PP
Definitions
Standard deviation
- Amount of variation from the mean value
Standard Error
- Standard deviation of means from multiple samples
- No sample fully representative
- STANDARD ERROR: measure of deviation of sample's mean from true popn mean
- Higher sample sizes reduce SE
Correlation Coefficient
- Strength of pattern
Regression coefficient
- Describes the pattern
- PREDICTS, DESCRIBES, ADJUSTS
Definitions
Prevalence
- Number of existing cases
Incidence
- Number of new cases
Study Hierachy
Stronger methodology, Less Bias, Controls for comparison, Fewer studies
- Meta-analysis
- Systematic reviews
Randomized controlled trials
- One intervention group, one control group
- Participants truly randomised to one of two groups
- Blinding to remove bias
- Best but expensive
Cohort studies
- Longitudinal, prospective study
- Starts before disease onset
- Two groups: exposed to risk factor and not exposed
- Groups are followed and incidence of disease is monitored
- Produces relative risk
- Expensive and time consuming
- Observer bias but reduced recall and selection bias
Case control Studies
- Exposure to risk factor assessed in group of cases (people with disease) compared to a group of controls (people without disease)
- Matching is employed as control of confounding risk factors
- Only proves association, not causation
- Produces an odds ratio
- Recall and selection bias
Case reports/ Case series
- Individual case
- Number of same/similar case
Animal and lab research
Correlation study:
- Correlates two or more variables to investigate relationship
Cross Sectional Study
- (Prevalence study): snap shot of popn, good indicator of prevalence
Definitions
Relative risk
- Risk of disease in exposed relative to unexposed. Expresses how many more times likely even is to occur in one group compared to another
- Thing over total
Absolute risk
- Probability of event occuring
Defintion
Odds Ratio
- Product of case-control
- Odds of event occuring in one group compared to odds of another
- Thing over other thing
- If odds ratio >1, there may be an association between risk factor and event
- <1, factor may be protective against event
- = 1 factor makes no difference
P values
- Measure of statistical significance
- Probability than an effect is not due to chance alone
- p<0.01: very strong presumption against null hypothesis
- p<0.05: Strong presumption against null hypothesis
Null Hypothesis
- Opposite to what you are testing
Type 1 error
- Null hypothesis incorrectly rejected:OPTIMIST
Type 2 error
- Null hypothesis incorrectly accepted: PESSIMIST
Definitions
Accuracy (validity)
- How good a test is at identifying correct answer
Reliabilty (consistency)
- How consistent a test is
Bradford Hill Criteria
Does association conform with current knowledge
If study was replicated in different time + place, same association?
How strong is the association between cause and effect (relative risk)
Evidence from strong study?
If exposure to cause goes up, does effect follow/vice versa if considering treatments
Single cause produces specific effect
Applying accepted evidence another area of study
Does the cause come before the effect?
TEMPORALITY
If the cause is removed, does the effect go away?
REVERSIBILITY
DOSE RESPONSE RELATIONSHIP/BIOLOGICAL GRADIENT
STRENGTH
PLAUSIBILITY
CONSISTENCY
STUDY DESIGN
SPECIFICITY
ANALOGY
Maxwell Criteria
How is service views
Fairness (not equality). People treated regards to their needs
Is service relevant to needs of popn?
Cost effective?
Does service have access for service users?
Are appointments at accessible time?
How well does it work?
ACCESIBILITY
APPROPRIATENESS
ACCEPTABILITY
EFFECTIVENESS
EFFICIENCY
EQUITY
Wilson-Junger Criteria
- Criteria should be applied before implementing potential popn screening programme
- Is condition an important health problem?
- Is there suitable exam/test?
- Is there accepted/effective treatment?
- Diagnostic and treatment facilities available?
- Disease have latent/early symptomatic stage?
- Natural record of condition known?
- Agreed policy on who is case + treatment
- Economically viable?
- Continuing process?
Suitable test/exam
False positive
- People identified as having disease, further tests they do not
True positive
- People identified as having disease, further tests confirmed
False negatives
- People identified as not having disease, further tests they do
True negatives
- People identified as not having disease, further test confirms
Sensitivity and specificity: Measures of accuracy of screening test
Sensitivity: True +ves/ (True +ves + False -ves)
- Everyone that has disease
Specificity: True -ves/ (True -ves + False +ves)
- Everyone that doesn't have disease
PPV: positive predicitive values
- The chance, if you test +ve, you will have disease
NPV: Negative predictive values
- The chance, if you test -ive, that you will not have disease