"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)
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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 24 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 45 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 was later patent applied and abandoned. 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. The other academic related books authored were Practical Pharmaceutical In-organic Chemistry, Intellectual Property Rights in Pharmaceutical Industry: Theory and Practice.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - '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 &nbs. N° de réf. du vendeur 9789395039345
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