BIOSTATISTICS Flashcards

1
Q

specificity

A

TN / (TN + FP)

1-FP rate

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2
Q

what is beta value in biostatics

A

type II error
b = %

don’t confuse with power = 1 - b

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3
Q

what is 1 - beta in biostatics

A

power

100 - b = %

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4
Q

chai square test assess for statistically significant ____ between two or more ____ values

A

differences
categorical

i.e. percentages, alleles
(not means) = t-test

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5
Q

cross sectional study
aims to identify

A

prevelance

‘snap shot in time’ - **does not **follow patients over time

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6
Q

in cross over study, subjects recieve multiple treatments in ___

A

sequence

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7
Q

two or more treatments given to different patients groups
evaluates multiple independant variables simultaneously + interactions between variables

A

factorial study design

i.e. pts given vitamins: A only, C only, C+E, placebo

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8
Q

2 groups: 1 disease, 1 disease free. variables then compared.
study design?

A

case control

(OR)
disease –> risk factor
(retrospective)

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9
Q

2 groups: 1 risk factor, 1 risk factor free. disease then compared.
study design?

A

cohort

(RR)
risk factor —> disease
(anterograde)
* can be retrospective

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10
Q

ranges of correlation coefficient range between

and its strength

A

1 to +1

close to its margins = stronger

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11
Q

in correlation coefficient how are
r>0
r<0

interpreted

A

r>0 = positive = both values increase/decrease together
r<0 = negative = one value increases, other decreases

direction (positive, negative)
strength (-1 to +1) = stronger at poles

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12
Q

what study design can be useful in identifying risk factors potentially contributing to a disparity in the community being observed to help generate a research hypothesis

A

i.e. cross sectional study

(identify risk factors correlated to obesity in different settings - helps generate hypothesis)

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13
Q

OR of 1 means
OR >1 means

A

equally likely
exposure related to outcome

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14
Q

most time efficient experimental design to run

A

case control

You would need a case (people drinking high arsenic) and control (people with no arsenic).

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15
Q

intention to treat requires

A

all patients to be analysed in the group they were initally randomized

ignores deviations, withdrawals, compliance

used to preserve randomisation with attrition/crossover is introduced to study

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16
Q

which point locates ‘maximum sensitivity’

A

(A) = 100% sensitivity
all people who have disease test positive

moving cut point higher for a test =
decreases sensitivity
increases specificity
(increases FN, decreases FP)

17
Q

equation for NNT

A

NTT = 1/ARR

(ARR = CER-EER)

CER = control event rate
EER = experimental control rate

don’t forget to do the 1/ at the end (not just calculate ARR)

18
Q

Assume trace elements is control group, how many nulliparous women with confirmed pregnancies would have to be treated with folic acid to prevent one congenital abnormality?

A

NNT = 1/ARR
(ARR = CER-EER)

ARR = 2.3 - 1.3 = 1%

1/0.01 = 100 women

19
Q

A study is conducted to assess body mass index (BMI) in a group of 100 patients with type 2 diabetes
mellitus. Results show a mean (± standard error of the mean) BMI of 31 kg/m 2 2
(± 4 kg/m ). The 99%
confidence intervals for this measurement are 20.7 to 41.3. The 95% confidence intervals are 23.3 to 38.8.
Based on this information, which of the following best represents the number of individuals who have a BMI
2 2
between 38.8 kg/m and 41.3 kg/m ?
A. 2
B. 4
C. 6
D. 8
E. 10

A

2

gaussian distribution question

roughly 2.5% between 95-99.7% confidence intervals
(here uses 99%). So 2% x 100 patients = 2 people

20
Q

role of IKB in nuclear factor kappa B signal transuction pathway

A

NFKB bound to inhibitor protein IKB in cytoplasm (inactive)

when ligand binds (i.e. IL-1) –> activates IKB kiase (IKK complex) –> activated IKK phosphorylates IKB –> releases NFKB –> NFKB translocates to nucleus –> upregulates transcription/translation proinflammatory genes

increased** IL-6 **synthesis induced by this pathway

IKB = inhibitor of kappa B
IKK = IKB kinase complex

21
Q

1-B (power) is the probabilty of ___ the null hypothesis when it is ___

A

rejecting
truly false

probability of finding a true relationship

= the probability of a statistical test correctly rejecting a false null hypothesis
detects a real effect when one exists

1-type II error

depends on sample size and outcomes being tested

typically set at 80% i.e. if B set at 0.2 = 1-B = 80%

22
Q

B is probablity of commiting a

A

type II error

fail to reject null hypthesis when it is truly false

will miss true relationships

23
Q

type I error

A

reject hypothesis when it is true

24
Q

type II error

A

**fail to reject **hypothesis when it is false

25
a value
maximum probability making a type I error that a researcher will accept | a = 0.05 less than 5% chance it occured under null hypothesis ## Footnote p value = probability of observing a given result due to chance alone (assuming null is true) compared to p value
26
in prospective studies, loss to follow up poses the risk of
atritiion bias | form of SELECTION BIAS ## Footnote doesn't ocur if random loss
27
what study design shows risk factor association with disease, but does not determien causality
cross-sectional | 'snap shot' prevelence ## Footnote i.e. genome mutation and HTN analysed in random population over 1 week, association determined
28
correlation analysis assesses the relationship between 2 _\_\_ variables
**qualitative** i.e. categorical *temp, glucose levels, body composition* | correlation coefficient ## Footnote **chai square - assoc between 2 categorical variables** i.e. male, female i.e. presence or absence myocardial infarction