[2] Class 24-25 Cross-section Flashcards
Study frame
The focus of the study
Obs studies that examine relationships of health/Dz to other variables of interest at the SAME TIME
2 names:
Cross-sectional studies
Or Prevalnce study
Entire population or a subset is selected for study
“Snap-shot” in time
Information gathered represents what is occurring at a point in time or timeframe a-cross a large population
Mostly conducted over one year period
Cross-sectional study
Study based on Dz status
Case-control study
Brought ppl into study based on exposure or not exposed or b/c they have something in common
Cohort study
Focuses simultaneously on Dz and population characteristics, including exposures, health status, health-care utilization, etc.
Seeks asso. NOT CAUSATION
Generates and test hypotheses
By reptition in different time periods, can be used to measure change/trends (not in same pt,’s
Cross-sectional studies
Wonderful at generating future research hypotheisis:
Generate ideas based on what is seen in large population
Cross-sectional study
What form are cross-sectional studies usually conducted in different aspects of US pop.
2 forms:
Surveys
Databases
2 cross-sectional approaches:
- Collect data on each member of the population
2. take a sample of the population and draw inferences to remainder [generalizable]
City/state uses this type of cross-sectional approach most commonly:
Collect data on EACH member of the population- in MO, in KC, etc.
Most frequent approach in Cross-sectional approaches in huge populations, like the entire nation, would be:
Taking a sample of the population and draw inferences
It would be impossible to collect data on each and everyone in the US for study
Types of sampling schemes:
Probability samples
And
Non-probability
Type of sampling:
Every element in the population has a known (non-zero) probability of being included in sample
Most common form of sampling
Probability samples
Ex of probability sampling
Simple Systematic Stratified simple Stratified disproportionate Multi-stage Cluster multi stage
Assign random numbers then take randomly selected #s to get desired sample size
OR
Assign random number then sequentially-list numbers and take desired sample size from top of listed numbers
Simple random sampling