About the Book:

"Pharmaceutical Research Methodology and Bio-Statistics, Second Edition." This insightful guide delves deep into the essential principles of research methodology, from problem identification to statistical analysis, tailored for B. Pharm, Pharm D, M. Pharm students, researchers, and industry professionals.

Unveil the intricacies of research planning, data collection, and statistical significance assessment, all within the pharmaceutical context. Discover the nuances of clinical study designs, hypothesis development, and statistical tests, including parametric and non-parametric analyses, made accessible through practical examples and statistical software demonstrations.

Featuring a wealth of information on probability, distributions, regression analysis, and epidemiology, this book equips you with the tools to conduct robust pharmaceutical research. Whether you're a novice or seasoned professional, "Pharmaceutical Research Methodology and Bio-Statistics" serves as a comprehensive companion, offering a rich blend of theory and practice, perfect for academic study, research endeavors, and professional advancement. Get ready to elevate your research skills and embark on an enlightening journey through the realm of pharmaceutical research methodology and bio-statistics.

Contents:

1.    Introduction to Research and Bio-statistics in Pharmaceuticals

2.    Information Sources

3.    Literature Search

4.    Meta-Analysis

5.    Distinguishing Research Proposal, Research Report, Research Paper, Patent Document and Synopsis

6.    Detailed Contents of a Research Paper

7.    Clinical Trials and Clinical Study Design

8.    Principles of Experimental Designs

9.    Need of Sampling and Sampling Techniques

10. Measurement and Scaling

11. Scaling Techniques

12. Introduction to Presentation of Data and Missing Data13. Probability, Permutations and Combinations

14. Statistics, Bio-statistics and their Relation to Distribution Trends

15. Measures of Central Tendency and Variability

16. Standard Error, Confidence Level/Confidence Interval/Confidence Limits, Statistical Errors, Hypothesis

17. Student ‘t’ Distribution and its Applications

18. Chi-square Distribution

19. F-Distribution (Variance Ratio) and ANOVA

20. Non-Parametric Statistical Tests

21. Sample Size Determination

22. Introduction to Epidemiology

23. Introduction to SAS, SPSS, Epi Info and Minitab

24. Applications of SPSS, Epi Info and Minitab Softwares (Screen Shots)

25. Linear Regression, Correlation and Correlation Coefficient

26. Inventory Control

27. Accountancy and Book Keeping

28. Management Report

29. Role of Computers in Healthcare System

30. Parenterals Admixture

About the Author:

Bayya Subba Rao completed both B. Pharm and M. Pharm from College of Pharmaceutical Sciences, Manipal. He completed P.G.Diploma in Patent Laws from NALSAR University of Law, Hyderabad. He was awarded with Doctorate in Pharmaceutical Sciences degree from Andhra University, Visakhapatnam.

           During his 24 years of career he was involved in basic research, process research, teaching, government service at various levels as scientist-II, research chemist, lecturer, associate professor, I/C Principal, patent analyst. He has to his credit over 45 research, review articles published in national journals and has five copyrights.

           During his career he was involved in synthesis of new chemical entities, synthesis of drug metabolites and chemical process developments. He developed a process that was later patent applied and abandoned.

           He was involved in teaching Bio-Statistics and research methodology relating to pharmaceuticals to students at the B.Pharm, Pharm.D and M.Pharm levels.