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Module 1: Basics of Studies

 Questions when creating a study:

  1. Outcome of interest?
  2. Groups?
  3. Population?
  4. Type of Study?

Comparative studies are intended to show differences of an outcome between two or more groups.

    Cross Sectional - Collected at one point in time
    Longitudinal - multiple data sets collected at different points in time

    Retrospective - Collecting "group data" on selected outcomes
    Prospective - Collecting "outcome" on selected groups

Cohort studies gather data on groups of interest

Study Design
Pros
Cons
Randomized trials
Strength of evidence
May be unethical
Cohort studies
Relative risk
Bias confounding
Case-Control studies
Easy and inexpensive
Bias confounding
Cross-sectional
Simplest
Weakest evidence

Confounding occurs when a relationship between an exposure (risk factor) and a outcome (disease) is misrepresented because each of these variables is also related to a 3rd variable, the confounder. Ex. Ice cream sales and violent crimes both increase when it is hot outside.

Prevalence: The proportion of sampled individuals that possesses a condition of interest at a given time. Likelihood of being a case at a given point in time.

Incidence: The proportion of individuals that develop a condition of interest over a defined period of time. Risk of becoming a case over a period of time.

Interaction (Effect Modification) occurs when the magnitude of the effect of the primary exposure on an outcome (i.e., the association) differs depending on the level of a third variable.

Measures of Association


Cases (Have Disease)
Controls (No Disease)
Exposed
a
b
Unexposed
c
d

Odds Ratio (OR) = (a/c) / (b/d) = a*d / b*c = Odds that a Case was Exposed / Odds that a Control was Exposed

Relative Risk (RR) = (a / (a + b)) / (c / (c + d)) = Risk of Disease of Exposed / Risk of Disease Unexposed

If the OR is greater than 1 than the risk factor is associated with disease, less than 1 suggests its a protective factor and =1 suggests no association.

This is often used when searching for food-borne illnesses. They are quick and cheap, and can be used for uncommon disease. It falls short when finding rare exposures, and it can be difficult to find a representative control selection who can accurately recall if they were exposed.

The main measurement used in cohort studies is called the Relative Risk (RR), which is the risk of disease for those exposed to a risk factor over the risk of disease in the unexposed group.

RR > 1 is increased risk,  RR < 1 is lower risk, RR = 1 is same risk

Mantel-Haenszel Method (mOR) is used to compare the odds ratio between two strata defined by counfounders. Ex. the rate of lung cancer in shipbuilders and non-shipbuilders, stratified on those who smoked. We would call this the OR adjusted by smoking.