"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)
