Challenging traditional methodologies, this analysis uncovers biases in health research. Covering fundamental principles, tools, and ethics, it offers in-depth case examples. Aimed at students and professionals, it promotes critical evaluation for a nuanced understanding of evidence production.
Challenging traditional methodologies, this analysis uncovers biases in health research. Covering fundamental principles, tools, and ethics, it offers in-depth case examples. Aimed at students and professionals, it promotes critical evaluation for a nuanced understanding of evidence production.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Karen B. Schmaling is a professor of clinical psychology at Washington State University. She has over 150 publications that have been cited over 12,000 times. Her research has been supported by the US National Institutes of Health and National Science Foundation.
Inhaltsangabe
Introduction Part I. Fundamentals: 1. 'Can it work? Does it work? Is it worth it?' 2. Core research tools 3. Clinical research ethics Part II. Rethinking research: 4. Asking the right questions 5. Bias in randomized controlled trials 6. Is bigger always better?: On sample size, statistical significance, and big data 7. Achieving transparency 8. Understanding and restraining study costs 9. Implementation: getting the right interventions to market 10. Health outcomes: a comprehensive approach 11. Confronting the crises in peer review and academic publishing 12. Ontologies: promoting a shared scientific mission Part III. Case studies: 13. Case study: treating gastroesophageal disease with Omeprazole 14. Case study: statin therapy for primary prevention of heart disease 15. Case study: cancer screening 16. Case study: antidepressant medications 17. Conclusions and recommendations.
Introduction Part I. Fundamentals: 1. 'Can it work? Does it work? Is it worth it?' 2. Core research tools 3. Clinical research ethics Part II. Rethinking research: 4. Asking the right questions 5. Bias in randomized controlled trials 6. Is bigger always better?: On sample size, statistical significance, and big data 7. Achieving transparency 8. Understanding and restraining study costs 9. Implementation: getting the right interventions to market 10. Health outcomes: a comprehensive approach 11. Confronting the crises in peer review and academic publishing 12. Ontologies: promoting a shared scientific mission Part III. Case studies: 13. Case study: treating gastroesophageal disease with Omeprazole 14. Case study: statin therapy for primary prevention of heart disease 15. Case study: cancer screening 16. Case study: antidepressant medications 17. Conclusions and recommendations.
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