Name: Pharmaceutical Research Methodology & Bio-Statistics: Theory & Practice (en Inglés)
SKU: 56863913
Price: 80.10 USD
Availability: InStock
Author: Rao, Subba Bayya
ISBN: 9789395039345

portada Pharmaceutical Research Methodology & Bio-Statistics: Theory & Practice (en Inglés)

Pharmaceutical Research Methodology & Bio-Statistics: Theory & Practice (en Inglés)

Formato

Libro Físico

Autor

Subba Bayya Rao

Editorial

Pharmamed Press

Idioma

Inglés

N° páginas

360

Encuadernación

Tapa Dura

Dimensiones

23.5x19.1x2.1 cm

Peso

0.83 kg.

ISBN13

9789395039345

N° edición

0002

Categorías

Investigación médica
Epidemiología y estadística médica
Farmacia/prescripción/dispensación
Investigación científica

Pharmaceutical Research Methodology & Bio-Statistics: Theory & Practice (en Inglés)

Subba Bayya Rao (Autor) · Pharmamed Press · Tapa Dura

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Reseña del libro "Pharmaceutical Research Methodology & Bio-Statistics: Theory & Practice (en Inglés)"

"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)