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Practical Biostatistics

A Step-by-Step Approach for Evidence-Based Medicine

Specificaties
Paperback, blz. | Engels
Elsevier Science | e druk, 2021
ISBN13: 9780323901024
Rubricering
Elsevier Science e druk, 2021 9780323901024
€ 106,54
Levertijd ongeveer 8 werkdagen

Samenvatting

Practical Biostatistics: A Step-by-Step Approach for Evidence-Based Medicine, Second Edition presents a complete resource of biostatistical knowledge meant for health sciences students, researchers and health care professionals. The book's content covers the investigator’s hypothesis, collective health, observational studies, the biostatistics of intervention studies, clinical trials and additional concepts. Chapters are written in a didactic way, making them easier to comprehend by readers with little or no background on statistics. Evidence-based medicine aims to apply the best available evidence gained from the scientific method to medical decision-making using statistical analyses of scientific methods and outcomes to drive further experimentation and diagnosis.

With a detailed outline of implementation steps complemented by a review of important topics, this book can be used as a quick reference or hands-on guide on how to effectively incorporate biostatistics in clinical trials and research projects.

Specificaties

ISBN13:9780323901024
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

<p>Part 1: The Investigator's Hypothesis<br>1. Investigator's Hypothesis and Expression of its Corresponding Outcome</p> <p>Part 2: Collective Health<br>2. Disease Frequency Measures<br>3. Health Indicators<br>4. Epidemiological Studies<br>5. Pharmacoeconomics</p> <p>Part 3: Observational Studies<br>6. Basic Concepts in Observational Studies<br>7. Determination of Association Strength Between an Exposure Factor and an Event in Observational Studies<br>8. Increasing Accuracy in Observational Studies</p> <p>Part 4: Biostatistics of Intervention Studies - The Clinical Trials<br>9. The Intervention Studies<br>10. N Estimation and N Assessment of a Published Trial<br>11. Organization of Variables and Endpoints<br>12. Measures for Results Expression of a Clinical Trial<br>13. Determination of Normality or Non-Normality of Data Distribution<br>14. Hypothesis Testing<br>15. Correlating Sample Data with the General Population - 95% Confidence Interval Summarizing the Steps</p> <p>Part 5: Additional Concepts in Biostatistics<br>16. Individual and Collective Benefit and Risk Indexes Inferable from Intervention Studies<br>17. Statistical Assessment of Diagnostic Tests for the Clinic<br>18. Systematic Reviews and Meta-Analyses<br>19. Correlation and Regression<br>20. Per Protocol Analysis and Intention-to-Treat Analysis</p>
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