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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
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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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
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