Pharmaceutical Research Methodology & Bio-Statistics

"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)