Pharmaceutical Research Methodology Bio Statistics Theory Practice

"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:

- 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

- Data collection, cleansing, presenting

- How to overcome missing data

- Introduction to Probability, Permutations and Combinations

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

- Extra information on Bernoulli Distribution and Chebyshev's Theorem

- 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 - Run, Sign, Wilcoxon Signed rank, Wilcoxon rank sum tests

- Parametric, Non-parametric ANOVAs (1-way with multiple comparisons, 2-way, cross over, 3-way)

- Step wise Parametric and non-parametric problem solving

- Applications of linear regression and correlation coef ficient relating to pharmaceuticals

- Appended with Multi-linear Regression Analysis (Mathematical and Excel Calculation)