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ISLAMIC MEDICAL EDUCATION RESOURCES 04

0603-GENERAL OVER VIEW and REVISION OF BIOSTATISTICS

By Professor Omar Hasan Kasule Sr.

INTRODUCTION TO BIOSTATISTICS

Biostatistics as a discipline

History of biostatistics

Limitations of biostatistics

Career opportunities in biostatistics

 

INTRODUCTION TO COMPUTING

Information Revolution and Computer Age:

Information System

History of Computing

Computer Hardware Developments:

Computer Software:

 

PROBABILITY

Definitions

Classification of Probability

Types of Events

Laws of Probability and Mathematical Properties

Uses of Probability

 

VARIABLES

The Random Variable

Common Random Variables

Common Statistical Distributions

Scales of Random Variables

 

THE NORMAL CURVE AND ESTIMATION

Introduction

Properties and Characteristics of the Normal Curve

Use of the Normal Curve for Non-Normal Data

The Z-Score and the Area under the Curve

Estimation

 

HYPOTHESES

Hypotheses and The Scientific Method

Null Hypothesis (Ho ) & Alternative Hypothesis (Ha):

Hypothesis Testing Using Tests of Significance

Conclusions and Interpretations

 

DATA STORAGE, RETRIEVAL, and MANAGEMENT

Data Storage and Retrieval

Data Management

Data Transformation

 

DATA PRESENTATION AS DIAGRAMS

Data Grouping

Data Tabulation

Data Diagrams Showing One Quantitative Variable

Diagrams Showing 2 or More Quantitative Variables

Shapes of Distributions

 

DISCRETE DATA SUMMARY

Rates

Hazards

Ratios

Proportions

 

CONTINUOUS DATA SUMMARY 1: MEASURES OF CENTRAL TENDENCY

Concept of Averages

Means

Mode

Median

 

CONTINUOUS DATA SUMMARY 2: DISPERSION/VARIATION

Types and Sources of Variation

Measures of Variation Based on the Mean

Measures of Variation Based on Quantiles

Other Measures of Variation

Operations / Manipulations

 

DISCRETE DATA ANALYSIS

Simple Analysis of Proportions

Exact Analysis of Proportions

 

CONTINUOUS DATA ANALYSIS

Parametric Analysis for 2 Sample Means

Parametric Analysis for 3 or More Sample Means

Over-view of Non Parametric Analysis

 

CORRELATION

Description

Pearson's Correlation Coefficient, R

 

LINEAR REGRESSION

Logistic Regression

Fitting Regression Models

Professor Omar Hasan Kasule Sr. March 2006