Lecture 5 and 7 (Study Types) Flashcards
1
Q
Cohort study definition:
A
- prospective, observational.
- start with no diseases, look at exposure and disease development over time.
- more expensive than case-control.
2
Q
Statistic utilized for cohort study:
A
RELATIVE RISK
3
Q
Cross-sectional study definition:
A
- single time point, observational.
- take a slice of the population
- how many people have a disease or a risk factor right now
4
Q
Statistic for cross-sectional study:
A
POINT PREVALENCE
point prevalence = (total #sick)/(total population)
5
Q
Case-control study definition:
A
- retrospective, observational.
- start with disease and go back retrospectively to find the risk factor
- cheaper than cohort studies
6
Q
Statistic for case-control study:
A
ODDS RATIO
7
Q
Nested case-control study definition:
A
- select cases and controls from a cohort study
- go back and find the risk factor
8
Q
The three types of error in studies:
A
- random (chance)
- systematic (bias)
- confounders
9
Q
Random error:
A
- chance
- will cancel out as sample gets larger
- more likely will lead to type 2 error
10
Q
Systematic error (bias):
A
- cannot be corrected for regardless of sample size
- more likely will lead to a type 1 error
11
Q
Confounder definition:
A
- must be associated with exposure
- must be associated with outcome
- cannot be in the causal pathway between exposure and outcome
12
Q
How can you control for confounding?
A
- At the design stage:
- randomization
- restriction
- matching
- At the analysis stage:
- stratification
- multivariable adjustment (regression)
13
Q
Selection bias:
A
- nonrandom assignment to groups
- loss to follow up
- must be controlled at design stage.
14
Q
Healthy worker effect (bias):
A
- workers are generally healthier than the general population.
15
Q
Self-selection bias:
A
- research volunteers different from the general population in terms of their exposure and disease status.
16
Q
Withdrawal bias:
A
- differential loss to follow-up; people drop out
- drop outs may be more sick
17
Q
Recall bias:
A
- knowledge of presence of disease changes subject’s response