Ethics/Statistics Flashcards

1
Q

can you perform practice procedures on a newly deceased patient

A

Yes, but you must gain permission from patient before dying or a patient’s family member

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2
Q

what is information bias

A

bias introduced by imprecise measurement methods of exposure or outcome

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3
Q

difference between two sample t-test and two sample z-test

A

t-test compares means between two samples

z-test compares means between two populations (not frequently used)

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4
Q

what is ANOVA

A

Analysis of Variance: used to compare three or more means

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5
Q

what is the chi square test used for

A

to compare categorical data or proportions

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6
Q

what are the equations for relative rate and odds ratio

A

RR= [(a/a+b)/(c/c+d)]

OR=ad/bc

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7
Q

how do you calculate attributable risk percentage

A

ARP= (relative risk - 1) / (relative risk)

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8
Q

what is selective survival bias

A

seen in case control studies; selecting patients from the entire population as opposed newly diagnosed patients will give you a higher proportion of patients with less severe disease since most of the severe cases would have died already

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9
Q

what happens to the PPV and NPV of a test if a population has a high prevalence of the tested disease?
what about if a population has low prevalence of the tested disease?

A

high prevalence population: PPV increases, NPV decreasese (since with a neg test you would still suspect diseas)

low prevalence population: PPV decreases, NPV increases

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10
Q

what’s a quick and easy way to distinguish effect modification from confounding?

A

stratify by the proposed confounder; if there is no association in either of the stratified groups then the variable you stratified by was a confounder

if you stratify by the variable and there is a strong association found btwn exposure and outcome in one group but not the other than there was likely an effect modification

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11
Q

explain a factorial design

A

2 or more interventions are studied, with 2 or more independent variables studied within each intervention

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12
Q

explain cluster analysis

A

involves grouping different data into similar categories or randomization at the level of groups rather than individuals

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13
Q

what is Berkson bias

A

a form of selection bias in which studies conducted using hospital patients as sample are unrepresentative of entire population

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14
Q

what is attrition bias

A

a form of selection bias in which a significant amount of subjects are lost to follow up and may differ from those who remain

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15
Q

what kind of bias should you think of when you see a new screening test for a poor-prognosis disease (e.g. cancer)

A

lead-time bias

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16
Q

if a minor requires urgent or emergent care and the parents have joint custody, but one refuses the care what should you do

A

proceed with care; for joint custody cases only one parent’s consent is needed

17
Q

what is the most important tool for decreasing medical errors due to failures of communication between physicians in sign-out?

A

implementing a sign-out checklist

18
Q

a child needs chemo for ALL, but the parents refuse the treatment, what do you do?

A

obtain a court order; in the U.S. parents are not allowed to refuse life-saving treatment for their children (including for religious reasons)

19
Q

a patient with a highly contagious disease does not want to stay in the hospital to be treated; what do you do

A

hospitalize against his/her will (court order not needed as this is a public health threat)

20
Q

what is prevalence odds ratio and in what kind of study is it used?

A

used in cross-sectional studies to compare prevalences between two populations

21
Q

how do you determine the median of a number set with an odd number of items?
even number?

A

odd: the median is the number that splits the number set exactly in half (located exactly in the middle)
even: the median is the average of the two middle numbers

22
Q

what it type II error?

A

type II error=beta; think of the mnemonic “blocking”; type II error occurs when the study misses a true effect and incorrectly accepts the null hypothesis

23
Q

what is type I error?

A

type I error=alpha; think of mnemonic “assumes”; type I error occurs when the study picks up an effect/ association that isn’t really there in actuality
the null hypothesis is incorrectly rejected

24
Q

what is power in terms of either alpha or beta?

A

power= 1 - beta

25
Q

what does the confidence interval tell you about statistical power

A

the narrower the confidence interval, the greater the statistical power

26
Q

define statistical power

A

power is the probability of finding a difference that truly does exist

27
Q

define primary, secondary and tertiary prevention

A

primary: preventing a disease (decreasing incidence)
secondary: early detection and slowing progression
tertiary: mitigating morbidity and mortality/ reducing complications