https://stm2.bookpi.org/POMS <p>This book is intended for medical students, teachers, and researchers to enhance their statistical and research skills. I am delighted to present it. I trust that this book covers the research methodology and medical statistics syllabus of numerous Indian medical universities that are related to the disciplines of MBBS, MD, MS, undergraduate and postgraduate degrees in pharmacy, nursing, and allied health sciences. </p> <p>This book explores the fundamental principles of medical research and the practice of medical statistics, addressing a variety of issues. Furthermore, this book is intended to facilitate evidence-based medical research and is straightforward to comprehend through self-learning. I anticipate that this book will help address a variety of medical-related issues, including the diagnosis of disease, the identification of disease characteristics, the estimation of treatment or drug effects, the prevention and control of disease, surveillance, and the formulation of health policies.</p> en-US Practice of Medical Statistics https://stm2.bookpi.org/POMS/article/view/1584 <p>This book aims to develop practical knowledge of and competence in applying research methodology and medical statistical procedures among students, researchers, healthcare professionals, and academics. It provides a comprehensive understanding of descriptive statistics, including data collection, organisation, presentation, measures of central tendency and dispersion, and the skewness and kurtosis of frequency distributions.</p> <p>The book discusses relationship-based statistical analyses using correlation and regression techniques. In inferential statistics, it explains various parametric, non-parametric, and chi-square tests through step-by-step procedures and numerous illustrative examples.</p> <p>The section on experimental design presents detailed procedures and flowcharts for analysing treatment effects using one-way ANOVA, two-way ANOVA, completely randomised design (CRD), randomised block design (RBD), and Latin square design (LSD). In addition, 2² and 2³ factorial designs are introduced for medical research to estimate main and interaction effects. Blocking and confounding techniques in factorial experiments are also discussed in detail. The adequacy of simple and multiple regression models is evaluated using statistical software.</p> <p>The book also covers a wide range of medical research methodologies and study designs. It discusses probability and non-probability sampling techniques with appropriate examples and explains methods for determining sample sizes for various types of qualitative and quantitative data.</p> <p>Furthermore, the book examines sources of vital statistics data, methods for measuring fertility and mortality, population projection techniques, and the construction and application of life tables. The final chapter focuses on evaluating diagnostic tests, including sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), likelihood ratios, and receiver operating characteristic (ROC) curve analysis, highlighting their importance in evidence-based medical research and clinical decision-making.</p> S. Kumaresan Copyright (c) 2026 Author(s). The licensee is the publisher (BP International). 2026-08-18 2026-08-18 1 619 10.9734/bpi/mono/978-81-69986-29-8