EBM Flashcards

1
Q

preferred measure of central tendency for continous data with symmetric distributions

A

mean

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2
Q

sensitive to extreme values and biased based on the presence of outliers

A

mean

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3
Q

preferred measure of central tendency for skewed distributions or distributions with outliers

A

median

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4
Q

measures of variability

2

A
  • standard deviation
  • variance
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5
Q
  • difference between highest and lowest measurements
  • sensitive to extreme observations
A

range

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6
Q

best representation of variation when data points are clustered around and dispersed from the mean

A

standard deviation

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7
Q

measures of central tendency

3

A

mean
median
mode

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8
Q
  • utilized when researchers are trying to develop theory which necessitates taking an inductive approach
  • participants are purposively selected and have a variety of lived experiences
A

grounded theory

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9
Q

used when examining a single phenomenon

A

phenomenology

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10
Q

involves making inferences

A

deductive reasoning

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11
Q

gets into the details of how language is beings used

A

discourse analysis

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12
Q

embedding oneself in the setting and observing behavior

A

ethnography

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13
Q

used to compare the means between two groups

A

t-test

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14
Q

used to test for differences in proportions between 2 groups

A

chi-square test

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15
Q

compares means of a continous variable between two or more groups

A

ANOVA

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16
Q

most appropriate method for determining efficacy when analyzing RCTs

A

ITT

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17
Q

includes every subject who was randomized ignoring non-compliance, protocol deviations, withdrawal, etc.

A

ITT

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18
Q

approach that actually measures the beneficial effects of treatent in patients who complete treatment

A

per-protocol analysis

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19
Q

when a small degree of non-compliance is observed, the analytic sets for the ITT and per-protocol analysis

A

contain nearly the same subjects, resulting in minimal differences between the two

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20
Q

case-control study use […] ratio

A

odds

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21
Q

cohort or RCTs use […] ratio

A

hazard

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22
Q

confidence interval below 1 indicates

A

data are consistent with a statistically significant protective effect

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23
Q

observational study with forward directionality

A

cohort

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24
Q

useful to study diseases with a long latency period

A

case-control

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25
occurs when a third factor affects the magnitude of the relationship between the exposure and disease
effect modification
26
occurs when investigator inadvertently conveys their expectations to the subject, who then produces the expected result
Pygmallion effect
27
patients with severe disease are less likely to be studied because they are more likely to succumb to the disease before being studied
late look bias
28
best way to control confounding in a non-observational study
randomization
29
occurs when a third factor is either positively or negatively associated with both the exposure and outcome of interest
confounding
30
occurs when observer is aware of what exposure group the study subject has been assigned to
observer bias
31
occurs with earlier detection of a disorder which makes the prognosis seems better when in reality the disease was merely detected earlier
lead time bias
32
occurs when selected subjects are not representative of the population to be studied
selection bias
33
systematic bias in regard to classifying subjects
measurement bias
34
ability to use results from one study to draw conclusions about populations different than that used in the study
generalizability
35
occur when a study is conducted in very specific population and an attempt is made to apply findings beyond the represented population
problems with generalizability
36
the stricter the inclusion/exclusion criteria the less...
generalizable
37
can serve to improve the generalizability of specific study findings
meta-analysis
38
what measure of central tendency is least effected by outliers?
mode
39
stating there is an effect or difference when none exists
type I error
40
stating there is not an effect or difference when one exists
type II error
41
in order to minimize outcome switching and p-hacking..
only outcomes that are known or predicted to be associated with the patient's response to treatment should be collected
42
small sample size with just enough data to answer a limited question
QI project
43
large samples of data with additional data that may be analyzed later if needed
research
44
large data sets of all available data related to patient outcomes
accountability
45
focused on improving care for patients
QI projects
46
compares outcomes of different groups of patients or healthcare systems
accountability
47
focused on gaining new knowledge
research
48
seeks to eliminate bias
research
49
adjusts for bias
accountability
50
accepts bias as inherent to the process
QI
51
alway inherent to the process or system being studied
common cause variation
52
non-random results in an unpredictable system
special cause variation
53
due to irregular or unnatural causes
special cause variation
54
* random * results in predictable system * affects all outcomes in the process
common cause variation
55
the same [...] value can reflect different distribution of data
mean
56
midpoint value within the distribution of data
median
57
may not shift with different distributions of data and is not necessarily affected by sample size
mean
58
* organized around the median * simple bar graph * doesn't use statistical measures
run chart
59
* organized around the mean * used control limits (3 stan. dev from mean)
process control chart
60
three standard deviations from the mean or greater
special cause variant
61
lie within 3 standard deviations above or below the mean
common cause variants