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Definition of incidence of a disease
- The rate at which new cases occur in a population at risk during a specific time period
- The measure of the populations average risk of disease
Definition of prevalence
The proportion of a population who have a disease at a specific moment of time
(Lowered by death and cure)
Define the relationship between incidence and prevalence
Prevalence = incidence x mean duration of disease
How do you compare the incidence in two different groups?
Incidence rate ratio
How do you interpret the incidence rate ratio?
IRR = (8/40000) / (3/30000) = 2
Therefore, you are 2 times as likely to die in an exposed region than in the unexposed region
What is a confounding factor?
A factor which is linked to both the outcome and the exposure but is not on the causal pathway
How do you deal with confounding from age and sex?
Use a standardised mortality ratio or standardises morbidity ratio
Define variation
Difference between the observed value and the actual value
What allows for variations?
Error factors
What are confidence intervals?
The values between which we are 95% confident that our actual value lies between
How do you obtain confidence intervals?
- Calculate incidence rate/incidence rate ratio/SMR
- Calculate error factors
- Calculate confidence intervals
- Interpret confidence intervals
How do you calculate confidence intervals?
Upper bound value = value x error factor
Lower bound value = value/error factor
Interpreting a 95% confidence interval when null lies within values
- is null hypothesis within CI (Yes)
- are 95% confident that the true value lies within values as it includes the null hypothesis
- p>0.05
- cannot reject the null hypothesis
- results are not statistically significant
Interpreting a value that lies outside the CI
- null hypothesis within CI (no)
- 95% certain that true value lies within CI which does not contain hull hypothesis value
- p< 0.05
- can reject the null hypothesis
- results are statistically significant, unlikely to have occurred due to chance
What does the rate measure?
Absolute risk
What does a ratio measure?
Relative risk
What does a p value < 0.05 signify?
Data is not due to chance
Substantial evidence against null hypothesis
Should reject null hypothesis
Observations are statistically significant
What does a p-value > 0.05 signify?
Data is due to chance
No evidence to reject null hypothesis (can’t accept though)
Results are due to chance
Observations are not statistically significant
What is bias?
The deviations of results from the truth via certain processes
What is selection bias?
Error due to systematic differences in the way that the data was collected
- allocation bias
- healthy worker effect
- non-random sample of the population
What is information bias?
Bias due to measurement errors
- recall bias
- publication bias
What are cohort studies?
Recruit disease-free individuals and classify based on their exposure.
Follow up for extended periods
Calculate incidence rates
Advantages of cohort studies
- Compares outcomes based on one exposure
- Can study a range of outcomes for each exposure
- Limits bias
- Measures incidence directly
- Establishes that exposure precedes the outcome
- Good for rare exposures
What are the types of cohort studies?
Prospective – recruit disease free individuals then follow up
Retrospective – calculate exposure status from historical records then follow up