Population Health
- Created by: cdbuckley
- Created on: 30-03-15 07:50
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Clues
- A also stands for ‘Adjusted’ analyses – The additional ‘A’ question: if there were differences in the characteristics of participants in EG and CG that could affect the study disease outcomes (i.e. confounders), were they adjusted for in the analyses (10, 1, 8)
- In epidemiological studies, random errors are errors that occur due to chance, rather than due to the way studies are designed and conducted. Most random errors can be reduced by increasing study size or the no. of times a factor is measured (6, 5)
- occurs when many/all of the participants who are allocated to the Exposure Group are recruited from a different source than the participants allocated to the Comparison Group. This is equivalent to the GATE frame having two separate or overlapping tr (9, 5)
- Participants, Exposure, Comparison, Outcomes, Time (5)
- RAMBOMAN is the acronym used to demonstrate where non-random error can occur in epidemiological studies (8)
- Random sampling error is inherent in every study because, as discussed above, every study population can only be a sample of the total population of interest. While repeated 27 samples from the same total population will all be different (6, 8, 5)
- The ‘A’ question is: were the study participants successfully allocated (± adjustment) to the Exposure Group (EG) and the Comparison Group (CG)? Ideally the exposure and comparison groups would have the same 'baseline' characteristics. (10, 5)
- The ‘M’ question is: were most of the participants maintained throughout the study in the groups (EG & CG) to which they were initially allocated? (11, 5)
- The ‘R’ question is: who was recruited into the study? AND is it possible to define a group of people or population that the participants represent and that the study findings can be applied to? 2 types; external validity error and selection error (12)
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