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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 VariableDiagrams 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