{"product_id":"pharmaceutical-research-methodology-bio-statistics-theory-practice-9789395039345","title":"Pharmaceutical Research Methodology \u0026 Bio-Statistics: Theory \u0026 Practice","description":"\u003cp\u003e • Author(s): Subba Bayya Rao\u003cbr\u003e • Publisher: Pharmamed Press\u003cbr\u003e • Publisher Imprint: Pharmamed Press\u003cbr\u003e • BISAC: Pharmacy\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\"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.\u003c\/p\u003e\u003cp\u003eKey Features: \u003c\/p\u003e\u003cp\u003e - Distinguishing statistics and bio-statistics\u003c\/p\u003e\u003cp\u003e - How to identify a problem, plan for research and execute the idea\u003c\/p\u003e\u003cp\u003e - Chemical abstract literature search\u003c\/p\u003e\u003cp\u003e - Anatomy of a research paper\u003c\/p\u003e\u003cp\u003e - Compare and contrast of research proposal, research report, research paper, patent document, synopsis\u003c\/p\u003e\u003cp\u003e - Concept of meta-analysis to resolve research ambiguities\u003c\/p\u003e\u003cp\u003e - Data collection, cleansing, presenting\u003c\/p\u003e\u003cp\u003e - How to overcome missing data\u003c\/p\u003e\u003cp\u003e - Introduction to Probability, Permutations and Combinations\u003c\/p\u003e\u003cp\u003e - Parametric distributions - binomial, poisson, normal, chi-square, student 't', F distributions\u003c\/p\u003e\u003cp\u003e - Extra information on Bernoulli Distribution and Chebyshev's Theorem\u003c\/p\u003e\u003cp\u003e - Role of Type I and Type II errors, Power, sample size, confidence level, confidence interval, confidence limits\u003c\/p\u003e\u003cp\u003e - How to judge whether data upon analysis is statistical significant or not\u003c\/p\u003e\u003cp\u003e - Developing hypothesis as null, alternate and how to draw conclusion after conducting suitable statistical test\u003c\/p\u003e\u003cp\u003e - Non-parametric statistical test - Run, Sign, Wilcoxon Signed rank, Wilcoxon rank sum tests\u003c\/p\u003e\u003cp\u003e - Parametric, Non-parametric ANOVAs (1-way with multiple comparisons, 2-way, cross over, 3-way)\u003c\/p\u003e\u003cp\u003e - Step wise Parametric and non-parametric problem solving\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e - Applications of linear regression and correlation coef ficient relating to pharmaceuticals\u003c\/p\u003e\u003cp\u003e - Appended with Multi-linear Regression Analysis (Mathematical and Excel Calculation)\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e","brand":"Pharmamed Press","offers":[{"title":"Hardcover","offer_id":48222999216279,"sku":"9789395039345","price":8085.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9789395039345.webp?v=1788758894","url":"https:\/\/atlanticbooks.com\/products\/pharmaceutical-research-methodology-bio-statistics-theory-practice-9789395039345","provider":"Atlantic Books","version":"1.0","type":"link"}