Biostatistics & Research Methodology
Biostatistics & Research Methodology

Author: G Nageswara Rao

Publisher: Pharmamed Press

Published: 2018-03

Total Pages: 286

ISBN-13: 9789387593527

DOWNLOAD EBOOK

This book contains 13 chapters. They include Basic concepts, Probability and Probability distributions, Tests of Hypotheses, Chi-square test, Analysis of Variance, Experimental Designs, Non-Parametric statistics and Research Methodology. All chapters are written in a lucid manner so that students can understand easily without much mathematical background. Live examples are added for illustration purpose for all the statistical methods. In some cases more than one example is added for wide applicability of the statistical tools. SPSS data analysis procedure is included for most of the popular statistical methods by giving an example in each case. Research Methodology chapter is useful to the P.G students for undertaking research for their dissertation work. This book is also intended to serve as a text book for Pharmacy students at U.G. and P.G. level

Research Methodology in the Medical and Biological Sciences
Research Methodology in the Medical and Biological Sciences

Author: Petter Laake

Publisher: Academic Press

Published: 2007-11-05

Total Pages: 510

ISBN-13: 0080552897

DOWNLOAD EBOOK

Providing easy-to-access information, this unique sourcebook covers the wide range of topics that a researcher must be familiar with in order to become a successful experimental scientist. Perfect for aspiring as well as practicing professionals in the medical and biological sciences it discusses a broad range of topics that are common, yet not traditionally considered part of formal curricula. The information presented also facilitates communication across conventional disciplinary boundaries, in line with the increasingly multidisciplinary nature of modern research projects. - Perfect for students with various professional backgrounds providing a broad scientific perspective - Easily accessible, concise material makes learning about diverse methods achievable in today's fast-paced world

Pharmaceutical Research Methodology & Bio-Statistics
Pharmaceutical Research Methodology & Bio-Statistics

Author: Subba Bayya Rao

Publisher: Pharmamed Press

Published: 2023-05

Total Pages: 0

ISBN-13: 9789395039345

DOWNLOAD EBOOK

"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)

INTRODUCTION TO BIOSTATISTICS AND RESEARCH METHODS
INTRODUCTION TO BIOSTATISTICS AND RESEARCH METHODS

Author: P. S. S. SUNDAR RAO

Publisher: PHI Learning Pvt. Ltd.

Published: 2012-01-09

Total Pages: 279

ISBN-13: 8120345207

DOWNLOAD EBOOK

The last decade has produced many textbooks on Biostatistics, with varying emphasis and degrees of mathematical complexity. This book has stood the test of time and continues to enjoy wide acceptance among students of all health and allied professions, other students and even qualified health investigators, who find it practical, simple and yet precise. This fully updated and thoroughly revised Fifth Edition, while retaining the fundamental concepts, acquaints the reader with the advances in the subject. The book explains the concepts involved in arriving at the sample size and also a quick solution to the estimation of sample size. Survival analysis and log-rank test are illustrated with examples. The essentials of Chi square tests are simplified and presented. Two-way analysis of variance (ANOVA) is explained with two examples, with and without interaction term. The chapters on Research Methods, Interventional Studies and Observational Studies provide step-by-step guide to plan and carry out quality research. Questions given in each chapter will help the learner to gauge the level of understanding of the principles and applications. Clues to the use of computer packages are provided whenever necessary. Intended for undergraduate and postgraduate medical students as well as for nursing and paramedical students, the book will also be immensely useful to medical/health faculty and researchers in the field of Biostatistics. KEY FEATURES : A new chapter on Sample Size Determination Several new sections Extensive revision of practically all chapters Provision of new examples Chapter-end exercises

Quantitative Methods in Pharmaceutical Research and Development
Quantitative Methods in Pharmaceutical Research and Development

Author: Olga V. Marchenko

Publisher: Springer Nature

Published: 2020-09-24

Total Pages: 445

ISBN-13: 3030485552

DOWNLOAD EBOOK

This contributed volume presents an overview of concepts, methods, and applications used in several quantitative areas of drug research, development, and marketing. Chapters bring together the theories and applications of various disciplines, allowing readers to learn more about quantitative fields, and to better recognize the differences between them. Because it provides a thorough overview, this will serve as a self-contained resource for readers interested in the pharmaceutical industry, and the quantitative methods that serve as its foundation. Specific disciplines covered include: Biostatistics Pharmacometrics Genomics Bioinformatics Pharmacoepidemiology Commercial analytics Operational analytics Quantitative Methods in Pharmaceutical Research and Development is ideal for undergraduate students interested in learning about real-world applications of quantitative methods, and the potential career options open to them. It will also be of interest to experts working in these areas.

Basic & Clinical Biostatistics: Fifth Edition
Basic & Clinical Biostatistics: Fifth Edition

Author: Susan White

Publisher: McGraw Hill Professional

Published: 2019-10-22

Total Pages: 367

ISBN-13: 1260455378

DOWNLOAD EBOOK

Learn to evaluate and apply statistics in medicine, medical research, and all health-related fields A Doody's Core Title for 2023! Basic & Clinical Biostatistics provides medical students, researchers, and practitioners with the knowledge needed to develop sound judgment about data applicable to clinical care. This fifth edition has been updated throughout to deliver a comprehensive, timely introduction to biostatistics and epidemiology as applied to medicine, clinical practice, and research. Particular emphasis is on study design and interpretation of results of research. The book features “Presenting Problems” drawn from studies published in the medical literature, end-of-chapter exercises, and a reorganization of content to reflect the way investigators ask research questions. To facilitate learning, each chapter contain a set of key concepts underscoring the important ideas discussed. Features: Key components include a chapter on survey research and expanded discussion of logistic regression, the Cox model, and other multivariate statistical methods Extensive examples illustrate statistical methods and design issues Updated examples using R, an open source statistical software package Expanded coverage of data visualization, including content on visual perception and discussion of tools such as Tableau, Qlik and MS Power BI Sampling and power calculations imbedded with discussion of the statistical model Updated content, examples, and data sets throughout

Research Methodology in the Health Sciences: A Quick Reference Guide
Research Methodology in the Health Sciences: A Quick Reference Guide

Author: Prasanta Kumar Bhattacharya

Publisher: McGraw Hill Professional

Published: 2021-05-06

Total Pages: 192

ISBN-13: 126046329X

DOWNLOAD EBOOK

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Concise, readable, and easy to navigate—a practical and thorough guide to conducting efficient and effective medical research Whether you’re a student, scholar, faculty member, or practicing healthcare professional Research Methodology in the Health Sciences helps you improve your research skills and critically appraise original research and apply it in evidence-based patient care. This peerless guide describes the principles of biostatistics and provides detailed examples to build your comprehension of the utility and applicability of bio-statistical tests, without going into the mathematical details of such tests. You’ll find accessible coverage of the principles of biomedical ethics in research and publication, review of the medical literature, how to write a dissertation, how to prepare and submit a research manuscript for publication in a journal, how to apply for a research grant to funding agencies, and much more. To enhance the learning process, all examples drawn exclusively from real healthcare scenarios. Research Methodology in the Health Sciences covers: Planning a research study Writing a dissertation Types of studies in clinical research Observational and interventional studies Approaches to qualitative research Ethics in medical research Biostatistics and descriptive statistics Approaches to statistical inference

Principles of Research Design and Drug Literature Evaluation
Principles of Research Design and Drug Literature Evaluation

Author: Rajender R. Aparasu

Publisher: Jones & Bartlett Publishers

Published: 2014-03-07

Total Pages: 400

ISBN-13: 1449691315

DOWNLOAD EBOOK

Principles of Research Design and Drug Literature Evaluation is a unique resource that provides a balanced approach covering critical elements of clinical research, biostatistical principles, and scientific literature evaluation techniques for evidence-based medicine. This accessible text provides comprehensive course content that meets and exceeds the curriculum standards set by the Accreditation Council for Pharmacy Education (ACPE). Written by expert authors specializing in pharmacy practice and research, this valuable text will provide pharmacy students and practitioners with a thorough understanding of the principles and practices of drug literature evaluation with a strong grounding in research and biostatistical principles. Principles of Research Design and Drug Literature Evaluation is an ideal foundation for professional pharmacy students and a key resource for pharmacy residents, research fellows, practitioners, and clinical researchers. FEATURES * Chapter Pedagogy: Learning Objectives, Review Questions, References, and Online Resources * Instructor Resources: PowerPoint Presentations, Test Bank, and an Answer Key * Student Resources: a Navigate Companion Website, including Crossword Puzzles, Interactive Flash Cards, Interactive Glossary, Matching Questions, and Web Links From the Foreword: "This book was designed to provide and encourage practitioner’s development and use of critical drug information evaluation skills through a deeper understanding of the foundational principles of study design and statistical methods. Because guidance on how a study’s limited findings should not be used is rare, practitioners must understand and evaluate for themselves the veracity and implications of the inherently limited primary literature findings they use as sources of drug information to make evidence-based decisions together with their patients. The editors organized the book into three supporting sections to meet their pedagogical goals and address practitioners’ needs in translating research into practice. Thanks to the editors, authors, and content of this book, you can now be more prepared than ever before for translating research into practice." L. Douglas Ried, PhD, FAPhA Editor-in-Chief Emeritus, Journal of the American Pharmacists Association Professor and Associate Dean for Academic Affairs, College of Pharmacy, University of Texas at Tyler, Tyler, Texas

Introduction to Statistics in Pharmaceutical Clinical Trials
Introduction to Statistics in Pharmaceutical Clinical Trials

Author: Todd A. Durham

Publisher:

Published: 2008-01-01

Total Pages: 226

ISBN-13: 9780853697145

DOWNLOAD EBOOK

All students of pharmaceutical sciences and clinical research need a solid knowledge and understanding of the nature, methods, application, and importance of statistics. Introduction to Statistics in Pharmaceutical Clinical Trials is an ideal introduction to statistics presented in the context of clinical trials conducted during pharmaceutical drug development. This novel approach both teaches the computational steps needed to conduct analyses and provides a conceptual understanding of how these analyses provide information that forms the rational basis for decision making throughout the drug development process.