Module 1: Introduction - Florida International Universitybiostatcourse.fiu.edu/PDFSlides/Module2.pdf · Module 1: Introduction This module describes the purpose of the course and

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Module 1: Introduction

This module describes the purpose of the course and the general approach followed for addressing this purpose.

Reviewed 15 April 2005 by Bola /MODULE 1

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ACCEBiostatistics Training Course

Spring 2005

O. Dale Williams, MPH, PhDProfessor of Medicine and BiostatisticsUniversity of Alabama at Birmingham

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Questions

• Why are you taking this course?• What do you hope to get out of the course?• Are you concerned about the level of

mathematics that will be required?• Have you taken any statistics courses

previously?

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Course Purpose

To provide non-biostatisticians with the ability to understand and utilize basic biostatistical concepts and tools and to facilitate their capacity to seek and utilize biostatistical expertise as may be required when conducting their own research or reviewing that done by others. This course is required for all MPH degree program students as a component of the web-based integrated core curriculum.

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Course ObjectiveStudent successfully completing this course should:

• Understand and be able to use the basic concepts of biostatistics;

• Understand and be able to use the basic tools of biostatistics;

• Be able to work effectively with a professional biostatistician on problems requiring more advanced concepts and tools;

• Be able to read, understand and judge the appropriateness of the use of biostatistical concepts and tools in the basic public health literature.

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Course Topics

• Types of data, tables and graphs, frequency distribution

• Measures of central tendency and dispersion• Population versus sample, sampling distributions,

normal distribution• Point estimates, confidence intervals• Hypothesis testing concepts• z-tests, t-tests• Sample size determination

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Course Topics (Contd.)

• Tests for proportions and variances

• Analysis of variance--one-way, randomizedblocks, factorial designs

• Regression and correlation

• Contingency tables, chi-square tests

• Multiple linear regression

• Relative risk, odds ratios, logistic regression

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In order to provide a more concrete picture of what the course will cover, we will take a brief look at a relatively recent article in the American Journal of Public Health. To understand this article, you will need to understand the basic concepts and many of the basic tools of biostatistics. We will review this article now and then come back and review it again at the end of the course.

What We Will Cover

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Article for Review

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The game plan is for you to be able to understand, interpret and utilize appropriately the information in articles such as this. Further, you should be able to question whether something was properly done.

The Game Plan

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The basic strategy we will follow is to first focus on the types of data, then examine tables and graphs and frequency distributions. This is critical background for understanding samples and populations, estimates of population parameters and the fundamental elements of hypothesis testing. We will then address z-tests, t-tests and many of the other biostatistical tools routinely appearing in AJPH. In fact, much of the material will be presented in the context of relatively recent AJPH articles.

The Strategy