EBCP Flashcards

(48 cards)

1
Q

Incidence x duration

A

Prevalence

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2
Q

Incidence

A

of new cases in population at risk/unit time

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3
Q

Prevalence = incidence

A

Acute diseases

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4
Q

Prevalence > incidence

A

Chronic diseases

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5
Q

Quantitative measurement of disease

A

Morbidity

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6
Q

Quantitative measure of death

A

Mortality

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7
Q

Probability of developing a disease/complication within a given time interval

A

Risk

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8
Q

A variable or exposure that decreases the probability of developing a disease

A

Protective factor

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9
Q

Ratio of incidence rates in two groups being compared

A

Relative Risk (RR)

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10
Q

Relative Risk =

A

incidence of exposed group/incidence of non-exposed group

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11
Q

RR = 1

A

No difference in risk

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12
Q

RR > 1

A

factor increases risk

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13
Q

RR<1

A

Factor decreases risk

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14
Q

Looks for associations within a population at one point in time

A

Cross-sectional study

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15
Q

Estimates prevalence, but not incidence

A

Cross-sectional study

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16
Q

Uses odds ratio (OR)

A

Cross-sectional study, Case control

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17
Q

Starts with groups with a specified outcome and looks at associated exposures

A

Case control

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18
Q

Always retrospective

A

Case control

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19
Q

Starts with groups of specified exposure and looks at associated outcome

A

Cohort

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20
Q

May be retrospective or prospective

21
Q

Uses relative risk ratio

22
Q

Error that randomly varies from one measurement to another

A

Random errors: not accurate, not reliable

23
Q

Error that does not randomly vary, but moves measurements systematically away from their true value (bias)

A

Systematic errors: reliable but not accurate

24
Q

Precision. Data is reproducible. Related to random error.

25
Accuracy. Related to systemic error.
Validity
26
Categorical variables
Place individuals into groups. Described using % or proportions
27
Ordinal
Categorical variable: low, moderate, high
28
Nominal
Categorical variable: have names, no order
29
Dichotomous
Categorical variable: exactly 2 categories: yes or no
30
Continuous variables
Described using measures of central tendency (mean, median, mode) and measures of variability (standard deviation/error) Have numerical values for which arithmetic operations
31
Normal distribution
Mean = median = mode: mean is good measure of clinical tendencies
32
Right skew
mean > median > mode: median is good measure of clinical tendencies
33
Left skew
mean < median < mode: median is good measure of clinical tendencies
34
Bimodal distribution
Distribution with two peaks: modes are good measures of central tendency
35
Standard error
SD/sqrt(n). Accounts for reliability of measurement.
36
Assess statistical difference across groups
Chi-square
37
Assess statistical difference across small groups
Fisher's exact test
38
Comparing 2 groups, if groups have normal distribution (uses means)
T-test
39
Comparing 2 groups that do NOT have normal distribution (compares medians)
Wilcoxon-Mann-Whitney
40
Comparing 3 or more groups, does not require normal distributions
ANOVA
41
Type 1 Error
Identify difference between the groups when one does not exist: Rejecting a null hypothesis in favor or alternative when NULL is actually TRUE
42
Type 2 Error
Data fails to identify a difference between groups when one exists: Failing to reject the null hypothesis when the NULL is FALSE
43
P-value
Probability that difference between groups is due to chance alone. P-value < 0.05 = reject null hypothesis, significant
44
Alpha
Probability of committing a type 1 error.
45
Beta
Probability of committing a type 2 error. Beta = 0.10 or 0.20
46
Power
= 1 - beta. Probability of finding a difference between groups when a difference does exist = probability of rejecting the null hypothesis it is false
47
If CI excludes 0, we can reject null hypothesis when null hypothesis =
Mean 1 = Mean 2. Alternative hypothesis: Mean 1 =/= Mean 2
48
If CI excludes 1.00, we can reject the null hypothesis when null hypothesis =
RR=1, Proportion 1 = Proportion 2, Alternative hypothesis: RR =/= 1