Stats Flashcards

1
Q

Absolute Risk

A

of events in treated or control groups

/
# of people total in that group

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2
Q

Absolute Risk Reduction

A

absolute risk in control group (ARC) - absolute risk in treatment group (ART)

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3
Q

Group A

A

-Have disease
-Have exposure

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4
Q

Group B

A

-No disease
-Have exposure

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5
Q

Group C

A

-Have disease
-No exposure

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6
Q

Group D

A

-No disease
-No exposure

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7
Q

Relative Risk

A

ART
/
ARC

OR

A/(A+B)
/
C/(C+D)

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8
Q

Relative Risk Reduction

A

1 - RR (x 100%)

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9
Q

Odds Ratio

A

A/C
/
B/D

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10
Q

Odds Ratio Interpretation

A

< 1 = negative association (protective)

1 = no association

> 1 = positive association (harmful)

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11
Q

Number Needed to Treat

A

1/ARR

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12
Q

Sensitivity

A

ability of a test to detect a true positive

TP/(TP+FN)

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13
Q

Specificity

A

ability of a test to detect a true negative

TN/(TN+FP)

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14
Q

Positive Predictive Value

A

proportion of those w/ disease when test is positive

TP/(TP+FP)

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15
Q

Negative Predictive Value

A

proportion of those w/o disease when test is negative

TN/(TN+FN)

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16
Q

Mortality Rate

A

deaths during specified time interval
/
population size at risk of death

17
Q

Incidence Proportion

A

new reported cases
/
initial population at risk

*expressed as %

18
Q

Incidence Rate

A

new reported cases
/
susceptible population

*must subtract those who already had disease from susceptible population

19
Q

Type I Error

A

concluding there is a difference when one does not exist (rejecting null hypothesis)

probability of making this = alpha

20
Q

Type II Error

A

concluding there is no difference when one actually exists (null hypothesis not rejected when it should be)

probability of making this = beta

21
Q

Continuous Data

A

Interval - ranked in specific order + arbitrary zero (ex: degrees F)

Ratio - ranked in specific order + absolute zero (degrees K, weight, BP)

22
Q

Categorical Data

A

Nominal - classified into groups in unordered manner (ex: race, sex, presence/absence of disease)

Ordinal - ranked in specific order (ex: NYHA class, pain/Likert scale)

23
Q

Statistical tests used for nominal data

A

2 Groups (Independent) = x2 or Fisher exact test

3+ Groups (Independent) = x2 or Fisher exact test

2 Groups (Dependent) = McNemar test

3+ Groups (Dependent) = Cochran Q test or Mantel-Haenszel test

Chi-Fish, Chi-Fish, McNem, Cock-Mantel

24
Q

Statistical tests used for ordinal data or continuous data (not normally distributed)

A

2 Groups (Independent) = Mann-Whitney U test or Wilcoxan rank sum test

3+ Groups (Independent) = Kruskal-Wallis test

2 Groups (Dependent) = Wilcoxon signed-rank test

3+ Groups (Dependent) = ANOVA

Man-Wit Cox Rank, KW, Cox Sum, ANOVA

25
Statistical tests used for continuous data (normally distributed)
2 Groups (Independent) = Student t-test 3+ Groups (Independent) = ANOVA test 2 Groups (Dependent) = Paired t-test 3+ Groups (Dependent) = ANOVA
26
When to use mean
continuous + normally distributed data
27
When to use standard deviation
continuous, parametric data
28
When to use median
ordinal or continuous data
29
When to use mode
nominal, ordinal, or continuous data