biostat Flashcards

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1
Q

likelihood ratio

A

+; sen/1-speci

-:(1-sen)/speci

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2
Q

intention to treat

A

keeps randomization

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3
Q

dependent and independent variables and study type

A

qual: chi-square, logistic regression —-t-test, anova, linear regression

quan; logistic regression————-correlation, linnear regression

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4
Q

fatality vs mortality rate

A

fatality in a perticular population ( in Heart attach and using a procedure ) mortality is that procedure in general population

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5
Q

ascertainment bias

A

study pupolation is differ from target population due to nonrandom selection methos

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6
Q

berkson bias

A

disease studied using only hospital based population

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7
Q

prevalance bias

A

or neyman, exposure happen long before disease assessment can cause study to miss disease patients that die or recover

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8
Q

attrition bias

A

significant losss of sudy participant

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9
Q

primary secondary tertiary and quanternary preventions

A

second+ comlications and irreversiible pathological changes,
tertiary; limit the impairment and disabilities,
quaternary ;unnecessary and excessive interventions by the health care, (medical record to limit the unnecessary repeat cardiac catheterization)

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10
Q

mcneamer test

A

patinet their own control

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11
Q

HOW TO find the modifier

A

stratification(two groups ) analysis

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12
Q

liklihood ration

A

the probability of an indevidual with disease testing positive divided by the probability of an individual without the disease testing positive

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13
Q

Hawthorne effect

A

awareness of the participation impact the behavior

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14
Q

the opposite of intention to treat

A

pre portocol

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15
Q

standardized mortality

A

whatever wwith standardiezed at first = what happened vs EXPECTED

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16
Q

external validity and internal validity

A

internal validity : up when the study becomes more controlled and down if the study becomes more like the real world,
confounding, history , maturation, measurement, regression towards the mean, repeated testing, selection

External validity : down with tightly controlled, and up if becomes more like the real world,
artificial research environment, measurement effect, nonrepesentative sample,