Practical biostatistics : a user-friendly approach for evidence-based medicine / Mendel Suchmacher, Mauro Geller.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- 9780124157941
- 0124157947
- Practical biostatistics with Microsoft Excel [Cover title]
- 570.151 SUC
- 2012 H-094
- WA 950
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CUTN Central Library Sciences | Non-fiction | 570.151 SUC (Browse shelf(Opens below)) | Available | 27983 |
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570.151 LE Multivariate data integration using R : methods and applications with the mixOmics package / | 570.151 PAR Application of Statistics in Biological Sciences | 570.151 SAM Statistics for the life sciences / | 570.151 SUC Practical biostatistics : | 570.1519 JOS Research Methodology and Biostatistics | 570.15195 BAI Statistical methods in biology / | 570.15195 WEL Frontier Technologies In Biosciences / |
Evidence-based medicine aims to apply the best available evidence gained from the scientific method to medical decision making. It is a practice that uses statistical analysis of scientific methods and outcomes to drive further experimentation and diagnosis. The profusion of evidence-based medicine in medical practice and clinical research has produced a need for life scientists and clinical researchers to assimilate biostatistics into their work to meet efficacy and practical standards. Practical Biostatistics provides researchers, medical professionals, and students with a friendly, practical guide to biostatistics. With a detailed outline of implementation steps complemented by a review of important topics, this book can be used as a quick reference or a hands-on guide to effectively incorporate biostatistics in clinical trials.
PART 1 - STUDY TYPE DETERMINATION 1. Epidemiological studies 2. Analytical studies 3. Summary PART 2 - OBSERVATIONAL STUDIES 4. Determination of association strength between an exposure factor and an event in observational studies 5. Increasing accuracy in observational studies PART 3 - STEP-BY-STEP BIOSTATISTICS OF A CLINICAL TRIAL 6. STEP 1: Investigator's hypothesis and expression of its corresponding outcome 7. STEP 2: n estimation and n assessment of a published trial 8. STEP 3: Organization of variables and endpoints 9. STEP 4: Measures for results expression of a clinical trial 10. STEP 5: Determination of normality or non-normality of data distribution 11. STEP 6: Hypothesis testing 12. STEP 7: Correlating sample data with the general population - 95% confidence Interval PART 4 - ADDITIONAL CONCEPTS IN BIOSTATISTICS 13. Individual and collective benefit and risk indexes inferable from intervention cohort studies 14. Statistical assessment of diagnostic tests for the clinic 15. Systematic reviews and meta-analyses 16. Correlation and regression 17. Per protocol analysis and intention to treat analysis
Includes bibliographical references and index.
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