Epi Comp Flashcards

1
Q

case-fatality rate

A

of cause specific deaths

of cases of disease

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2
Q

incidence (risk, attack rate)

A

of new cases of illness

of people at risk of illness (or in population)

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3
Q

prevalence

A

of existing cases of disease (old and new)

of total population

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4
Q

Absolute Risk Reduction

A

subtraction of 2 risks

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5
Q

Relative Risk Reduction

A

absolute risk reduction

Risk of unexposed

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6
Q

number needed to treat

A

1

ARR

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7
Q

Hills Criteria:

        1. 5.
A
  1. Strength: size of measure of association
  2. Consistency: reproducibility
  3. Temporality: cause precedes effects
  4. Biologic Gradients: presence of a gradient of risk (dose-response) assocaited with degree of exposure
  5. Plausibility: biological feasibility to the assocaiton
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8
Q

bioethics:

      1. 4.
A
  1. Autonomy: self-rule/self-determination ; no coercion ; understanding of risks
  2. Beneficence: benefit individual patients (not society)
  3. Justice: fair treatment regardless of patient characteristics
  4. Nonmaleficence: do no harm (researchers cannot withhold information)
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9
Q

NHANES

A

National Health and Nutrition Examination Survey

assess the health and nutritional status of adults and children

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10
Q

NHIS

A

National Health Interview Survey

health of civilian, non-institutionalized population

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11
Q

NAMCS

A

National Ambulatory Medical Care Survey

based on sample of visits to non-federal, non-institutinoalized (office-based) physicians

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12
Q

NHCS

A

National Hospital Care Survey

non-federal hospital-based settings

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13
Q

BRFSS

A

Behavioral Risk Factor Surveillance System

telephone health survey that collects information of health risk behaviors, preventative helath practices, and health care access related to chronic diseases and injury

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14
Q

Sensitivity

A

how accurately a test can correctly detect presence of disease when in fact disease is actually (known to be) present

True Positives

all diseased

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15
Q

Specificity

A

how accurately a test can correctly detect absence of disease when the disease is actually (known to be) absent

True Negative

all non-diseased

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16
Q

Positive Predictive Value

A

how accurately a positive test correctly predicts the presence of disease

True Positive

all positive tests

17
Q

Negative Predictive Value

A

how accurately a negative test correctly predicts the absence of disease

True Negative

all negative tests

18
Q

Diagnostic Accuracy/Precision

A

percentage of all correctly-identified patients (True Positives and True Negatives) out of the total number of screened patients

True Positives + True Negatives

total screened

19
Q

Nominal Data:

  1. Prediction
  2. correlation
  3. Proportion of events (survival)
  4. more than 3 groups
    1. related
    2. independent
    3. ____ test of Inequality
  5. 2 groups
    1. related
    2. independent
A
  1. logistic regression
  2. contingency coefficient
  3. log-rank
    1. cochran
    2. chi-square, fisher’s exact
    3. Bonferroni
    1. McNemar
    2. Pearson’s Chi-Square
20
Q

ordinal data:

  1. prediction
  2. correlation
  3. proportion with event (survival)
  4. 3 or more groups
    1. related
    2. independent
    3. post-hoc
  5. 2 groups
    1. related
    2. independent
A
  1. multinomial logistic regression
  2. spearman correlation
  3. cox proportional hazards
    1. friedman
    2. kruskal-wallis
    3. student-newman-keul, dunnet, dunn
    1. wilcoxon signed rank
    2. mann-whitney
21
Q

interval data:

  1. prediction
  2. correlation
  3. proportion with event (survival)
  4. 3 or more groups
    1. related
    2. independent
    3. post-hoc tests
  5. 2 groups
    1. related
    2. independent
A
  1. linear regression
  2. pearson correlation
  3. kaplan-meier
    1. repeated measures ANOVA (repeated measures ANCOVA when cofounder present)
    2. ANOVA (ANCOVA when confounders present)
    3. Bonferroni, Tukey, Scheffe, Dunn, Dunnet, Student-Newman-Keul
    1. paired T test (or repeated measures ANOVA)
    2. student t test (or ANOVA)
22
Q

regression

A

provide a measure of the relationship between variables by allowing the prediction about the dependent, or outcome, variable (DV) knowing the value/category of independent variables (IVs)

23
Q

correlation

r = -1

r = 0

r = 1

A

provides a quantitative measure of the strength and direction of a relationship between variables

strong negative

no association

strong positive

24
Q

proportion of events (survival)

A

compares the proportion of events over time, or time-to events between groups

commonly represented by kaplen-meier curve

25
Q

CONSORT

A

CONsolidated Standards Of Reporting Trials

randomized interventional (clinical trials)

26
Q

STROBE

A

STrengthening the Reporting of OBservational studies in Epidemiology

observational studies (cohort, case-control, cross-sectional)