Comprehensive Concepts Of Research Methodology And Biostatistics
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INTRODUCTION TO BIOSTATISTICS AND RESEARCH METHODS
Author: P. S. S. SUNDAR RAO
language: en
Publisher: PHI Learning Pvt. Ltd.
Release Date: 2012-01-09
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
ESSENTIALS OF BIOSTATISTICS AND RESEARCH METHODOLOGY
THIS TEXTBOOK IS A COMPREHENSIVE USER FRIENDLY AND EASY TO READ RESOURCE ON BIOSTATISTICS AND RESEARCH METHODOLOGY. IT IS MEANT FOR UNDERGRADUATE AND POSTGRADUATE MEDICAL STUDENTS AND ALLIED BIOMEDICAL SCIENCES. HEALTH RESEARCHERS, RESEARCH SUPERVISORS AND FACULTY MEMBERS MAY FIND IT USEFUL AS A REFERENCE BOOK
TEXT BOOK OF BIOSTATISTICS AND RESEARCH METHODOLOGY
Author: Dr. Manish Baise, Dr. Narendra K. Nayak, Prof (Dr.) Meka Sreedhar Rao, Dr. Neelu Jhala, Dr. Nisha Tanwar
language: en
Publisher: Shashwat Publication
Release Date: 2025-01-30
The Text Book of Biostatistics and Research Methodology offers a comprehensive guide to the essential concepts and statistical techniques used in pharmaceutical research and biostatistics. Designed to serve as both a textbook and a reference, it covers a wide range of topics that are crucial for students and professionals in the field. The book begins with an introduction to measures of central tendency, including mean, median, and mode, providing practical pharmaceutical examples to help readers understand their applications. Next, it delves into measures of dispersion such as range, standard deviation, and their pharmaceutical implications. The section on correlation explores Karl Pearson’s coefficient and multiple correlation with a focus on real-world pharmaceutical problems. In the regression section, the book teaches methods like curve fitting, regression models, and the standard error of regression, applying these concepts to pharmaceutical scenarios. The book also provides an in-depth explanation of probability, covering binomial, normal, and Poisson distributions, along with various probability-related topics, including sample size, null and alternative hypotheses, and errors in statistical analysis. The parametric tests section includes t-tests, ANOVA, and least significance difference, while non-parametric tests such as Wilcoxon Rank Sum, Mann-Whitney U, and Kruskal-Wallis tests are also thoroughly covered. Additionally, the book explores research methodology, including the need for research, experimental design techniques, and the importance of plagiarism prevention. The section on graphs explains various types such as histograms, pie charts, and response surface plots, with practical examples for visual data representation. The methodology design chapter provides critical information on sample size determination, report writing, and designing clinical trials, including details on observational and experimental studies.