epi/biostats Flashcards

1
Q

cross-sectional study

A

collects data from group to assess disease frequency, risk factors at a particular time. can show dz prevalence

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2
Q

case-control

A

compares a group with dz to group w/o dz, looks for prior event or risk factor. -> odds ratio

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3
Q

cohort

A

prospective or retrospective. compares a group with a risk factor/exposure to a group without to see if exposure is associated with incr. dz prevalence. -> relative risk

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4
Q

twin concordance

A

compares frequency of monozygotic and dizygotic twins developing same dz. -> heritability vs. environmental factors

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5
Q

adoption study

A

compares siblings raised by biological vs. adoptive parents. -> heritability vs. environmental factors

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6
Q

phase I trial

A

small n of healthy volunteers. -> safety, toxicity, pharmacokinetics, pharmacodynamics

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7
Q

phase II trial

A

small n of pts w/dz. -> treatment efficacy, optimal dosing, adverse effects

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8
Q

phase III trial

A

large n of pts, randomly assigned to tx vs. placebo. -> compares tx to standard of care

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9
Q

phase IV trial

A

postmarketing surveillance of pts after tx is approved. detects rare or long-term adverse effects.

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10
Q

sensitivity

A

= true positive rate. important for screening tests. = TP/(TP+FN) = 1-false neg rate. SN-N-OUT = highly sensitive, when negative, rules out dz

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11
Q

specificity

A

= true negative rate. important for diagnostic tests. = TN/(TN+FP) = 1-false positive rate. SP-P-IN = highly specific, when positive, rules in dz

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12
Q

positive predictive value

A

=proportion of positive results that are true positives. = TP/(TP+FP). PPV varies w/prevalence/pretest probability

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13
Q

negative predictive value

A

=proportion of negative results that are true negatives = TN/(TN+FN). NPV varies inversely w/prevalence/pretest probability.

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14
Q

incidence vs. prevalence

A

incidence = new cases (incidents). prevalence looks at all current cases. prevalence = incidence (almost) for short duration dz, e.g. common cold. prevalence + pretest probability (almost)

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15
Q

odds ratio

A

case controls. odds that the dz group has target exposure divided by odds that dz free group was exposed

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16
Q

relative risk

A

cohorts. risk of dz in exposed group divided by risk of dz in unexposed group.

17
Q

attributable risk

A

difference in risk vetween exposed and unexposed groups

18
Q

relative risk reduction

A

proportion of risk reduction attributable to intervention as compared to the control

19
Q

absolute risk reduction

A

difference in risk (not proportion) attributable to the intervention as compared to a control

20
Q

number needed to treat

A

number of patients who need to be treated for 1 patient to benefit = 1/ARR

21
Q

number needed to harm

A

number of patients who need to be exposed to a risk factor for 1 patient to be harmed = 1/AR

22
Q

type 1 error (alpha)

A

false positive error

23
Q

type 2 error (beta)

A

false negative error

24
Q

t test

A

compares mean of 2 groups

25
Q

ANOVA

A

compares means of more than 2 groups

26
Q

chi-square

A

compares 2 or more percentages or proportions of categorical outcomes, not means. chi-tegorical