Biostats/Ethics Flashcards

1
Q

good screening test

A

sensitive tests (negative results are reliable)

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2
Q

PPV increases as

A

prevalence increases

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3
Q

negative predictive value is most useful when

A

prevalence is low

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4
Q

null hypothesis

A

by chance

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5
Q

goal of research

A

reject the null hypothesis

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6
Q

the chance the null hypothesis was rejected due to error

A

p value

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7
Q

type 1 error

A

p value - rejected the null hypothesis in error

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8
Q

type 2 error

A

accepted the null hypothesis in error (deemed study not significant even though it was)

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9
Q

internal validity reflects

A

accuracy

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10
Q

external validity reflects

A

generalizability

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11
Q

whether a test actually measures what it is intended to measure

A

validity

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12
Q

consistency or repeatability of scores

A

reliability

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13
Q

absolute risk reduction

A

rate in untreated group - rate in treated group

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14
Q

number needed to treat

A

1/rate in untreated - rate in treated (1/ARR)

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15
Q

number of newly diagnosed cases in a period of time

A

incidence

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16
Q

total number of cases that exist in a population

A

prevalence

17
Q

strongest to weakest studies

A

randomized controlled, cohort, case-control, cross-sectional, case study

18
Q

comparing a group with an exposure to a group without an exposure

A

cohort study

19
Q

limitations of cohort study

A

requires large sample size, expensive and requires a long time period

20
Q

check for risk factors in a patient with the disease and a patient without

A

case-control study

21
Q

study that is useful with small sample sizes, long latency periods or rare outcomes

A

case-control studies

22
Q

observational study looking for associations between two factors at one point in time

A

cross-sectional study

23
Q

conditions that growth hormone is FDA approved for

A

prader-willi, Turner syndrome and chronic renal insufficiency

24
Q

near miss

A

an error that does not cause harm

25
Q

sentinel event

A

unexpected death or serious injury during medical care

26
Q

statistical parameter that refers to how well a test correctly identifies those in a population with a given disease

A

sensitivity

27
Q

parameter that identifies how well a test rules in those in a population who have a given disease

A

specificity

28
Q

measure that helps determine the usefulness of a screening test

A

positive predictive value