Ethics & Statistics Flashcards
Elizabeth Kubler-Ross psychological stages at the end of life
Denial, anger, bargaining, depression, & acceptance
Sensitivity
the probability that a person w/ a disease will have a positive result on a given test
***high sensitivity is useful in a screening test, as the goal is to identify everyone w/ a given disease
Specificity
the probability that a person w/o a disease will have a negative result on a test
***high specificity is desirable for a confirmatory test
positive predictive value (PPV)
the probability that a person with a positive test result has the disease (true positives/all positives); if a disease has a greater prevalence, then the PPV is higher
negative predictive value (NPV)
the probability that a person w/ a negative test result is disease free (true negatives/all negatives); a test has a higher NPV when a disease has a lower prevalence
incidence
the number of NEW cases of a given disease per year
prevalence
the total number of EXISTING cases of a given disease in the entire population
absolute risk
the probability of an event in a given time period
relative risk
used to evaluate results of cohort (prospective) studies; compares the incidence of a disease in a group exposed to a particular risk factor (RF) w/ the incidence in those not exposed to the RF; an RR 1 means that the event is more likely in that group
odds ratio
used in case-control (retrospective) studies; compares rate of exposure among those w/ & w/o disease; considered less accurate than RR
Absolute risk reduction (ARR) or attributable risk
measures risk accounted for by exposure to a given factor, taking into account the background of the disease; useful in RCTs; numerically, ARR=the absolute risk (rate of adverse events) in placebo group minus absolute risk in treated pts
relative risk reduction (RRR)
used in RCTs; the ratio between 2 risks; numerically, RRR=[the event rate in control pts minus event rate in experimental pts] divided by the event rate in control pts
***can be deceptive & is clinically far less important than ARR
number needed to treat (NNT)
the number of pts who would need to be treated to prevent 1 event; NNT=1/ARR
statistical significance/p-value
expresses likelihood that an observed outcome was due to random chance; a p-value <0.05 is gen. accepted as indicating that an outcome is statistically significant
confidence interval (CI)
like the p-value, expresses certainty that observation is real or is a product of random chance; used with ORs & RR, the 95% CI says that the observed risk or odds have a 95% chance of being w/in the interval
***if a 95% CI includes 1.0, the results are NOT significant