Week 3- Compare Risks And Role Of Chance Flashcards

1
Q

Attributable Risk

A

Risk that is attributed to some harmful exposure

(Incidence in exposed)-(Incidence in unexposed)=AR

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2
Q

Attributable Risk Percent

A

(Ie-Iu)/Ie=AR/Ie=AR%

A quantity that allows you to say X% of cases of lung cancer in smokers could have been prevented by not smoking

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3
Q

Absolute Risk Reduction

A

Proportion of patients spared of an adverse outcome due to treatment

ARR = (Incidence in Control)-(Incidence in treated)

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4
Q

Relative Risk Ratio

A

RR = (Incidence exposed or Incidence Treated)/(Incidence unexp. Or incidence not treated)

Allows for the comparison between treated and untreated groups.

Ex: The risk of atrial fibrulation in those treated with Warferin is 1/3 the risk of those without treatment

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5
Q

Relative Risk Reduction

A

RRR = ARR/Ic = (Ic-Irx)/Ic Or RRR = 1 - RR

Percentage of baseline risk removed by a therapy

Ex: 67% of the baseline risk of 12 strokes per 100 persons per year can be removed as a result of Warfarin treatment.

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6
Q

Number Needed to Treat

A

NNT = 1/ARR

Number of patients that need to be treated to prevent 1 outcome event. Reciprical of ARR

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7
Q

Standard Error

A

SE = SD/(n)^.5

Tells you how different the groups means are

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8
Q

Null Hypothesis

A

H0 is the hypothesis that there is no diffference in outcomes of comparison populations

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9
Q

Type 1 Error

A

Alpha error, concluding there is a difference when there is not

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10
Q

Type 2 Error

A

Beta, failing to observe a difference when there is

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11
Q

P-value

A

The chance that results as extreme or more extreme will occur again (with a different population sample) assuming the H0 is TRUE.

Cutoff to reject H0 is generally 0.05 (researcher has a 5% chance of committing type 1 error)

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12
Q

Point Estimate

A

Specific numerical result estimate of a study

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13
Q

Confidence Interval

A

Calculated range of values surrounding the point estimate that are consistent with the true effect.

CI = mean +/- 2 stdev

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14
Q

Statistical Power

A

Study’s ability to detect a difference assuming that a difference does exist.

Probability of NOT making a type II error (1-B)

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15
Q

Clinical Importance

A

The salience of a 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.

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