Biostatistical Methods and Applications in Health Research

Vivek Verma, Assistant Professor, Department of Statistics, Assam University Silchar, Assam, India.Hafiz T.A. Khan, Professor of Public Health and Statistics at the University of West London and a Professorial Fellow at the Oxford Institute of Population Ageing, University of Oxford, UK. For the last three decades, he has been involved in teaching applied statistics, public health, demography, health economics and research methods. He has published more than 260 research articles in various international journals.Dilip C. Nath, Former Vice-Chancellor of Assam University and Professor of Statistics at Gauhati University, India. He has published more than 200 research papers in reputed national and international journals. His current research interests are in biostatistics, medical statistics, demography and actuarial statistics.Kenneth C. Land, John Franklin Crowell Professor Emeritus of Sociology at Duke University, where he is also a research professor at the Social Science Research Institute. He worked as faculty in the University of Illinois at Urbana-Champaign and the University of Texas at Austin and has published more than 450 research papers in various international journals.

• Part I Basic Statistics, Probability, and Statistical Hypothetical Testing 1. Introduction to Biostatistics. 2. Descriptive Statistics in Health Research: Methods for Summarizing Health-Related Data. 3. Exploratory Data Analysis in Health Research – Describing Measures and Methods for Summarizing Health-Related Data. 4. Introduction to Probability. 5. Statistical Hypothesis Testing for Health Sciences: Parametric and Non-Parametric. Part II Regression Models 6. Regression Analysis through illustrations. 7. Statistical Model for Measuring Awareness About the Use of Pentavalent Vaccination Among Infants Through NFHS Data. 8. Addressing Confounding in Health Science Research. Part III Survival Analysis, Meta-Analysis and Systematic Reviews 9. Survival Analysis of Factors Associated with Progression Of Cervical Cancer Patients. 10. Systematic Review and Meta-analysis: Unveiling Evidence in Health Research. 11. A Step-By-Step Guide on Writing a Systematic Literature Review for Prevalence Study. 12. Meta-Analysis: A Primer. Part IV Clinical Trials Design and Analysis 13. Conceptualization of Clinical Study Design: Insights and Utilities. 14. Sample Size: Basic Concepts. Part V Diagnostic Tests 15. Inter-Observer and Intra-Observer Reliability. 16. A Biostatistical Evaluation of Diabetes Medication based on HbA1c and Glucose Levels among U.S. Adults. Part VI Bayesian Methods and Machine Learning 17. Applying Bayesian Methods in Diagnostics Tests for Clinical Decision-making. 18. Prediction of 90-Day Mortality Using Machine Learning Algorithm.