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Medical statistics

Course Description: Core Concepts and Design - Clinical Trials - Randomization - Protocol Deviations - Trial Size - Logistic Regression Models - McNemar's Test - Relative Risks - Odds Ratios - Survival Data Analysis - Survival Function - Hazard Function - Censoring - Life Tables - Kaplan-Meier Survival Curve - Parametric Methods - Log-Rank Test - Parametric Comparisons - Regression Models.
Credit hours: 3
Prerequisites: STAT 215
Objectives of the course :

This course aims to introduce the student to clinical trial design methods, relative risk management, and survival data analysis. This course also aims to delve into the application of non-parametric statistics.

Course outputs :

Acquiring knowledge by learning some basic concepts related to medical statistics and its uses. Acquiring cognitive skills to solve medical problems and improve quality of life. Training specialized personnel in medical statistics for integration into the healthcare system and to work alongside medical personnel to improve human quality of life.

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  • Last updated: 2026-06-04

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