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EBM > EBM Exam 2 > Flashcards

EBM Exam 2 Flashcards

(46 cards)

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1
Q

Nominal data

1 confounded

2 samples (independent, parallel design)

A

Mantel-Haenszel

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2
Q

Nominal data

Greater than 2 confounders

2 samples (independent, parallel design)

A

Logistic regression

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3
Q

Nominal data

No confounders

2 samples (related, crossover or pre-post design)

A

McNemar’s test

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4
Q

Nominal data

No confounders

3 or more samples (independent, parallel design)

A

Chi square (bonferroni)

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5
Q

Nominal data

1 confounder

3 or more samples (independent, parallel design)

A

Chi square (bonferroni)

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6
Q

Nominal data

2 or more confounders

3 or more samples (independent, parallel design)

A

Logistic regression

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7
Q

Nominal data

No confounders

3 or more samples (related, cross-over design)

A

Cochran’s Q (bonferroni)

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8
Q

Ordinal data

No confounders

2 samples (independent, parallel)

A

Wilcoxon rank sum or Mann Whitney U

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9
Q

Ordinal data

1 confounder

2 samples (independent, parallel)

A

2 way ANOVA ranks

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10
Q

Ordinal data

2 or more confounders

2 samples (independent, parallel)

A

ANOVA ranks

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11
Q

Ordinal data

No confounders

2 samples (related, cross-over or pre-post design)

A

Wilcoxon signed rank test

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12
Q

Ordinal data

1 confounder

2 samples (related, cross-over or pre-post design)

A

2-way repeated ANOVA ranks

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13
Q

Ordinal data

2 or more confounders

2 samples (related, cross-over or pre-post)

A

Repeated measures regression

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14
Q

Ordinal data

No confounder

3 or more samples (independent, parallel)

A

Kruskal-Wallis ANOVA (MCP or bonferroni)

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15
Q

Ordinal data

1 confounder

3 or more samples (independent, parallel)

A

2 way ANOVA

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16
Q

Ordinal

2 or more confounders

3 or more samples (independent, parallel)

A

ANCOVA ranks

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17
Q

Ordinal

No confounders

3 or more samples (related, cross-over)

A

Friedman ANOVA

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18
Q

Ordinal

1 confounder

3 or more samples (related, cross-over)

A

2 way repeated ANOVA ranks

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19
Q

Ordinal

2 or more confounders

3 or more samples (related, cross-over)

Study These Flashcards
A

Repeated measures regression

20
Q

Continuous

No confounders

2 samples (independent, parallel)

Study These Flashcards
A

Student’s t test

21
Q

Continuous

1 confounder

2 samples (independent, parallel)

22
Q

Continuous

2 or more confounders

2 samples (independent, parallel)

23
Q

Continuous

No confounders

2 samples (related, cross-over or pre-post)

Study These Flashcards
A

Paired student’s t test

24
Q

Continuous

1 confounder

2 samples (related, cross-over or pre-post)

Study These Flashcards
A

2 way repeated ANOVA

25
Continuous 2 or more confounders 2 samples (related, cross-over or pre-post)
Repeated measures regression
26
Continuous No confounders 3 samples (independent, parallel)
1 way ANOVA (MCP)
27
Continuous 1 confounder 3 samples (independent, parallel)
2 way ANOVA
28
Continuous 2 or more confounders 3 samples (independent, parallel)
ANCOVA
29
Continuous No confounders 3 samples (related, cross-over)
Repeated measures ANOVA (MCP)
30
Continuous 1 confounder 3 samples (related, cross-over)
2 way repeated ANOVA
31
Continuous 2 or more confounders 3 samples (related, cross-over)
Repeated measures regression
32
Nominal data No confounders 2 samples (independent, parallel design)
Chi square or fisher's exact
33
Mean
Continuous data | Sensitive to outliers
34
Median
Ordinal and continuous data | Insensitive to outliers
35
Standard error of the mean
Statistical trick Makes the variability in the data appear smaller than it is An estimation of the error in the study's mean NOT a measure of variability of the data
36
Type I error
Claiming that there is a difference when one does not exist
37
P value
The chance of a type I error occurring
38
Type II error
Accept null hypothesis when it is false
39
Power
1-beta Determine the number of pts needed per group to detect a difference Smaller differences require larger study pops
40
P value trumps power or power trumps p value?
P value trumps power -- results are still significant if achieve p value but do not achieve power
41
If confidence interval includes 0 (for absolute values) or 1 (for ratios),
Not statistically significant
42
Wider CI means
More uncertainty -- suspicious of type II error
43
Problem with relative risk
Artificially inflates effectiveness and adverse events
44
NNT and NNH can only be calculated for...
NOMINAL data Statistically significant results
45
Intention to treat
All data is included in the analysis, regardless of whether the person completed the study (Real world, more conservative)
46
Per protocol
Only pts that followed protocol perfectly included in analysis

EBM (2 decks)

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