: Information from Epidemiological Studies
* 10: Collecting information
* 11: Obtaining valid information
* 12: Repeatability
* 13: Participation in epidemiology studies
* 14: Feasibility and pilot studies
* Part F: Analysis and Interpretation of Epidemiological Data
* 15: Preparation of collected primary data for statistical analysis
* 16: Introductory data analysis: descriptive epidemiology
* 17: Introductory data analysis: analytical epidemiology
* 18: Confounding
* 19: Bias
* 20: Association or causation
* Part G: Coherence of evidence across studies
* 21: Reviews of evidence
* 22: Meta-analysis
* Part H: Other Practical Issues
* 23: Ethical issues in epidemiology
* 24: The costs of an epidemiological study