HaDPop Flashcards

1
Q

Define incidence rate

A

Number of new cases, per year, per population IR = new events/(number of people x time)

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2
Q

Define incidence rate ratio

A

Comparing the risk of 2 populations (relative risk)

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3
Q

Define prevalence

A

Measure of the number of people who currently have the disease Prevalence = number of cases/population

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4
Q

What does a p value of

A

The likelihood of value occurring by chance is

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5
Q

What is the 95% confidence interval

A

95% certainty that the true value lies within confidence interval If null hypothesis value inside 95% CI then p>0.05 If null hypothesis value outside 95% CI then p

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6
Q

How do you calculate CIs?

A

Lower bound = IRR/error factor Upper bound = IRR x error factor Error factor = exp (2 x (1/d))

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7
Q

Describe a case control study

A

Start with cases of disease, then get controls for each case (up to 6) Investigate exposure of interest Compare using odds ratio

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8
Q

How do you calculate odds ratio?

A

OR = ad/bc

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9
Q

Define incidence

A

Number of new cases in a given time (absolute risk)

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10
Q

What are the strengths of case-control study?

A

Quick and relatively inexpensive

Possible to look at lots of different exposures in detail

Good for rare outcomes

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11
Q

What are the weaknesses of case-control studies?

A
  • Not good for rare exposures
  • Prone to information bias and selection bias
  • Can be impossible to determine whether disease causes exposure or vice-versa
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12
Q

Describe a cohort study

A
  • Compares risk in one group with risk of another group (e.g. Group exposed to asbestos compared to group not exposed to asbestos)
  • Follow up disease free individuals over time
  • Comparisons made using IRR or SMR (if using reference population)
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13
Q

What are the strengths of a conort study?

A
  • Allos for detailed and prospective assessment of exposures, outcomes, confounders
  • Good for rare exposures and establishing temporal sequence
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14
Q

What are the weaknesses of cohort studies?

A
  • Study and reference populations may not be comparable due to selection bias - e.g. The healthy worker effect
  • Often there is limited data on reference population
  • Large, time consuming and resource intensive
  • Survivor bias
  • Not good for rare diseases
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15
Q

Describe a radomised control trial

A
  • Clinical trial in which interventions are studied
  • Allocate imdividuals into two groups matching sex, age, social class to minimise confounders
  • Give one group intervention, give other group placebo or original drug
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16
Q

What can cause one treatment to be more successful in a RCT than another?

A
  • Chance - minimised with long run trials
  • Patient knows treatment - minimised by blinding
  • Treating clinician knows treatment - minimised by blinding
  • assessor/investigator knows treatment - minimised by blinding
  • One treatment genuinely more effective
17
Q

Describe the placebo effect

A
  • Psychological benefit that derives from, being looked after, cared for more carefully or being on a new ‘special’ treatment
18
Q

What is intension to treat analysis?

A
  • All people in trial are included in analysis, regardless of whether they took treatment or not, or partially completed treatment
  • Prwserves true randomisation and elimiating confounding factors
19
Q

Define the Bradford Hill criteria

A
  • S = strength of association
  • S = specificity of association
  • C = consistency of association
  • T = temporal sequene
  • D = dose response
  • R = reversibility
  • B = Biological plausibility
  • C = coherence of theory
  • A = analogy
20
Q
A