Specific tests Flashcards

1
Q

Chi square test

definition and assumptions

A

for both 2 and 2+ groups, chi square test compares group proportions and if they are different from that expected by chance

assumption: usually chi-square distribution fro nominal type data

no cell with expected count of <5

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Fisher’s exact test

A

like chi, but good for groups of 2 or more with EXPECTED cell count of 5+

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

McNemar Test

A

2 groups, and if they are from same group

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Cochran

A

same principle as chi square and assumptions, yet mathematical factors in concept of paired or related data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Log Rang

A

Nominal, compares proportions of, or time to, event occurences between groups

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Contingency coefficient

A

nominal, correlation test

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

r = values range from ( -1.- + 1.0 )

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Logistic Regression

A

provides a measure if the relationship between variables by allowing the prediction about the dependent variable, or outcome, knowing the value/rank of others independent variables (IVs)

alos able to calculate OR for a measure of association

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

bonferroni test of inequality

A

adjusts the p value for # of comparisons being made

VERY conservative

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Mann-Whitney test

A

2 groups, independent

same as X^2 but for ordinal data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Wilcoxon Signed Rank test

A

for related data of 2 groups

compares median values between groups

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Friedman test

A

compares the median values between groups

if 3+ group comparison significant, must perform post-hox test to determine where differences are

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Student Newman-Keul test

A

post-hoc test for 3 or more group comparisons

compares all pairwise comparisons possible
all groups must be equal in size

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Dunnett test

A

post-hoc test for 3 or more group comparisons

compares all pairwise comparisons against a single control

all groups must be equal in size

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Dunn test

A

post-hoc test for 3 or more group comparisons

compares all possible multiple comparisons
useful when all groups are not equal size

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

student t test

A

2 groups, interval data

compares the mean values between groups

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

ANOVA

A

1 dependent variable
compares the means of all groups along with intra and inter group variations against a single DV

“Analysis of Variance”

17
Q

Manova

A

2+ dependent variables

compares means of all groups (along with intra and inter group) variations against multiple DVs

18
Q

ANCOVA

A

3+ groups

Analysis of Covariance

compares the means of all groups against a single DV while also controlling for the co-variance confounders

19
Q

MANCOVA

A

multiple analysis of Co-Variance

compares the means of all groups against multiple DVs while also controlling for the co-variance of confounders

20
Q

Tukey or Scheffe tests

A

compares all possible multiple comparisons

all groups must be equal in size

21
Q

tukey test

A

slightly more conservative than the stu N.K

22
Q

Scheffe test

A

less affected by violations in normality and homogeneity of variances

more conservative than tukey

23
Q

kappa statistic

A

agreement between evaluators

consistency of “decisions” “determinations”

kappa interpretation
+1 = the observers perfectly “classify” everyone exactly the same way

O = there is no relationship at all between the observers
“classifications” above the agreement that would be expected by chance

-1 = the observers “classify” everyone exactly the opposite of each other

kappa can be + or -

\+ = good agreement 
- = bad agreement
24
Q

Prediction =

A

regression test

regression measures the relationship between variables by allowing the prediction about dependent variables knowing the value rank of others independent variables

25
Q

Correlation tests =

A

what kind of relationship is it? is it linear? for example?

26
Q

Survival =

A

time to event test

compares how long a “period” of time to event between groups

27
Q

Association =

A

regression test

28
Q

Mantel Haenszel Test

A

test of ORs for adjusted/crude ORs testing for confounding