RESS Flashcards
Incidence rate?
Incidence rate = Number of new cases in period / Number at risk in population in period
Prevalence rate?
Prevalence rate= No. of people with a disease at certain time / No. of people in the population at certain time
Case fatality rate?
Case fatality rate = No. of people who die from the disease in period / No. of people with disease in period
Mortality rate?
Mortality rate = No. of people who die from the disease in period / No. of people who die in period
How is adjustment done to better represent the crude rates? (eg age adjustment)
It is done by calculating the stratum specific rates. A stratum is a subgroup in the sample, eg) age or sex group
Risk of disease?
Risk = Number or new cases / Number at risk
What does risk ratio measure?
It measures relative risk (RR)
Risk ratio?
Those with disease and exposed to risk factor / All those exposed to risk factor
DIVIDED BY:
Those with disease and not exposed to risk factor / All those not exposed to risk factor
What does it mean if the relative risk is:
=1 ?
<1 ?
>1 ?
The further away the relative risk is from 1, the stronger the association
= 1 … the risk in the exposed group is the same as the risk in the unexposed group
<1 … the exposure is associated with a protective effect
>1 … the exposure is associated with harm
What is an Odds ratio?
A measure that represents the relative risk for a case-control study
What does it mean if the odds ratio = 1?
The probability of an event occuring is the same as the probability that the event does not occur (ie an event will occur half the time)
What is the Null hypothesis (H0)?
Assumes no effect (if the drug is tested, the H0 will be that the drug will have no effect)
What is the Alternative hypothesis (H1 or Ha)?
Assumes there is an effect, either beneficial or harmful, ie. two-sided.
What are the features of a hypothesis?
It must be:
- Plausible
- Falsifiable (able to be accepted or rejected),
- Have direction
- Be precise
What is the P value?
It is the probability of obtaining the results of the test given that the null hypothesis is true, (ie- how likely it is that the null hypothesis is correct)
So: the smaller the p value, the less likely the result is to have occurred by chance alone & thus more likely the result is due to exposure