STATISTICS

Course Credits: 3 Units

Prerequisites: Stat 129

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STAT 175 - Introduction to Biostatics

Course Description

This course covers Descriptive and inferential statistics in the health sciences; Epidemiologic Studies; Clinical Trials; Survival Analysis

Course Learning Outcomes

After completion of the course, the student should be able to:

  1. Recognize the procedure and ethical considerations of epidemiologic studies and clinical trials
  2. Demonstrate understanding of the basic principles and methods of epidemiology and biostatistics
  3. Analyze epidemiological, medical, and biological data using appropriate statistical procedures
  4. Design valid and efficient studies to address health and clinical problems
Course Outline

UNIT 1. Preliminaries

  1. Introduction
  2. Concept and Terminologies
  3. Uses and Misuses of Statistics

UNIT 2. Types of Study Designs

  1. Factors affecting the study design
  2. Exploratory Studies
  3. Descriptive Studies
  4. Comparative/Analytical Studies
  5. Experimental Studies
  6. Quasi-experimental Studies

UNIT 3. Data Collection Techniques

  1. Using available information
  2. Observing
  3. Interviewing
  4. Administering written questionnaires
  5. Focus group discussion
  6. Sampling techniques

UNIT 4. Summarizing Data

  1. Summary Measures
  2. Some Health Indicators
  3. Data Presentations

UNIT 5. Probability, Probability Distributions, and Sampling Distributions

  1. Review of Probability Theory
  2. Some Direct Application of Probability
  3. Sampling Distributions

UNIT 6. Estimation and Hypothesis Testing

  1. Point and Interval Estimation
  2. Parametric Hypothesis Testing
  3. Analysis of Variance
  4. Nonparametric Hypothesis Testing
  5. Contingency Tables

UNIT 7. Regression Analysis

  1. Simple and Linear Regression Analysis
  2. Logistic Regression Analysis
  3. Probit Analysis

UNIT 8. Mixed-Effects Modelling/p>

  1. Fixed-Effects Models
  2. Random-Effects Models
  3. Mixed-Effects Models

UNIT 9. Introduction to Meta-Analysis

  1. Types of Meta-analysis
  2. Estimating Pooled Effect Sizes
  3. Subgroup analysis
  4. Heterogeneity and Publication Bias

UNIT 10. Clinical Trials

  1. Phases of Clinical Trials
  2. Comparisons made in clinical trials
  3. Common Clinical Trial Designs
  4. Design Features of Clinical Trials
  5. Ethical Considerations