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Pharmaceutical Research Methodology & Bio-Statistics

Über Pharmaceutical Research Methodology & Bio-Statistics

"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

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  • Sprache:
  • Englisch
  • ISBN:
  • 9789395039345
  • Einband:
  • Gebundene Ausgabe
  • Seitenzahl:
  • 360
  • Veröffentlicht:
  • 1. Mai 2023
  • Abmessungen:
  • 196x24x241 mm.
  • Gewicht:
  • 868 g.
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Beschreibung von Pharmaceutical Research Methodology & Bio-Statistics

"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

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