"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.
- 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
