# Research and Markets: Practical Biostatistics

DUBLIN--(BUSINESS WIRE)-- Research and Markets (http://www.researchandmarkets.com/research/9xx9v9/practical) has announced the addition of Elsevier Science and Technology's new book "Practical Biostatistics" to their offering.

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.

Key Features:

- Customized presentation for biological investigators with examples taken from current clinical trials in multiple disciplines

- Clear and concise definitions and examples provide a pragmatic guide to bring clarity to the applications of statistics in improving human health

- Addresses the challenge of assimilation of mathematical concepts to better interpret literature, to build stronger studies, to present research effectively, and to improve communication with supporting biostatisticians

Topics Covered:

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

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

Self-evaluation Annotated answers Microsoft Excel 2010

Basics References

Glossary

Index

Authors

Suchmacher, Mendel

Geller, Mauro