Biostats (Segars) Flashcards

(44 cards)

1
Q

___ is a research perspective which states there will be no true difference between groups being compared
BIG STAR

A

null hypothesis

most conservative and commonly utilized

either accept or reject this perspective, based on statistical analysis

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2
Q

How many standard deviations..?
99.7%: __
68%: __
95%: __

A

3

1

2

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3
Q

positively skewed graph…
which direction is the tail pointing?
relationship of the mean to the median?

A

tail points to the right

mean higher than median (mean>median)

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4
Q

negatively skewed graph…
which direction is the tail pointing?
relationship of mean to the median?

A

tail points to the left

mean lower than median (mean

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5
Q

this data type is dichotomous/binary; non-ranked named categories

has NO magnitude/ NO consistency of scale

A

Nominal

Gender, occupation class, party affiliation, above 5 ft or below 5 ft tall

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6
Q

this data type has ranked categories; non-equal-distance

YES magnitude/ NO consistency of scale

A

Ordinal

> 3 mos, <3 mos, > 6 mos; strongly disagree, somewhat disagree, somewhat agree, strongly agree

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7
Q

this data type has order, magnitude and equal intervals of scale (units)

YES magnitude/ YES consistency of scale

A

Interval

living siblings (number), Age (in yrs), Temp, BP, creatinine, weight

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8
Q

this test for interval type data assesses for equal variances between groups
BIG STAR

A

Levene’s test

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9
Q

1st question to ask to select the correct statistical test…

A

What DATA LEVEL is being recorded?

a) Does the data have MAGNITUDE? (yes/no)
b) Does the data have a fixed, measurable INTERVAL along the entire scale (yes/no)?

this gets you on the right sheet

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10
Q

2nd question to ask to select the correct statistical test…

A

What TYPE OF COMPARISON/ASSESSMENT is desired?

1) correlation
2) Regression (prediction/association)
3) Survival comparison (time)
4) Group comparison (most common)

*frequencies/counts/proportions

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11
Q

this type of comparison /assessment provides a QUANTITATIVE measure of the STRENGTH and DIRECTION of a relationship between variables (range from -1.0 to +1.0)

A

Correlation

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12
Q

Name the CORRELATION test for…
Nominal: ___
Ordinal: ___
Interval: ___

A

nominal=contingency coefficient
ordinal=spearman correlation
interval=pearson correlation

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13
Q

___ correlation just assesses for LINEAR correlation

BIG STAR

A

Pearson

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14
Q

this type of comparison/assessment compares the proportion of events over TIME, or TIME-TO events, between groups (ongoing progression)

A

Survival tests

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15
Q

Survival tests commonly represented by a __ curve

A

Kaplan-meier

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16
Q

Name the SURVIVAL test for…
Nominal: ___
Ordinal: ___
Interval: ___

A

nominal=Log-rank
ordinal=Cox-proportional Hazards
interval=Kaplan-meier

all can be represented by a Kaplan-meier curve

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17
Q

this type of comparison/assessment provides a measure of the relationship between variables by allowing the prediction about the dependent, or outcome, variable (DV) knowning the value/category of independent variables (IV)

A

Regressions

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18
Q

Name the REGRESSION tests for…
Nominal: ___
Ordinal: ___
Interval: ___

A

nominal=logistic regression
ordinal=multinomial logistic regression
interval=linear regression

19
Q

3rd question to ask to select the correct statistical test?

A

HOW MANY GROUPS are being compared?

2 or 3 or more groups

20
Q

Name the tests for Nominal data, 2 groups of independent data

A
  • (pearson’s) Chi-square

- Fisher’s exact –> greater than 2 groups w/EXPECTED cell count of <5

21
Q

For nominal data, >3 groups with statistically significant findings, you must perform what analysis to determine which groups are different?

A

Post-hoc testing –> Bonferroni test of Inequality

22
Q

Nominal test for 2 groups of paired/related data…

23
Q

Nominal test for >3 groups of paired/related data

24
Q

Ordinal test for 2 groups of independent data..

A

Mann-whitney test

25
ordinal test for >3 groups of independent data..
Kruskal-Wallis test
26
Post-hoc test for ordinal data, >3 groups
Student-Newman-Keul Dunnett Dunn
27
Ordinal test for 2 groups of paired/related data...
Wilcoxon Signed Rank test
28
ordinal test for >3 groups of paired/related data...
Friedman test
29
Interval test for 2 groups of independent data...
Student t-test
30
Interval test for >3 groups of independent data...
ANOVA (1 DV) or MANOVA (>2 DVs)
31
Interval test for >3 groups of independent data w/confounders...
ANCOVA or MANCOVA
32
interval test for 2 groups of paired/related data...
paired t-test
33
interval test for >3 groups of paired/related data...
Repeated measures ANOVA (1 DV) OR Repeated measures MANVOA (>2 DVs)
34
post-hoc tests for interval data...
``` Bonferronie Tukey Scheffe Dunn Dunnett Student-Newman-Keul ```
35
__ is a CORRELATION TEST showing relationship or agreement between evaluators (consistency of "decisions", "determinations")
Kappa Statistic
36
Kappa interpretation: __=the observers perfectly "classify" everyone exactly the same way __=there is no relationship at all between the observers "classifications", above the agreement that would be expected by chance __=the observers "classify" everyone exactly the opposite of each other
+1 0 -1
37
4th question to ask to select the correct statistical test?
Is the data INDEPENDENT or RELATED (PAIRED)? -Data from the same (paired) or different groups (independent)
38
__ is also known as alpha error and is a REJECTION of the null hypothesis when it is actually TRUE, and you SHOULD HAVE ACCEPTED IT
Type 1 error
39
__ is also known as beta error and is NOT REJECTING the null hypothesis when it is actually FALSE, and you SHOULD HAVE REJECTED IT
Type 2 error
40
The larger the sample size, the greater the likelihood (ability) of detecting a difference if one truly exists. This has an increase in ___
Power --> the ability of a study design to detect a true difference if one truly exists between group-comparisons, and therefore the level of accuracy in correctly accepting/rejecting the Null hypothesis
41
Add in what with Alpha (type 1) and Beta (type 2) error rates and confidence interval? **BIG STAR**
Add in anticipated drop-outs or loss to follow-ups
42
p-value should be ___ to be statistically significant
<0.05 (less than 5%)
43
what does a 95% CI really mean?
We are 95% confident that the "true" difference (0) or relationship (1) between the groups is contained within the confidence interval range
44
how do you know if the CI is NOT SIGNIFICANT?
if CI crosses 1.0 for ratios (OR/RR/HR) i.e., 0.78-1.01