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
Q

Statistical tests used for continuous data (normally distributed)

A

2 Groups (Independent) = Student t-test

3+ Groups (Independent) = ANOVA test

2 Groups (Dependent) = Paired t-test

3+ Groups (Dependent) = ANOVA

26
Q

When to use mean

A

continuous + normally distributed data

27
Q

When to use standard deviation

A

continuous, parametric data

28
Q

When to use median

A

ordinal or continuous data

29
Q

When to use mode

A

nominal, ordinal, or continuous data