ML Bovbjerg 11. Foundations of Epidemiology –SCREENING AND DIAGNOSTIC TESTING

 

Learning Objectives

After reading this chapter, you will be able to do the following:

1. Differentiate between 
   screening
    and 
   diagnostic testing
2. Calculate and interpret common 
   test characteristics
3. Discuss the role of public health in 
   screening
    programs

ML Bovbjerg 10. Foundations of Epidemiology – CAUSALITY AND CAUSAL THINKING IN EPIDEMIOLOGY

 

Learning Objectives

After reading this chapter, you will be able to do the following:

1. Discuss the 3 tenets of human disease causality
2. Explain how causal thinking plays a role in the 
   epidemiology
    research process
3. Apply epidemiologic causal thinking to common exposure/disease problems

ML Bovbjerg 09_Foundations of Epidemiology –EPIDEMIOLOGIC STUDY DESIGNS

 

Learning Objectives

After reading this chapter, you will be able to do the following:

1. Compare and contrast the strengths and limitations of cohort, case-control, cross-sectional, and randomized controlled trial studies
2. Describe ecologic studies and explain the 
   ecologic fallacy
3. Describe the appropriate use of a systematic review and meta-analysis

ML Bovbjerg 08. Foundations of Epidemiology – EFFECT MODIFICATION

 

Learning Objectives

After reading this chapter, you will be able to do the following:

1. Explain what 
   effect modification
    is
2. Differentiate between confounders and effect modifiers
3. Conduct a stratified analysis to determine whether 
   effect modification
    is present in the data

ML Bovbjerg 07. Foundations of Epidemiology - CONFOUNDING

 

Learning Objectives

After reading this chapter, you will be able to do the following:

1. Explain the concept of 
   confounding
   , and how it affects the results of epidemiologic studies
2. Reiterate the criteria that a variable must meet to be a possible confounder
3. Conduct a stratified analysis to determine whether a variable is a confounder
4. Provide examples of exposure/outcome/confounder relationships, in terms of confounder criteria and analysis requirements

ML Bovbjerg 06. Foundations of Epidemiology - BIAS

 

After reading this chapter, you will be able to do the following:

1. Define 
   bias
   , and differentiate it from 
   random error
2. Differentiate between the different types of 
   bias
    common to epidemiologic studies, and provide illustrative examples of each

ML Bovbjerg 05. Foundations of Epidemiology - RANDOM ERROR

 

Learning Objectives

After reading this chapter, you will be able to do the following:

1. Define 
   random error
    and differentiate it from 
   bias
2. Illustrate 
   random error
    with examples
3. Interpret a p-value
4. Interpret a 
   confidence interval
5. Differentiate between type 1 and type 2 statistical errors and explain how they apply to epidemiologic research
6. Describe how statistical 
   power
    affects research

ML Bovbjerg 04. Foundations of Epidemiology - INTRODUCTION TO 2 X 2 TABLES, EPIDEMIOLOGIC STUDY DESIGN, AND MEASURES OF ASSOCIATION

 

Learning Objectives

After reading this chapter, you will be able to do the following:

1. Interpret data found in a 2 x 2 table
2. Compare and contrast the 4 most common types of epidemiologic studies: cohort studies, randomized controlled trials, case-control studies, and cross-sectional studies
3. Calculate and interpret relative measures of association (
   risk
    ratios, rate ratios, odds ratios)
4. Explain which measures are preferred for which study designs and why
5. Discuss the differences between absolute and relative measures of association