Biostatistical Methods and Applications in Health Research : A Case Study Approach (Hardcover)

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.