Stats Flashcards

1
Q

Define case control study

A

Match groups of affected people with unaffected people and retrospectively assess risk factors/exposures

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2
Q

Define retrospective and prospective cohort study

A

Retrospective - taking group of affected people and looking at previous RFs/exposures
Prospective - take group of unaffected people and follow over time for risk factors/exposures and development of disease

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3
Q

Define sample bias

A

Group of selected patients don’t accurately represent the population (ie tertiary hospital setting)

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4
Q

Define participation bias

A

Volunteers for clinical trials often don’t represent general population

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5
Q

Define measurability bias

A

Trial investigators not being blinded to intervention and therefore may skew results to become meaningful

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6
Q

Recall/reporting bias

A

Problem with retrospective trials, exposure history may not be accurately recalled or reported

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7
Q

Exclusion bias

A

Drop outs not being included in results

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8
Q

What percentage of data points are one standard deviation away from the mean? Two? Three?

A

1 SD = 67%
2 SD = 95%
3 SD 99.7%

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9
Q

Equation for standard error of the mean

A

Standard deviation / sqroot(sample size)

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10
Q

What is p-value definition?

A

Probability that result occurred by chance

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11
Q

What is type 1 error?

A

Incorrectly rejecting the null hypothesis (false positive)

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12
Q

What is type 2 error?

A

Missing a true correlation due to an underpowered study (false negative)

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13
Q

Calculation for RR

A

RR = Risk (exposed) / Risk (control)

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14
Q

Calculation for ARR

A

ARR = Risk (control) - Risk (exposed)

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15
Q

Calculation for NNT

A

1 / ARR

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16
Q

Odds equation for intervention group

A

Odds (intervention) = n (affected in intervention group) / n (unaffected in control group)

17
Q

Odds equation in control group

A

Odds (control) = n (affected in control group) / n (unaffected in intervention group)

18
Q

Odds ratio equation

A

Odds (intervention) / odds (control)

19
Q

Define sensitivity

A

Proportion of people that have disease that correctly test positive

20
Q

Define specificity

A

Proportion of people that don’t have the disease that correctly test negative

21
Q

Positive likelihood ratio equation

A

Sensitivity / (1 - specificity)

22
Q

Negative likelihood ratio equation

A

(1 - sensitivity) / specificity

23
Q

Does likelihood ratio use odds or probability?

A

Odds

24
Q

Equation for pre-test odds

A

Pre-test prob / (1 - pre-test prob)

25
Q

Equation for post-test probability

A

Post-test odds / (1 + post-test odds)

26
Q

Calculation for post test odds

A

Pre-test odds x LR

27
Q

Pre-test probability is the same as

A

Prevalence