WEEK THREE: MEASUREMENT, RELIABILITY, VALIDITY Flashcards
Measurement
if a thing exists in some amount; and if exists in some amount, it can be measured
Count
the number of occurrence of an event
Ratio
- relationship between 2 numbers
- Numerator not necessarily included in the denominator
- Ex. (binary) sex ratio
Odd
The probability of an event occurring relative to it not occurring
Rate
*Speed of occurrence of an event over time
*Numerator: no of EVENTS observed for a given time
*Denominator: population in which the events occur
Prevalence Rate
the proportion of the population (or population sample or sample subset) that has a given disease or other attribute at a specified time
* Obtained from cross sectional studies
Formula of Point prevalence rate
= # with disease at specific time/ population at same time
Period Prevalence Rate Formula
with disease at specific time period/ total defined population at same period
What is the Incidence Rate
the proportion of the population at risk that develops a given disease or other attribute during a specified time period
* Obtained from cohort (longitudinal) studies
Formula of Incidence Rate
of new events during a specific time period/population “at risk”
What are the 4 hallmarks of Health studies
1) A research question/plausible theory
2) A well thought design to address the research question
3) Measurement of exposure and outcome
4) Analysis to compare groups
Relative Risk
- Tells us how many times as likely is that someone who is ‘exposed’ to something will experience a particular health outcome compared to someone who is not exposed
- Tells us about the strength of an association
- Can be calculated using any measure of disease occurrence e
o Prevalence
o Incidence rate
Random Error vs. Systematic Error
random: due to chance
systematic: due to recognizable source
- can have both
Calculation of relative risk
=[a/(a+b)] / [c/c+d)]
Non Differential Misclassification
- when the probability of individuals being misclassified is equal across all groups in the study
- Usually weakens associations – brings effect estimates (RR, OR, AR) closer to the null value
- 10%