Week 3 - Epi II Flashcards

1
Q

What is Sensitivity?

A

Sensitivity (Sn):

  • correctly identify as diseased those actually with disease.
    • Positive in Disease
  • Is 1 – false neg rate.
  • Denominator = condition present

Use a high Sensitivity to rule out

  • Snout: If 100% Sensitive, all (-) are True Negatives
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2
Q

What is Specificity?

A

Specificity (Sp):

  • correctly identify as non-diseased those actually without the disease
  • Negative in Health
  • 1 – false pos rate
  • Denominator = condition absent

Use a high Specificity to Rule in

  • Spin: If 100% Specific, all (+) are True Positives
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3
Q

What is Predictive Value (+)?

A

Predictive Value (+):

  • proportion true + of those screening as +
  • Denominator = test positive

Probability that person actually has disease, given a pos test result

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4
Q

What is Predictive Value (-)?

A

Predictive Value (-):

  • proportion true - of those screening as –
  • Denominator = test negative

Probability that person actually not have disease, given neg test result

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5
Q

What are the 3 ways to measure Risk?

A
  1. Absolute Risk
    • Incidence of disease in group initially free of condition
    • new cases ratio
      • new cases/group
  2. Attributable Risk
    • Incidence of disease attributable to exposure
    • subration
      • exp - non-exp
  3. Relative Risk
    • How many times more likely exposed develop disease relative to non-exposure
    • division
      • exposed/non-exposed
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6
Q

Number Needed to Treat (NNT) vs. Number Needed to Harm (NNH)

A

Number Needed to Treat (NNT)

  • NNT = 1 / Absolute Risk reduction
  • # needed to tx to prevent 1 case

Number Needed to Harm (NNH)

  • 1 / Absolute Risk increase
  • # needed to tx to cause 1 extra case
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7
Q

When should we use Relative Risk (RR)?

A

Cohort studies

  • 2 groups to start:
    • exposed & not exposed
    • cases/conditions develop or appear over time

RR determines how much more likely exposed develop disease compared to non-exposed

————————

How to calculate:

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

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8
Q

When should we use an Odds Ratio (OR)?

A

Case Control studies

  • 2 groups to start:
    • cases & not cases (controls)

OR determines relative freq of exposure among cases and non-cases

  • Odds that a case is exposed divided by odds that a control is exposed

————————

How to calculate:

OR = ad/bc

  • If OR >1 = freq of exp higher among cases thus increased risk
  • If OR <1 = freq of exp lower among cases, thus decreased risk or ‘protection’

The stronger the association, the higher the OR

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9
Q

Continuous vs. Categorical Variables

A

Continuous = T-test (group 1 mean vs. group 2)

  • Appropriate for quantification
  • Infinite scale
    • body weight
    • height
    • BP in mm Hg
  • If limited to integers —> Discrete
    • # cigs/day
    • # children
    • visits
    • days

Categorical = Chi Squared (group A vs group B)

  • Not appropriate for quantification
  • Classified, categories, bins
    • BMI as ↑ or ↓
    • Height as tall or short
    • BP as hypo or hypertensive
    • Race, Gender, Eye Color
  • If 2 possible values → Dichotomous
    • dead or alive
  • If categories not ordered → Nominal
    • blood type
  • If categories ordered → Ordinal
    • mild, moderate, or severe
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