Calculating and Interpreting Measures of Occurrence and Association

Calculating and Interpreting Measures of Occurrence and Association

Week 2 Assignment: Measures of Occurrence and Association

NOTE: For this assignment it is important that you show your work. Problems where work is not shown will not receive full credit, even if the answer is correct. Please see the Week 2 Assignment Rubric for more details about the grading criteria for this assignment.

Incidence Density

A cohort study (hypothetical) was conducted to look at survival after experiencing a myocardial infarction (heart attack). Ten participants were followed for 3 years, resulting in the following table:

Follow-up Time (Months)

Event

3

Death

5

Censored

8

Death

12

Death

17

Censored

19

Censored

27

Death

32

Censored

36

Followed until end of study period

36

Followed until end of study period

  • What is the cumulative survival probability at the end of the follow-up period?
  • Using the same data, calculate the overall death rate per 100 person-years.
  • Calculate the rates separately for each of the 3 years of follow-up.
  • Given the information above, is it appropriate to report an overall 3-year death rate for this study? Why or why not?


Attributable Risk

A hypothetical cohort study looked at the association between family history and the risk of developing Alzheimer’s disease. The results were as follows:

Alzheimer’s Disease

No Alzheimer’s Disease

Totals

Incidence of AD

Family History

50

1,950

2,000

25 per 1,000

No Family History

25

2,975

3,000

8.3 per 1,000

  • Calculate the attributable risk for Alzheimer’s disease due to family history. Interpret the calculation in words.
  • Assume the prevalence of family history in the general population is 5%. Calculate the population attributable risk and interpret it in words.
  • Now assume the prevalence of family history in the general population is 25%. What effect does this change have on the estimate of the population attributable risk? Discuss the relationship between the population prevalence of exposure and the population attributable risk. Why is it important to understand this relationship as a public health professional?