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 Data 13. Statistics, Bio-statistics and their Relation to Distribution Trends 14. Measures of Central Tendency and Variability 15. Standard Error, Confidence Level/Confidence Interval/Confidence Limits, Statistical Errors, Hypothesis 16. Student ‘t’ Distribution and its Applications 17. Chi-Square Distribution 18. F-Distribution (Variance Ratio) and ANOVA 19. Non-Parametric Statistical Tests 20. Sample Size Determination 21. Introduction to Epidemiology 22. Introduction to SAS, SPSS, Epi Info & Minitab 23. Applications of SPSS, Epi Info and Minitab Softwares (Screen Shots) 24. Linear Regression, Correlation and Correlation Coefficient 25. Inventory Control 26. Accountancy and Book Keeping 27. Management Report 28. Role of Computers in Healthcare System 29. Parenterals Admixture

“Pharmaceutical Research Methodology and Bio-Statistics: Theory and Practice” is aimed in understanding the fundamental concepts of developing a research bent of mind by careful planning, execution, collection of data and analyzing for statistical significance. The book is aimed at B. Pharm, Pharm D, Pharm D (PB), M. Pharm, allied course students, researchers at the academic and industry levels, Ph. D scholars, policy makers, regulators etc.

Key Features:

· Exclusively relating to pharmaceuticals

· Conventional English

· Distinguishing statistics and bio-statistics

· How to identify a problem, plan for research and execute the idea

· Chemical abstract literature search

· Anatomy of a research paper

· Compare and contrast of research proposal, research report, research paper, patent document, synopsis

· Concept of meta-analysis to resolve research ambiguities

· Classification of clinical study designs

· Approaches of developing a research methodology

· Abstract scaling concepts and techniques for developing questionnaire

· Data collection, cleansing, presenting

· How to overcome missing data

· Parametric distributions - binomial, poisson, normal, chi-square, student 't', F distributions

· Role of Type I and Type II errors, Power, sample size, confidence level, confidence interval, confidence limits

· How to judge whether data upon analysis is statistical significant or not

· Developing hypothesis as null, alternate and how to draw conclusion after conducting suitable statistical test

· Non-parametric statistical test - Sign, Wilcoxon Signed rank, Wilcoxon rank sum tests

· Parametric, Non-parametric ANOVAs (1-way, 2-way, cross over)

· Step wise Parametric and non-parametric problem solving

· Statistical softwares like SPSS, SAS, Minitab, Epi-info with screenshots

· Applications of linear regression and correlation coefficient relating to pharmaceuticals

· Fundamental concepts of book keeping, accountancy, emphasizing on making entries in journal and ledger

· Basic terminology of epidemiology

· Inventory control

· Developing a management report