Biostats Flashcards

1
Q

Type 1 error

A
  • finding a difference when one doesn’t really exist

- alpha = 0.05

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2
Q

Type 2 error

A
  • not finding a difference when one exists

- beta = 0.2

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3
Q

Power =

A

1 - beta

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4
Q

Tests - continuous variables, 2 groups

A
  • t-test (parametric)

- Mann Whitney U or Wilcoxon Rank (nonparametric)

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5
Q

Tests - continuous variables, 3 or more groups

A
  • ANOVA (parametric)

- Kruskal Wallis (nonparametric)

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6
Q

Tests - categorical variables

A
  • Chi square

- Fisher’s exact (< 5 subjects in a square)

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7
Q

Tests - linear regression

A
  • dependent variable = continuous
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8
Q

Tests - logistic regression

A
  • dependent variable = dichotomous
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9
Q

Relative Risk (RR)

A
  • compares probability in each group

- used in prospective cohort studies, RCTs

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10
Q

Odds Ratio (OR)

A
  • used in case control studies

- reflects RR when probability of disease is low (~10%)

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11
Q

RR =

A

a/(a + b) / c/(c + d)

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12
Q

OR =

A

(a / c) / (b / d) OR (a x d)/(b x c)

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13
Q

NNT =

A

1 / ARR (absolute risk reduction)

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14
Q

ARR =

A

risk of outcome in control group - risk of outcome in intervention group

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15
Q

Sensitivity =

A

a / (a + c)

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16
Q

Specificity =

A

b / (b + d)

17
Q

Sensitivity

A
  • proportion of people with disease who have a positive test
  • good to rule out disease (SNOUT)
  • screening test
18
Q

Specificity

A
  • proportion of people without disease who have a negative test
  • good to rule in disease (SPIN)