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"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…mehr

Produktbeschreibung
"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
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Autorenporträt
Bayya Subba Rao completed both B. Pharm and M. Pharm from College of Pharmaceutical Sciences, Manipal. He completed P.G. Diploma in Patent Laws from NALSAR University of Law, Hyderabad. He was awarded with Doctorate in Pharmaceutical Sciences degree from Andhra University, Visakhapatnam. During his 19 years of career he was involved in basic research, process research, teaching, government service at various levels as scientist-II, research chemist, lecturer, associate professor, I/C Principal, patent analyst. He has to his credit over 35 research, review articles published in national journals and has five copyrights. During his career he was involved in synthesis of new chemical entities, synthesis of drug metabolites and chemical process developments. He developed a process that were later patented. He was involved in teaching Bio-Statistics and research methodology relating to pharmaceuticals to students at the B.Pharm, Pharm.D and M.Pharm levels.