Gareth Hagger-Johnson

Introduction to Research Methods and Data Analysis in the Health Sciences (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This text presents a balanced blend of quantitative research methods, and the most widely used techniques for collecting and analysing data in the health sciences. Highly practical in nature, the book guides you, step-by-step, through the research process, and covers both the consumption and the production of research and data analysis.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 328
• Erscheinungstermin: 20. Juni 2014
• Englisch
• ISBN-13: 9781317674412
• Artikelnr.: 41091748

Autorenporträt

Gareth Hagger-Johnson is a Senior Research Associate in the Department of Epidemiology and Public Health at University College London, UK.

Inhaltsangabe

Introduction 1. Evidence-Based Health Research Section 1: Critical Numbers 2. Descriptive Statistics Part 1: Levels of Measurement and Measures of Central Tendency 3. Descriptive Statistics Part 2: Measures of Dispersion 4. Measures of Association for Categorical Outcomes 5. Measures of Association for Continuous Outcomes 6. Confounding, Effect Modification, Mediation and Causal Inference Section 2: Critical Appraisal of Existing Research 7. Searching the Literature 8. Randomised Controlled Trials 9. Cohort Studies 10. Case-Control Studies 11. Research Ethics and Data Management Section 3: Conducting New Research 12. Dissemination and Publication 13. Linear Regression for Continuous Outcomes 14. Logistic Regression for Categorical Outcomes Appendices

---

Introduction 1. Evidence-Based Health Research Section 1: Critical Numbers
2. Descriptive Statistics Part 1: Levels of Measurement and Measures of
Central Tendency 3. Descriptive Statistics Part 2: Measures of Dispersion
4. Measures of Association for Categorical Outcomes 5. Measures of
Association for Continuous Outcomes 6. Confounding, Effect Modification,
Mediation and Causal Inference Section 2: Critical Appraisal of Existing
Research 7. Searching the Literature 8. Randomised Controlled Trials 9.
Cohort Studies 10. Case-Control Studies 11. Research Ethics and Data
Management Section 3: Conducting New Research 12. Dissemination and
Publication 13. Linear Regression for Continuous Outcomes 14. Logistic
Regression for Categorical Outcomes Appendices