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 (H_o ) & Alternative Hypothesis (H_a):

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