stats/research Flashcards

1
Q

sensitivity

A

few false negatives, good screening test.

TP/(TP+FN)

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2
Q

specificity

A

few false positives.

TN/(TN+FP)

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3
Q

PPV

A

prob that someone who tests positive has the disease

TP/(TP+FP)

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4
Q

NPV

A

prob that someone who tests negative does not have the disease
TN/(TN+FN)

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5
Q

type I error

A

reject null hypothesis in error - think something is significant when it really isn’t

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6
Q

type II error

A

accept null hypothesis in error - think something isn’t significant when it really is

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7
Q

validity

A

whether test measures what it’s intended to.
internal validity = accuracy
external validity = generalizability

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8
Q

reliability

A

consistency of results from a test

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9
Q

intention to treat

A

all patients must remain in the group to which they were randomly assigned - maintains power

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10
Q

NNT

A
NNT = 1/absolute risk reduction
ARR = rate in untreated - rate in treated
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11
Q

incidence

A

number of newly diagnosed cases

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12
Q

prevalence

A

total number of cases existing at a given time

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13
Q

likelihood ratio

A

likelihood that a person with condition will have a positive test.

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14
Q

relative risk

A

probability of outcome in exposed group vs unexposed group

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15
Q

odds ratio

A

odds of an outcome in exposed vs unexposed group

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16
Q

cohort study

A

comparison of group with exposure to control w/o exposure

needs large sample size and long time, can lose people to follow up

17
Q

case control

A

start with patients with and without DISEASE and check for hx of risk factors

18
Q

cross sectional study

A

looking at associations at one point in time

19
Q

longitudinal studies

A

studying one gropu over time

20
Q

systematic review

A

summarizes articles on one topic

  • specific clinical question
  • thorough search for studies
  • clear explanation for which studies were considered
  • descriptive results section summarizing
21
Q

meta-analysis

A
  • summary statistic using data from all studies
  • report whether combining all statistics is possible
  • assess for publication bias