L2- Clinical Epidemiology Intro Flashcards

1
Q

define EBM

A

(evidence based medicine)

application of clinical epidemiology to the care of individual patients

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2
Q

compare ordinal to nominal

A

in ordinal, order is essential

in nominal order doesn’t matter and is arbitrary

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3
Q

define mode, in terms of distribution curve

A

the most frequently occurring data point

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4
Q

SD = ____________

A

(standard deviation)

SD = sqrt(Variance)

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5
Q

plus or minus one SD from the mean includes __% of all data points

A

68% (34% either direction from mean)

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6
Q

plus or minus two SD from the mean includes __% of all data points

A

95% (47.5% either direction from mean, 13.5% beyond one SD in either direction)

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7
Q

plus or minus three SD from the mean includes __% of all data points

A

99% (2% beyond two SDs in either direction)

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8
Q

a negatively skewed distribution can also be called…. (2 names)

A

Right Modal
Left Skewed
(peak is towards R side)

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9
Q

a positively skewed distribution can also be called…. (2 names)

A

Left Modal
Right Skewed
(peak is towards L side)

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10
Q

negative skewed distribution has a peak towards (R/L) side

A

Right side (Right Modal, Left Skewed)

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11
Q

positively skewed distribution has a peak towards (R/L) side

A

Left side (Left Modal, Right Skewed)

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12
Q

describe order of mean, median, and mode values in a symmetrical distribution

A

mean = median = mode

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13
Q

describe order of mean, median, and mode values in a positively skewed distribution

A

mode < median < mean

L sided peak

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14
Q

describe order of mean, median, and mode values in a negatively skewed distribution

A

mean < median < mode

R sided peak

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15
Q

a data set with two peaks is called….

A

bimodal distribution

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16
Q

validity refers to (accuracy/precision)

A

accuracy (is measurement representative of its actual value)

17
Q

reliability refers to (accuracy/precision)

A

precision (consistency, reproducibility- extent that repeated measurements are accurate)

18
Q

what are some sources of variation in clinical measurements

A

Biological variation: within individuals (intra-variability), between individuals (inter-variability)

Measurement variation: instrumental, observer