ClinEpi Flashcards

1
Q

Risk difference

A

risk (incidence) of a disease in one group minus risk (incidence) of a disease in another group

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2
Q

Attributable risk

A

Ie - Iu

  • Ie = incidence in exposed
  • Iu = incidence in unexposed

Attributable risk is the risk difference when referring to factors that increase the risk of disease.

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3
Q

Attributable risk percent (AR%)

A

(Ie-Iu)/Ie

  • Ie = incident in exposed
  • Iu = incidence in unexposed

Attributable risk percent is the percent of risk in the exposed group that is attributable due to the exposure.

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4
Q

Absolute Risk Reduction (ARR)

A

ARR = Ic - Irx

  • Ic = incidence in control group
  • Irx = incidence in treatment group

Absolute risk reduction is the risk difference in context of treatment effects.

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5
Q

Relative Risk (RR)

A

RR = Ie/Iu (or Irx/Ic)

  • Ie = incidence of exposure
  • Iu = incidence without exposure
  • Irx = incidence in treated group
  • Ic = incidence in control group
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6
Q

Relative Risk Reduction (RRR)

A

RRR = Ic - Irx/Ic

RRR = ARR/Ic

  • Ic = incidence in control group
  • Irx = incidence in treated group

Percentage of baseline risk that is removed as a result of general therapy.

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7
Q

Number needed to treat (NNT)

A

NNT = 1/(Ic - Irx)

NNT = 1/ARR

How many patients need to be treated to prevent one outcome event.

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8
Q

Standard Deviation

A

The measure of the degree of variability in individual measurements in a study.

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9
Q

Standard error

A

The measure of dispersion of sample means around the population mea (the amount of variability in the overall mean).

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10
Q

Null hypothesis (Ho)

A

States that there is no difference in outcomes between comparison populations.

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11
Q

Type I error

A

false +

(think that there is a difference but there is not)

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12
Q

Type II error

A

false negative

(think that there is no difference but there is one)

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13
Q

P value

A

probabiliyt of finding an outcome as extreme or more extreme than the one we found assuming the null hypothesis is true

“how likely it is that this is all chance”

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14
Q

Confidence interval

A

calculated ange of values surrounding the point estimate that are consistent with the true effect (95% confidence interval for which there is a 95% chance that it contains a true value of difference). It is statistically significant if null value is not crossed.

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15
Q

Statistical power

A

Study’s ability to detect a difference assuming that a real difference exists.

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16
Q

Clinical importance

A

The salience of finding for clinical practice and is related to the magnitude of the finding, taking into account the seriousness of the outcome and the prevalence of the condition.

17
Q

Test Statistic

A

effect size X sample size /SD

great test statistic lower p value

18
Q

Is a statistically significant result always clinically significant?

A

NO. Clinical significance must be assessed by clinician in regard to magnitude of the effect, seriousness of the outcome and prevalance fo the condition.