Name That Study Design
Key Elements of Design
Bias
Analysis/Equations
Foundations Of Epi
100

Obtaining histories and other important information from a group of known cases and from a comparison group to determine the relative frequency of the exposure under study

Case Control

100
  • Key Elements of Design: prospective, use of control groups, use of placebo, randomization, levels and purpose of blinding, Phase 0-IV trials

  • Sources of Bias: related to selection of participants, exposure and outcome ascertainment, non-compliance, withdrawals or losses from study

Randomized Controlled Clinical Trials

100

The relation between exposure and disease is different for those who participate or are selected and those who would be theoretically eligible for study, including those who do not participate.

Selection Bias

100

 risk/rate in the treatment group relative to the risk/rate in the control group

[A / ( A + B )]/ [C ( / C + D )]

Relative Risk/ Rate Ratio


100

 the study of how disease is distributed in populations and the factors that influence or determine this distribution.”

Epidemiology

200

Study of the long-term risk of cancer in men who have recently quit smoking

Cohort (Prospective)

200
  • Key Elements of Design: can be prospective, retrospective, or hybrid; use of blinding possible; selection based on exposure

  • Sources of Bias: related to assessment of outcome; quality and quantity of data; losses due to non-response, death or attrition/lost to follow-up; healthy worker effect

Cohort (Considered the “gold-standard” of observational studies.)

200

 A flaw in measuring exposure or outcome that results in differential quality or accuracy of information between compared groups;

Information Bias (also called misclassification or observational bias.)

200

 percent reduction in the incidence rate attributable to the intervention; i.e. percentage of outcome that could be prevented by using the intervention rather than the standard approach

Efficacy

200

a simple model of disease causation that suggests that disease is a product of the interaction between the human (or animal) host, an infectious or other type of agent, and the environment which promotes exposure.

The epidemiologic triad

300

12 women with uterine cancer and 12 without were contacted and asked about use of estrogen. Women were matched on age, race, and parity.

Case-Control Study

300
  • Key Elements of Design: retrospective, selection based on disease, population-based vs. hospital-based control selection, purpose of matching

  • Sources of Bias: related to poor ability to recall past exposures, detection bias, selective survival, Berkson’s bias, errors in data recording or transcription, inability of participant to understand question or articulate answer

Case- Control

300

the association of a third factor with both the exposure and the outcome

Confounding

300
  • The incidence of a disease that is attributable to exposure in the exposed group

  • Amount by which the risk of disease is increased/decreased for the exposed (due solely to the exposure) compared to the unexposed


a/(a+b) - c/(c+d)


Attributable Risk

300

excess occurrence (more than expected) of a disease or infectious agent in a specified population or geographic area; number of cases indicating the presence of an epidemic depends on the agent, size and type of exposed population, previous experience with the disease, and time/place of occurrence

Epidemic

400

Physical exam records of incoming freshman class of 1935 were examined in 1977 to see  if weight and height at admission were related to development of CHD by 1986.

Retrospective Cohort Study

400
  • Key Elements: snapshot of health experience of the population, simultaneous exposure/disease classification, population sampling design, public health planning and disease burden/prevalence

  • Sources of Bias: self-selection, non-response, selective survival, inability to understand or articulate, poor ability to recall, probing/leading questions

Cross-sectional

400

The association between exposure and outcome depends on the presence of a third factor

Effect Modifier

400

Comparing the odds of exposure among the cases to the odds of exposure among the controls.

a*d/b*c

Exposure Odds Ratio

400

the immunity of a group or population; resistance of a population to a specific disease or agent based on the resistance to infection of a high proportion of individuals members of the population

Herd Immunity

500

Maternal obesity is associated with increased risk of neonatal death. To investigate this association, data from the US National Maternal and Infant Health Survey were used. Only information on mothers with infant deaths and live births were included in this analysis. Self-reported pre-pregnancy BMI and weight gain were used for the exposure measures. Compared with normal weight women, obese women had increased risk of infant death.

Case control from a Cross-sectional survey

500
  • Key Elements: aggregate data, rates or prevalence of disease in an area, rates or prevalence of exposure in an area, analyzed as correlations or scatterplots

  • Sources of Bias: ecological fallacy, poor quality or incomplete information (as investigator is dependent on available data)

Ecological Study

500

concerns the estimate of association in the sampled population. Results from accurate measurement and estimation and valid inferences – apart from random error.

Internal Validity

500

A measure of how often a particular event happens in one group compared to how often it happens in another group, over time.

What are Hazard Ratios

500

The spectrum of disease/stages of disease - full range of the manifestations of a disease

Preclinical, subclinical, clinical, and latent