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{ "item_title" : "Pharmaceutical Research Methodology & Bio-Statistics", "item_author" : [" Subba Bayya Rao "], "item_description" : "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)", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/39/503/934/9395039345_b.jpg", "price_data" : { "retail_price" : "75.00", "online_price" : "75.00", "our_price" : "75.00", "club_price" : "75.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Pharmaceutical Research Methodology & Bio-Statistics|Subba Bayya Rao

Pharmaceutical Research Methodology & Bio-Statistics : Theory & Practice

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Overview

"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)

Details

  • ISBN-13: 9789395039345
  • ISBN-10: 9395039345
  • Publisher: Pharmamed Press
  • Publish Date: May 2023
  • Dimensions: 9.25 x 7.5 x 0.81 inches
  • Shipping Weight: 1.83 pounds
  • Page Count: 360

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