Biostatistical Methods and Applications in Health Research.

Verma, Vivek, Khan, Hafiz T.A. ORCID logoORCID: https://orcid.org/0000-0002-1817-3730, Nath, D.C. and Land, K.C. (2025) Biostatistical Methods and Applications in Health Research. Routledge, VitalSource. ISBN 9781032700991

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Abstract

Supported by real-world case studies, this essential textbook provides a detailed overview of the use of biostatistical tools and methods, enabling students and researchers to undertake their own research with confidence and understanding.

After a general introduction to the field, the book provides a step-by-step description of the essential statistical methods that are foundational to analysing data from clinical trials, epidemiological studies and other health-related research. From basic concepts such as probability and distribution through to hypothesis testing, regression analysis, survival analysis, meta-analysis and systematic reviews, each chapter is designed with a clear pedagogical approach featuring explanatory diagrams, real-life examples and sample problems. Later sections of the book cover clinical trial design and analysis, diagnostic testing, Bayesian methods and machine learning. Through this detailed, comprehensive treatment of the key tools and methods, the book encourages readers to develop their own critical thinking skills, recognising good or bad pieces of research when they see them, asking questions about where evidence and assumptions come from or choosing the most appropriate biostatistical methodologies in their own research.

Written by a team of experts with extensive teaching experience in this field, this is the ideal textbook for graduate students and researchers across the biomedical sciences, from public health to epidemiology to clinical medicine.

Item Type: Book
Additional Information: 1 - Introduction to Biostatistics Vivek Verma Part I Basic Statistics, Probability and Statistical Hypothetical Testing 2 - Descriptive Statistics in Health Research: Methods for Summarizing Health-Related Data Shafiqur Rahman 3 - Exploratory Data Analysis in Health Research – Describing Measures and Methods for Summarizing Health-Related Data Nazim Husain 4 - Introduction to Probability Gholamreza Oskrochi 5 - Statistical Hypothesis Testing for Health Sciences: Parametric and Non-Parametric Dilip C. Nath and Dibyojyoti Bhattacharjee Part II Regression Models 6 - Regression Analysis Through Illustrations Amirhossein Jalali and Santosh Kumar Sharma 7 - Statistical Model for Measuring Awareness About the Use of Pentavalent Vaccination Among Infants Through NFHS Data Shainee Saha and Kishore Kumar Das 8 - Addressing Confounding in Health Science Research Ahmed Hossain Part III Survival Analysis, Meta-Analysis and Systematic Reviews 9 - Survival Analysis of Factors Associated with Progression of Cervical Cancer Patients Mukesh Kumar and Kamalesh Kumar Patel 10 - Systematic Review and Meta-Analysis: Unveiling Evidence in Health Research Divya Jain, Prabudh Goel and Anjan Kumar Dhua 11 - A Step-By-Step Guide on Writing a Systematic Literature Review for Prevalence Study Abdulsalam Ahmed, Hafiz T.A. Khan and Nuha Ibrahim 12 - Meta-Analysis: A Primer Anoop Kumar and Denny John Part IV Clinical Trials Design and Analysis 13 - Conceptualization of Clinical Study Design: Insights and Utilities Pratibha Prasad and Masuma Khanam 14 - Sample Size: Basic Concepts Prativa Choudhury, Anjan Kumar Dhua and Prabudh Goel Part V Diagnostic Tests 15 - Inter-Observer and Intra-Observer Reliability Prativa Choudhury, Anjan Kumar Dhua and Prabudh Goel 16 - A Biostatistical Evaluation of Diabetes Medication Based on HbA1c and Glucose Levels Among U.S. Adults Vivek Verma, Masuma Khanam, Gagan Gunjan and Divya Jain Part VI Bayesian Methods and Machine Learning 17 - Applying Bayesian Methods in Diagnostics Tests for Clinical Decision-Making Vivek Verma, Prabudh Goel, Dilip C. Nath and Hafiz T. A. Khan 18 - Prediction of 90-Day Mortality Using Machine Learning Algorithm Ramesh K. Vishwakarma, Zillur Rahman Shabuz and Robert Cook
Subjects: Medicine and health > Health promotion and public health
Medicine and health > Research methodologies
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Date Deposited: 08 Dec 2025
URI: https://repository.uwl.ac.uk/id/eprint/14398
Sustainable Development Goals: Goal 3: Good Health and Well-Being

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