ClinEpi Flashcards
Risk difference
risk (incidence) of a disease in one group minus risk (incidence) of a disease in another group
Attributable risk
Ie - Iu
- Ie = incidence in exposed
- Iu = incidence in unexposed
Attributable risk is the risk difference when referring to factors that increase the risk of disease.
Attributable risk percent (AR%)
(Ie-Iu)/Ie
- Ie = incident in exposed
- Iu = incidence in unexposed
Attributable risk percent is the percent of risk in the exposed group that is attributable due to the exposure.
Absolute Risk Reduction (ARR)
ARR = Ic - Irx
- Ic = incidence in control group
- Irx = incidence in treatment group
Absolute risk reduction is the risk difference in context of treatment effects.
Relative Risk (RR)
RR = Ie/Iu (or Irx/Ic)
- Ie = incidence of exposure
- Iu = incidence without exposure
- Irx = incidence in treated group
- Ic = incidence in control group
Relative Risk Reduction (RRR)
RRR = Ic - Irx/Ic
RRR = ARR/Ic
- Ic = incidence in control group
- Irx = incidence in treated group
Percentage of baseline risk that is removed as a result of general therapy.
Number needed to treat (NNT)
NNT = 1/(Ic - Irx)
NNT = 1/ARR
How many patients need to be treated to prevent one outcome event.
Standard Deviation
The measure of the degree of variability in individual measurements in a study.
Standard error
The measure of dispersion of sample means around the population mea (the amount of variability in the overall mean).
Null hypothesis (Ho)
States that there is no difference in outcomes between comparison populations.
Type I error
false +
(think that there is a difference but there is not)
Type II error
false negative
(think that there is no difference but there is one)
P value
probabiliyt of finding an outcome as extreme or more extreme than the one we found assuming the null hypothesis is true
“how likely it is that this is all chance”
Confidence interval
calculated ange of values surrounding the point estimate that are consistent with the true effect (95% confidence interval for which there is a 95% chance that it contains a true value of difference). It is statistically significant if null value is not crossed.
Statistical power
Study’s ability to detect a difference assuming that a real difference exists.