Public Health Flashcards
Cross Sectional
Case-Control
Cohort
Cross-section - looks at CURRENT freq disease and freq risk
Case-Control - retro; start w/ disease then look at who had exposure (odds ratio)
Cohort - retro or prospective; start w/ exposure then look at disease (relative risk)
4 Phases of Clinical Trial
SWIM
I - safety (just healthy volunteers)
II - does it Work? (small # pts w/ disease)
III - Improvement (test against current drug or placebo)
IV - Monitor (post-marketing surveillance)
Sensitivity
Specificity
Sensitivity - SCREEN
1 - rate false neg
TP/ (TP + FN)
Specificity - CONFIRM
1 - rate of false pos
TN / (TN + FP)
PPV
NPV
PPV - if test is pos how likely to have disease
TP / (all pos) or TP / (TP + FP)
PPV increases w/ inc prevalence
NPV - if test is negative how likely to not have disease
TN / (all neg) or TN (TN + FN)
NPV decreases w/ inc prevalence
Likelihood Ratio
Multiply LR by pre-test probability to estimate post-test odds
pos LR = true pos / false pos = sensitivity / (1-spec)
neg LR = false neg / true neg = (1-sens) / specificity
What are ideal pos and neg likelihood ratios?
pos > 10
neg < .1
Odds Ratio
odds if exp / odds if no exposure
a/b) / (c/d
Relative Risk
Proportion of ppl w/ disease in exposure group / proportion of ppl w/ disease in non-exposure group
RR = 1 (no risk)
RR > 1 then inc risk if exposure
RR < 1 then dec risk if exposure
Attributable Risk
Diff in risk b/n groups
Risk in exposed - Risk in unexposed
AKA how much risk can be explained by exposure
Relative Risk Reduction
1 - RR
Proportion of risk reduction attributable to intervention compared to control
Absolute Risk Reduction
Risk in intervention group - risk in control group
Number Needed to Treat
Number Needed to Harm
NNT = 1/ARR
NNH = 1/ AR
Standard Error Equation
SD / square root of sample size
So std error dec as inc sample size
Type I Error
Type II Error
Type I - false pos (reject null when null is true)
alpha - prob of type I (usually set at .05)
Type II - false neg (do not reject null when there is an effect)
beta - prob of type II error
Power (what inc it?)
1 - beta
Inc by …
- inc sample size
- in effect size
- inc precision of measurement