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Introduction
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Chapter 1: The Foundations of Biostatistics
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1.1 Overview of Biostatistics in Life Sciences
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1.2 Key Statistical Concepts for Biostatisticians
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1.3 The Role of Biostatistics in Modern Medicine and Research
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1.4 Exercise: 10 MCQs with Answers at the End
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Chapter 2: Data Collection and Management
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2.1 Designing Biostatistical Studies
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2.2 Data Collection Methods in Life Sciences
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2.3 Managing and Preparing Data for Analysis
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2.4 Exercise: 10 MCQs with Answers at the End
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Chapter 3: Probability and Distributions in Biostatistics
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3.1 Understanding Probability Concepts
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3.2 Key Probability Distributions Used in Biostatistics
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3.3 Applying Distributions to Biological Data
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3.4 Exercise: 10 MCQs with Answers at the End
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Chapter 4: Statistical Inference and Hypothesis Testing
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4.1 Fundamentals of Statistical Inference
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4.2 Hypothesis Testing: Concepts and Procedures
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4.3 Types of Errors and Power of a Test
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4.4 Exercise: 10 MCQs with Answers at the End
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Chapter 5: Comparative Studies and Experiments
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5.1 Designing Comparative Studies
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5.2 Analysis of Variance (ANOVA)
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5.3 Non-parametric Methods in Comparative Studies
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5.4 Exercise: 10 MCQs with Answers at the End
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Chapter 6: Regression and Correlation Analysis
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6.1 Linear Regression Analysis
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6.2 Logistic Regression in Biostatistics
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6.3 Correlation Analysis in Biological Data
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6.4 Exercise: 10 MCQs with Answers at the End
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Chapter 7: Multivariable Methods
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7.1 Introduction to Multivariable Analysis
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7.2 Techniques for Multivariable Modeling
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7.3 Interpreting Multivariable Models in Biostatistics
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7.4 Exercise: 10 MCQs with Answers at the End
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Chapter 8: Survival Analysis
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8.1 Fundamentals of Survival Analysis
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8.2 Kaplan-Meier Survival Curves
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8.3 The Cox Proportional Hazards Model
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8.4 Exercise: 10 MCQs with Answers at the End
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Chapter 9: Bioinformatics and Data Science
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9.1 Bioinformatics in Biostatistics
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9.2 Introduction to Data Science for Biostatisticians
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9.3 Machine Learning Applications in Biostatistics
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9.4 Exercise: 10 MCQs with Answers at the End
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Chapter 10: Clinical Trials Design and Analysis
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10.1 Fundamentals of Clinical Trials
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10.2 Designing Phase I-IV Clinical Trials
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10.3 Statistical Analysis of Clinical Trial Data
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10.4 Exercise: 10 MCQs with Answers at the End
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Chapter 11: Public Health Statistics
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11.1 Biostatistics in Epidemiology
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11.2 Analyzing Public Health Data
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11.3 Disease Outbreaks and Surveillance
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11.4 Exercise: 10 MCQs with Answers at the End
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Chapter 12: Advanced Statistical Methods
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12.1 Bayesian Statistics in Biostatistics
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12.2 Advanced Models for Longitudinal Data
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12.3 Meta-Analysis Techniques
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12.4 Exercise: 10 MCQs with Answers at the End
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Chapter 13: Ethical Considerations in Biostatistical Research
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13.1 Ethical Principles in Biostatistics
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13.2 Data Privacy and Confidentiality
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13.3 Ethical Issues in Clinical Trials and Public Health
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13.4 Exercise: 10 MCQs with Answers at the End
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Chapter 14: Effective Communication of Statistical Findings
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14.1 Principles of Data Visualization
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14.2 Writing and Presenting Statistical Reports
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14.3 Communicating with Non-Statistical Audiences
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14.4 Exercise: 10 MCQs with Answers at the End
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Chapter 15: The Future of Biostatistics
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15.1 Emerging Trends in Biostatistics
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15.2 Biostatistics and Personalized Medicine
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15.3 The Role of Big Data and AI in Future Research
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15.4 Exercise: 10 MCQs with Answers at the End
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Conclusion
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