University of North Carolina at Chapel Hill
School of Public Health
Department of Epidemiology

Fundamentals of Epidemiology (EPID 168)

Midterm Examination, Fall 1998


  1. a. Briefly summarize two criteria on which disease classifications are based. Discuss a reason why these two criteria do not always correspond with one another. (3 pts)
  2.  

  3. b. List two examples of each of the two types of criteria you mentioned in 1A. (2 pts)
  4.  

  5. Cohort studies can form the framework for efficient substudies, using nested case-control and case-cohort study designs. Which of the following best compares and contrasts these nested case control studies and case-cohort studies. (3 pts)
    1. Both nested case control and case-cohort studies select controls that are matched on time of case development but only case-cohort studies allow for multiple comparisons with different case groups.
    2. Both nested case control and case-cohort studies select controls from the entire baseline cohort, but in case-cohort studies the selection is done at random.
    3. In case-cohort studies a single group of controls can be used for comparison with several case groups.
    4. In nested case control studies, cases are selected entirely from the non-exposed cohort group.
    5. both C and D
  1. Name the three component parts of any kind of incidence measure. (3 pts)
  2.  

  3. Over a ten-year period the number of bicycle injury events in a population increases even as the age adjusted bicycle injury rate decreases in the population. Describe two conditions that could cause this outcome (assume the definition of a bicycle injury and the quality of the data remain constant over the 10 year period) (3 pts)
  4.  

  5. Which of the following best describes the condition(s) that are required for the odds ratio (OR) to estimate the risk ratio (RR) in a case-control study. (choose one best answer) (3pts)
    1. Incident cases are identified for a defined population at risk.
    2. The controls represent the base population that gave rise to the cases.
    3. The disease outcome is rare in the base population at risk.
    4. All of the above.
  1. The association between induced abortion and breast cancer has been the subject of previous epidemiological studies. Cohort studies have found no association, while at least one case-control study has found a positive association. Possible explanations for the different results in case-control and cohort studies of this topic include (choose single best answer). (3pts)
    1. Case-control studies are prone to selection bias, whereas cohort studies are not vulnerable to selection bias.
    2. Recall bias might explain the association observed in a case-control study, but this would not be a problem in prospective cohort studies.
    3. The method of disease classification is different in case-control and cohort studies.
    4. All of the above
  1. Swaen et al (1998) conducted a study of 6,803 males who worked for at least six months before 1/1/80 at one of nine chemical plants in the Netherlands. The workers were followed for mortality from 1/1/56 until 1/1/96. Before 1/1/80, 2,842 of the workers were occupationally exposed to acrylonitrile and the other 3,961 workers were not exposed to acrylonitrile. After 1/1/80, there was no exposure to acrylonitrile. To measure the association between occupational exposure to acrylonitrile and several outcomes, the investigators calculated standardized mortality ratios (SMRs) for both the exposed and the unexposed workers. Age-interval-specific person-years were generated for specific exposure groups and were multiplied by the mortality rates for the total male population of the Netherlands to generate expected numbers of cause specific deaths.
    1. What study design did the investigators use? (2 pts)


    2. What was the (crude) cumulative incidence ratio (CIR) for mortality comparing the exposed to the unexposed men? What are two reasons why this measure is problematic with these data?


    3. For brain cancer, the SMR for the exposed workers (SMR=173.9) was more than twice the SMR for the unexposed workers (SMR=85.7). Why are these two SMRs not strictly comparable? (3 pts)


    4. There were 290 deaths due to all causes among the exposed group and 983 deaths due to all causes among the unexposed group. What measure of effect could be calculated to strictly compare all-cause mortality between the exposed and the unexposed group. (2 pts)
  1. The issue of classification of disease is fundamental to epidemiological investigations. The degree that we correctly separate cases of disease from non cases can be quantified in terms of specificity and sensitivity. The issue of correct classification is important in research involving cerebrovascular disease (stroke). Generally speaking there are two kinds of strokes, ischemic (blood flow is restricted to brain tissue because of blocked artery in or leading to the brain) and he morrhagic (a vessel in the brain ruptures causing bleeding in the brain). These two pathologic processes are quite different.

Background information:

A panel of experts reviewed the medical records of 525 patients discharged from the hospital with diagnosis codes indicative of a stroke (ICD 430-438). The panel classified strokes as either ischemic or not ischemic. Assume the diagnos is reached by the panel is the most accurate classification possible. Of the 525 cases, 325 had a discharge diagnosis code for ischemic stroke (ICD code 434). Of these 325 patients, 85 were determined by the panel not to be ischemic strokes. All but 20 o f the patients with discharge diagnosis codes other than 434 were determined by the panel to have non-ischemic strokes.

Given the background information, compute the sensitivity, specificity, and positive predictive value of a hospital discharge code for ischemic stroke (ICD code 434) in classifying a patient as truly having an ischemic stroke.

  1. sensitivity of a 434 code: (2 pts)


  2. specificity of a 434 code: (2 pts)


  3. positive predictive value of a 434 code: (2 pts)


  4. Constructing a receiver/response operating characteristic (ROC) curve may be useful in understanding the implications of using different case definitions. Briefly explain what a ROC curve is and what information it provides. (2 pts)


  5. If you were to use a 434 discharge code to identify a group of cases with ischemic stroke and the sensivity was 99% but the specificity was 40%, which of the following would best describe your resulting case group. (choose one best answer). (2 pts)
      1. The case group would be highly homogenous with respect to pathophysiology of stroke.
      2. The case group would be highly heterogeneous with respect to pathophysiology of stroke.
      3. The case group would have many false negative ischemic strokes.
      4. The case group would represent the source population of cases.
    1. What two factors influence the positive predictive value of a screening test in most situations? (2 pts)
  1. Suppose that a study was conducted to compare the rates of automobile collisions in two cities. The researchers were impressed with studies that suggest that the use of cell phones and pagers contribute to auto collisions. They wanted to adjust (standardize) the rates of auto collisions in the two cities for cell phone and pager use. Data on cell phone use and auto collisions in the two cities were collected and are presented in the table below.

Cell phone and pager use

Corona del Mar, California

Boulder, Colorado

 

# persons

# accidents

Rate*

# persons

# accidents

Rate*

Heavy

4479

293

 

100

2

 

Moderate

974

27

 

300

6

 

Never

1106

15

 

8293

145

 

Total

6559

335

 

8693

153

 

                        * per 1000 persons

    1. Calculate the crude total and cell phone/pager use specific rates for Corona del Mar and Boulder. How do these two cities compare in crude prevalence of auto accidents. (2 pts)


    2. Using the combined number of persons in both areas as a standard, calculate a standardized rate (standardized for cell phone/pager use) for each of the states. Use the direct standardization method. Briefly describe how these standardized rates compare with each other and with the crude rates. Briefly describe any meaningful differences. (4 pts)


    3. In general, which of the following best describes a major weakness of both crude and adjusted rates? (2 pts)
A. Both measures hide or obscure the heterogeneity in the population.
B. Both measures are only estimates of the true population rate.
C. Neither measure can be used to determine the magnitude of disease burden in the population.
D. None of the above.

  1. In a community intervention study, like the Minnesota Heart Health Program, the effectiveness of an educational intervention program was evaluated. Which of the following best describes the unit of assignment, the unit of observation, and the unit of analysis in these types of studies (in this order)? (2 pts)
    1. group, person, group
    2. person, group, group
    3. group, group, group
    4. none of the above
  1. Indicate next to each statement below whether you consider it to be TRUE, FALSE, or if you are NOT SURE. A correct answer receives 2 points, an incorrect one zero.
    1. An advantage of cohort designs compared to the pure case control designs is that cohort studies can directly estimate risks.
    2. The temporal sequence of exposure and disease can be directly addressed in a cohort design as well as in a case control study.
    3. A disadvantage of the cohort design compared to a case control study design is that in a cohort study one cannot address multiple outcomes.
    4. As described in class, a randomized clinic trial is an example of a prospective dynamic cohort study.
    5. A disadvantage of the cohort design compared to a case control study is that in a cohort study one needs to follow a large number of participants if the disease is rare.
    6. Ecological studies cannot directly assess causal inference because they measure disease and exposure in a person at the same point in time.
    7. Correlation studies can be quick, inexpensive, and allow for multinational comparisons.
    8. A case report is a type of descriptive study that is commonly conducted, partially because an appropriate control group is easily defined.
    9. Cross-sectional studies are limited by their lack of generalizability, but are powerful in that they directly measure risk.
    10. The study of person, place, and time helps to understand the natural history of a disease.
    11. A risk difference is determined by the absolute difference in two incidence rates, whereas the relative difference is considered an attributable risk.
    12. A correlation coefficient measures the degree of linear or monotonic relationship between two variables and is therefore suitable for determining the epidemiologic strength of association between them.
    13. As an estimate of a relative risk, an odds ratio is a measure of association that can be used to determine the magnitude of an association between exposure and an outcome.
    14. An attributable risk proportion is a measure of the impact assessing how much risk results from exposure levels. Attributable risks that adjust for the prevalence of the causal factor in a population is called a population attributable risk.
    15. Case control studies have several crucial advantages that relate to their efficiency for studying rare conditions and those with prolonged induction and their efficiency in examining many exposure and outcomes.
    16. Incidence density is a proportion where the units of time are specified.
    17. The decision to use an incidence density measure or a cumulative incidence as a measure of the strength of association may depend on the objectives of the study. Cumulative incidence is preferred if estimating individual risk is the main objective.
    18. A standardized mortality ratio (SMR) can be determined using indirect adjustment. Because rates from a standard population are used, SMR’s from two study populations can be compared as long as the rates in the standard population are stable.
    19. Comparability between cases and controls is a important step in constructing a case-control study. It should be possible to detect exposure in controls to the same extent as in cases. It is also critical that controls have similar motivation and availability as cases. These two conditions are best met when controls are selected from the general population.
  1. Attributable measures are used by researchers to assess the public health impact of a detrimental exposure, assuming causality. Given data from a cohort study on the incidence of stroke (see below), estimate the attributable risk proportion among the exposed (physically inactive). Explain your answer in one sentence. Assume that physical activity is causally related to stroke risk.

Physical activity level

Did develop a stroke

Do not develop a stroke

Person years (PY)

Incidence per 1,000 PY

ACTIVE

45

5,955

43,200

 

INACTIVE

135

13,865

100,800

 

Total

180

19,820

144,000

 

  1. Attributable risk proportion (INACTIVITY) (3 pts)


  2. Explain:

     

  3. Additional data from the National Health and Nutrition Examination Survey (NHANES) suggest the prevalence of a physically active lifestyle (at least 30 minutes of moderate activity 3 days per week) is 27%. Using this information and your answer to part (A), estimate what we can hope to accomplish with programs to get people to be physically active in the total population. In one sentence explain your answer. (3 pts)


  4. Explain:

     

  1. Suppose that in 1998 researchers hypothesized that communication ability and skill in young adulthood was related to Alzheimer’s Disease. To test this they evaluated hand written essays completed by a group of 350 nuns joining a single religious sect in 1930. By careful review of these writing samples, the researchers categorized all 350 as either having a high error profile (N=150) or a low error profile (N=200). Using surveillance of death certificates and other methods the researchers verified vital status of each nun through 1998. An accounting of all deaths produced the table below.

Cause of Death and Year by Handwriting Profile Status

 

High error profile

 

Low error profile

Cause of Death

# of Deaths

Year of Death

Cause of Death

# of Deaths

Year of Death

Alzheimer’s Disease

2

1980

Alzheimer’s Disease

1

1985

Alzheimer’s Disease

5

1985

Alzheimer’s Disease

3

1990

Alzheimer’s Disease

6

1990

Alzheimer’s Disease

4

1995

Alzheimer’s Disease

5

1995

Heart Disease

8

1980

Heart Disease

10

1980

Heart Disease

10

1990

Heart Disease

15

1995

Other

20

1960

Other

25

1960

Other

10

1970

Other

30

1970

 

 

 

  1. Describe the type of study design used in this example. (2 pts)


  2. Compute the incidence density rate of Alzheimer’s disease death for those with a high error profile and for those with a low error profile. (3 pts) Show your work.


  3. Compute the incidence density ratio for the risk of Alzheimer’s disease death associated with a high error communication profile. Explain, in two sentences or less, what this value means. (3 pts)


  4. Using data from this study compute an odds ratio for the association of a high error communication profile with death from Alzheimer’s disease. Show a clearly labeled 2x2 table. (2 pts)


  5. Compare the odds ratio with the incidence density ratio computed in part c and explain why they are similar or different.

 

Back to the top To list of examinations To EPID168 home page

 

8/4/2000vs from questions.sav