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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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
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
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