NR 503 - Study Guide for Final Exam
1. Objectives of epidemiology
2. Define, compare, calculate, and interpret Measures of Morbidity
a. Incidence rate
b. Attack rate
c. Prevalence
3. Understand why incidence data are important for measuring risk.
4. Define, compare, calculate, and interpret Measures of Mortality
a. Cause-specific mortality rate
b. Annual mortality rate
c. Case-fatality
d. Proportionate mortality
5. Assess the Validity and Reliability of Diagnostic and Screening Tests
a. Define, compare and calculate measures of validity, including sensitivity and
specificity.
b. Define and calculate positive predictive value.
c. Understand positive predictive value (PPV) and relationship to disease
prevalence and specificity of a screening test.
6. Epidemiologic transition
7. Study designs (case-control, cross sectional, prospective and retrospective cohort, clinical
trial)
a. How findings from each study may be used to measure risks of disease
association.
b. Compare and contrast study designs, including advantages/disadvantages and
methodologic considerations of each.
c. Understand which study design is best suited to address the study hypothesis.
d. Understand why cases and controls are matched in a case control study design.
e. Understand common biases with each study design.
f. Incidence density sampling in case-control study.
8. Causal Inferences
a. Identify, define and provide examples for common biases in different
epidemiological studies, including selection bias and information bias (e.g., recall,
misclassification, differential classification, etc.).
b. Factors that could increase or decrease bias.
c. Define confounding and be able to identify confounding factors in a study and
approaches to handling confounding.
9. Identify causal association verses confounding in case control and cohort study designs.
10. Understand the guidelines for determining if an observed association is causal (Bradford-
Hill criterion)
a. Temporal
b. Strength of association
c. Dose-response
d. Replication of findings
This study source was downloaded by 100000840403022 from CourseHero.com on 01-27-2022 18:21:02 GMT -06:00
https://www.coursehero.com/file/28597032/NR-503-Final-Exam-Study-Guidedocx/
1. Objectives of epidemiology
2. Define, compare, calculate, and interpret Measures of Morbidity
a. Incidence rate
b. Attack rate
c. Prevalence
3. Understand why incidence data are important for measuring risk.
4. Define, compare, calculate, and interpret Measures of Mortality
a. Cause-specific mortality rate
b. Annual mortality rate
c. Case-fatality
d. Proportionate mortality
5. Assess the Validity and Reliability of Diagnostic and Screening Tests
a. Define, compare and calculate measures of validity, including sensitivity and
specificity.
b. Define and calculate positive predictive value.
c. Understand positive predictive value (PPV) and relationship to disease
prevalence and specificity of a screening test.
6. Epidemiologic transition
7. Study designs (case-control, cross sectional, prospective and retrospective cohort, clinical
trial)
a. How findings from each study may be used to measure risks of disease
association.
b. Compare and contrast study designs, including advantages/disadvantages and
methodologic considerations of each.
c. Understand which study design is best suited to address the study hypothesis.
d. Understand why cases and controls are matched in a case control study design.
e. Understand common biases with each study design.
f. Incidence density sampling in case-control study.
8. Causal Inferences
a. Identify, define and provide examples for common biases in different
epidemiological studies, including selection bias and information bias (e.g., recall,
misclassification, differential classification, etc.).
b. Factors that could increase or decrease bias.
c. Define confounding and be able to identify confounding factors in a study and
approaches to handling confounding.
9. Identify causal association verses confounding in case control and cohort study designs.
10. Understand the guidelines for determining if an observed association is causal (Bradford-
Hill criterion)
a. Temporal
b. Strength of association
c. Dose-response
d. Replication of findings
This study source was downloaded by 100000840403022 from CourseHero.com on 01-27-2022 18:21:02 GMT -06:00
https://www.coursehero.com/file/28597032/NR-503-Final-Exam-Study-Guidedocx/
