Biostats Flashcards
Incidence vs Prevalence?
new cases in given time/(total population NOT infected)
P = Incidence * Duration of disease
Prevalence study called?
Cross-sectional study
Effect of INCREASED disease prevalence on PPV and NPV?
PPV increases; NPV decreases
Only study that can determine incidence?
Cohort study
Specificity vs Sensitivity?
Of all people with a disease, fraction who test positive
Of all people without disease, fraction who test negative
a/(a+c) vs d/(b+d)
PPV vs NPV
Of all people who test positive, fraction who have disease
Of all people who test negative, fraction without disease /(a+b) vs d/(c+d)
+LR vs -LR?
probability that a patient with a + test actually has the disease
Probabiliy that a patient with a - test, actually doesn’t have the disease
sen/(1-specif) vs (1-sen)/specif
RR vs OR?
a/(a+b)
Attributable risk percent vs Relative Risk
Atrributable risk percent?
incidence in exposed - incidence in unexposed
(incidence in exposed)/(incidence in unexposed)
(RR-1)/RR
Odds ratio?
(odds that a diseased person was exposed)/(odds that a non-disease person is (exposed)
(a/c)/(b/d) = ad/bc
Outcome of a case-control study?
odds ratio
Type of bias:
- sample population is different from actual population?
- different measuring methods
- additional variables
- difference in retrospection
- Prolonged survival with early detection
- Test detects slow varients of disease
- selection
- measurement
- Confounding
- recall
- Lead-time
- Length time
Type I vs Type II error (each is related with?)
Assuming there is a difference when none exists (p-value)
Assuming there is no difference when there is one (Power = 1 - beta)
Goals of primary, secondary and tertiary prevention
Prevention
Early detection
Survial
Hazard Ratio
If 1, more likely to occur in treatment group
Test reliability vs accuracy
Get same value if repeat test
vs
close to gold standard
Case control vs retrospective cohort studies?
Determine outcome then assess risk factors
vs
Determine risk factors and assess outcome
Selection Biases
#Attrition (lose people) #Prevalence (forgot about the dead people) #Berkson (only hospital patients - not applicable) #non-response (people dont respond to surveys) #Ascertainment (nonrandom selection)
Observational Biases
#Recall - sick people more willing to report exposures #Observer - preconceived expectations #Reporting - subjects over/under report due to social stigma #Surveillance/Detection - risk factor itself causes increased monitoring
Use of test:
- Chi-squared
- Two-sample t/z test
- ANOVA
- compare proportions
- compare two means
- compare 3+ means
Hawthorne effect?
People change behavior because they are being observed
Study Designs:
- Cluster
- Cross-over
- Factorial
- Parallel-group
- randomization at level of groups (not individuals)
- 2 treatment groups, which switch at a point
- 2+ interventions further divided into sub-groups
- 2 randomized groups (placebo vs treatment)