Statistics Flashcards

1
Q

What is sensitivity and how is it calculated?

A
  • How good is a test for the condition of interest.
  • True positive rate.
  • Negative result in high sensitivity test useful for rulng condition out.
  • Sens = T+/(T+ + F-)
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2
Q

What is specificity and how is it calculated?

A
  • How good is a test for the condition of interest?
  • True negative rate.
  • Positive result in highly specific test useful for ruling in disease.
  • Spec = T-/(T- + F+)
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3
Q

What is a positive predictive value and how is it calculated?

A
  • How good is the test?
  • If the test is positive what is the chance of the patient having the disease?
  • PPV = T+/(T+ + F+)
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4
Q

What is a negative predictive value

A
  • How good it the test?
  • If the test is negative what is the chance the patient does not have the disease?
  • NPV = F-/(F- + T-)
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5
Q

What is a likelihood ratio and how is it calculated?

A
  • Assess the value of performing a diagnostic test.
  • Use sensitivity and specificity to determine whether test result usefully changes the probability that a condition exists.
  • +LHR = sensitivity/(100% - specificity)
  • -LHR = (100% - sensitivity)/specificity
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6
Q

What is incidence?

A
  • Incidence is a rate –> cases per 5 years.
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7
Q

What is prevalence?

A
  • Prevalence is a cross section in time.
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8
Q

What is relative risk and how is it calculated?

A
  • Ratio of an outcome between 2 exposures.
  • Probability of an event occurring in an exposed group compared to an unexposed group.
  • RR = (a/a+b)/(c/c+d)
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9
Q

What is odds ratio and how is it calculated?

A
  • Odds like the TAB.
  • Event occurring:event not occurring.
  • Does not take in to account total events.
  • Useful when population risk unknown.
  • With low prevalence OR ~ RR.
  • OR = ad/cb
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10
Q

What is the absolute risk and how is it calculated?

A
  • Real difference in absolute terms between 2 groups.

- AR = (c/c+d) - (a/a+b)

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11
Q

What is a type I error?

A
  • a error
  • False positive.
  • Reject the null hypothesis when it is actually true.
  • p-value quantifies risk of rejecting the false hypothesis.
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12
Q

What is a type II error?

A
  • b error
  • False negative.
  • Fail to reject the null hypothesis when it should have been rejected.
  • Greatest risk of making type II error is underpowering.
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13
Q

What determines the power of a test?

A
  • Population size.
  • Size of effect.
  • Variance within populations.
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14
Q

What is phase 0 of a drug trial?

A
  • PK and PD in humans.

- Small sub-therapeutic doses given.

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15
Q

What is phase 1 of a drug trial?

A
  • Safety.
  • Small number.
  • Safe dosing and adverse affects.
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16
Q

What is phase 2 of a drug trial?

A
  • Safety and efficacy.
  • 2a dosing requirements.
  • 2b efficacy.
  • Also test toxicity.
17
Q

What is phase 3 of a drug trial?

A
  • Confirmation of safety and efficacy.
  • Large numbers.
  • Vs. placebo RCTs - often >1.
  • Input from licensing committees.
18
Q

What is phase 4 of a drug trial?

A
  • Contiuned pharmacovigilance.
  • New uses/populations.
  • Paediatrics.
  • Interactions.
19
Q

What are case control studies used for?

A
  • Used to estimate the odds (OR) of developing the studied condition/disease.
  • Can determine if there is an associational relationship between condition and risk factor.
  • Cannot establish causality.
20
Q

What are randomised controlled trials used for?

A
  • “Gold standard” in medical research.
  • Best for answering questions about effectiveness of different therapies or interventions.
  • Widely considered the gold standard for establishing causality.
21
Q

What are cohort studies used for?

A
  • Establish causation of a disease or evaluate the outcome/impact of treatment.
  • Used when randomised controlled clinical trials are not possible.