intro to biostats Flashcards

(36 cards)

1
Q

required assumptions of interval data

A

normally distributed
equal variances
randomly derived and independent

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2
Q

what test can be used to determine equal variance in interval data

A

levene’s test

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3
Q

handling interval data not normally distributed

A

use non parametric tests

or transform data to standardized value (z score or log)

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4
Q

if stem has prediction then what comparisson

A

regression

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5
Q

occurences over time

A

survival comparison

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6
Q

are there differneces btwn to categories

A

group comparison

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7
Q

will say want correlation

A

correlation

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8
Q

nominal correlation test

A

contingency coefficient

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9
Q

ordinal correlation tewst

A

spearman correlation

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10
Q

interval correlation test

A

pearson correlation

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11
Q

special thing about pearson correlation

A

just assesses for linear correlation, may still be non linear correlations if pearson is non significant

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12
Q

what is surivaval tests usually represented by

A

kaplan meier curve

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13
Q

nominal survival
ordinal survival
interval survival

A

how do you survive?

Long Cox Kill

log rank
cox proportinal hazards test
kaplan meier test

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14
Q

nominal regression
ordinal regression
interval regression

A

Logs multiply linearlly

logistic regression
multinomaial logistic regression
linear regression

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15
Q

nominal, 3 groups or more and related

A

cochran

johnny cochran has worked for 3 or more seperate normal clients

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16
Q

nominal 3 groups or more and independent

A

chi sqauare and fisher exact

cameron fiser nominally has 3 independent crews working for him

17
Q

nominal, 2 groups, related

18
Q

nominal, 2 groups, independent

A

(pearsons) chi square and fisher’s exact

cam fiser with 2 independent crews

19
Q

follow up confirmation test for nominal

A

bonferroni test of inequality

normal bon fire

20
Q

ordinal, 3 groups or more, related

A

friedman

ordinarily 3 related groups are free

21
Q

ordinal, 3 groups or more, independent

A

kruskal-wallis

krush the wall

22
Q

ordinal, 2 groups, independent

A

whitney is ordinary, independent of mann

mann whitney

23
Q

ordinal, 2 groups, related

A

wilcoxon signed rank

mrs wilcox signed rank
she is ordinary and want to be related

24
Q

follow up test ordinal for 3 groups or more

A

student newman keul
dunnett
dunn

25
nominal, 2 groups or more with expected cell count under 5
fisher's exact test
26
follow up test interval 3 or more groups
``` student newman keul dunett dunn tukey or scheffe bonferroni ```
27
a correlation test showing relationship or agreement between evaluator (consistency of decisions, determinations)
kappa statistic
28
kappa interpretation
+1 = observers perfectly classify everyone exact same way 0 = no relationship between observers -1 = boservers classify everyone exact opposite
29
null hypothesis
no true diff btwn groups of comparison
30
type 1 error
rejecting null hypothesis when shouldnt
31
type 2 error
not rejecting null hypothesis when you should
32
the ability of a study design to detect a true difference if one truly exists btwn group comparisons, and therefore the level of accuaracy in correctly accepting/rejecting the null hypotheis
power (1-B error)
33
what increases the power
increasing the sample size
34
interpretation of p value | 4
probability of making type 1 error probability of claiming diff btwn groups when one doesn't really exist probability of obtaining group diff as great or greater if the groups were actually same/equal probability of obtaining a test statisti as high/higher if groups were actually the same/equal
35
interval 2 groups, independent
student t
36
interval, 2 groups, related
paired t test