Behavioral Science Flashcards
Odd Case
observational and retrospective
Compares a group of people with disease to a
group without disease.
Looks for prior exposure or risk factor.
Asks, “What happened?”
Odds ratio-ad/bc
Relative Cohort
a group of people that all have something in common. no one has disease of interest
Compares a group with a given exposure or risk
factor to a group without such exposure.
Looks to see if exposure t the likelihood of
disease.
Can be prospective (asks, “Who will
develop disease?”) or retrospective (asks,
“Who developed the disease [exposed vs.
non exposed]?”).
Relative risk=a/(a+b)//c/(c+d)
Cross sectional
prevalence study
Disease prevelance. Snap shot of population at a given time.
Collects data from a group of people to assess
frequency of disease (and related risk factors)
at a particular point in time.
Asks, “What is happening?”
Can show risk factor association with disease, but
does not establish causality.
Clinical trial
I-is it safe (sm number of healthy pts)
II-does it work (sm # of pts with disease)
III-does it work better (comparison) large population
IV-rare or long term adverse effects
Cross over study
subjects are randomly allocated to a sequence of 2 or more tx given consecutively. Pts serve as their own controls. Drawback of crossover trials is that the effects of tx 1 may carry over and alter the response of the subsequent tx. A “washout” period helps with this.
limits confounding bias
Sensitivity
Used for screening test with low prevalence.
=1-FN rate
SNOUT= Sensitivity rules OUT
Specificity
Used for confirmatory test after a positive screening test.
=1-FP
SPIN=specificity rules IN
PPV
PPV varies directly with prevalence or pretest
probability: high pretest probability–>high PPV
NPV
NPV varies inversely with prevalence or pretest
probability: high pretest probability–>low NPV
Attributable risk
The difference in risk between exposed and
unexposed groups, or the proportion of
disease occurrences that are attributable to the
exposure
a/(a+b)–c/(c+d)
Number needed to tx
Number of patients who need to be treated for 1
patient to benefit. Calculated as 1/absolute risk
reduction.
Absolute risk reduction
c/(c+d)–a/(a+b)
Absolute reduction in risk associated with a
treatment as compared to a control
Number needed to harm
Number of patients who need to be exposed
to a risk factor for 1 patient to be harmed.
Calculated as 1/attributable risk.
Precision
The consistency and reproducibility of a test
(reliability).
The absence of random variation in a test.
Random error-reduces precision in a test.
Inc precision–> dec standard deviation.
Accuracy
The trueness of test measurements (validity). The
absence of systematic error or bias in a test.
Systematic error-reduces accuracy in a test.
Sampling bias
Subjects are not representative of the general
population; therefore, results are not
generalizable. A type of selection bias.