Biostatistics and Research Methodology
  the pharmaceutical approach
  by CVS Subrahmanyam / Vinatha Kasturi / J Thimmasetty
 
About The Book
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   ISBN 978-93-85529-73-3; 1st Ed. 2024, pp.xii+524

   Delhi price: 500      Outside Delhi price: 525      Overseas price : 1500

 About The Book  

   The book ‘Biostatistics and Research Methodology’ consists of a blend of statistical techniques and research methodology. This book could be a work-book to the research scholars and practicing researchers. Adequate attention is paid to MS Excel supported statistical package to workout examples. This edition becomes a companion of students and researchers(in pharmacy, nursing, dental, medical, etc.) to attain success in research.

   The book consists of 11 chapters, Introduction to Statistics and Biostatistics; Presentation of Data – Graphs; Frequency Distribution and Measures of Central Tendency; Correlation, Regression Analysis and Modeling; Probability Theories and Distributions; Inferential Statistics and Parametric Tests; Nonparametric Statistical Tests; Pharmaceutical Research – Concepts and Methodology Study Designs-Clinical Research; Statistical Computations; and Optimization – DoE – Product Development.

   Every chapter starts with the objectives and ends with a summary. Attention is given to include the following.
     1. Conceptualization of principles with illustrations, on the lines of concept mapping.
     2. Applications of principles,
     3. Comment type questions and answers,
     4. MCQs and key.
     5. Question bank including numerical problems and key.

 Content


1. INTRODUCTION TO STATISTICS AND BIOSTATISTICS
     ƒ Nature of Data – Variables and Measurements
     ƒ Biostatistics
    
2. PRESENTATION OF DATA - GRAPHS
     ƒ Column Charts and Bar Charts
     ƒ Histograms
     ƒ Pie Charts
     ƒ Line Graphs
     ƒ Contour Plots
     ƒ Response Surface Plots
    
3. FREQUENCY DISTRIBUTION AND MEASURES OF CENTRAL TENDENCY
     ƒ Arithmetic Mean
     ƒ Other Types of Means
     ƒ Median
     ƒ Mode
     ƒ Relationship between 3 Ms
     ƒ Influence of Distribution on 3 Ms
     ƒ Measures of Dispersion
    
4. CORRELATION, REGRESSION ANALYSIS AND MODELING
     ƒ Correlation Analysis
     ƒ Curve Fitting
     ƒ Regression Analysis – Linear and Multiple Linear Equations
     ƒ Regression Modeling – Linear Regression Equation
     ƒ Linear Regression Model – Hypothesis Testing
    
5. PROBABILITY THEORIES AND DISTRIBUTIONS
     ƒ Theorems on Probability
     ƒ Probability Distributions
     ƒ Binomial Distribution of Probability
     ƒ Poisson Distribution of Probability
     ƒ Normal (Probability) Distribution
     ƒ Standard Normal Distribution
    
6. INFERENTIAL STATISTICS AND PARAMETRIC TESTS
     ƒ Hypothesis Testing/Test of Significance
     ƒ Parametric Statistical Tests
     ƒ Z Test for Significance
     ƒ Student t Test for Significance
     ƒ Analysis of Variance (ANOVA)
    
7. NON-PARAMETRIC STATISTICAL TESTS
     ƒ Sign Test
     ƒ Wilcoxon Sign Rank Test
     ƒ Mann-Whitney U Test
     ƒ Wilcoxon Rank Sum Test
     ƒ Kruskal Wallis Test
     ƒ Friedman Test
     ƒ Chi-Square Test
    
8. PHARMACEUTICAL RESEARCH – CONCEPTS AND METHODOLOGY
     ƒ Research Objectives
     ƒ Motivation for Research
     ƒ Significance of Research
     ƒ Status of Research – Problems
     ƒ Characteristics of Research
     ƒ Defining Research Problem – Techniques
     ƒ Research Process – Steps
     ƒ Literature – Search and Review
    
9. STUDY DESIGNS – CLINICAL RESEARCH
     ƒ Study Designs – Elimination of Bias and Errors
     ƒ Sample Size Determination and Sampling Designs
     ƒ Observational Study Designs
     ƒ Study Designs – Descriptive Studies
     ƒ Study Designs - Analytical Observational Studies
     ƒ Experimental Designs
     ƒ Protocol Writing
     ƒ Phases of Clinical Investigations
     ƒ Research Report Writing
     ƒ Plagiarism
    
10. STATISTICAL COMPUTATIONS
     ƒ Statistical Packages
     ƒ Statistical Computations – MS Excel
     ƒ Simple Linear and Multiple Linear Regression Analysis – Modeling
    
11. OPTIMIZATION – DOE – PRODUCT DEVELOPMENT
     ƒ General Principles
     ƒ Mathematical Models and Statistical Tests
     ƒ Simulation and Search Methods
     ƒ Parametric Methods of Optimization
     ƒ Factorial Designs
     ƒ Blocking and Confounding Systems for Factorial Designs
     ƒ Response Surface Methods – Composite and Central Composite Designs
    
     Appendix I   : Statistical Tables
     Appendix II  : Key to Numerical Problems
     Appendix III : Key to MCQs
     Appendix IV : Answers to the Comments
     Appendix V  : Definitions and Meanings
     Appendix VI : Glossary of Symbols and Abbreviations
     Appendix VII : Bibliography