BIOSTATS Flashcards

1
Q

wider CI is most likely due to what

A

smaller sample size

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2
Q

RR 2.0, CI (1.2-2.8) - is this statistically significant

A

yes - b/c does not include 1

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3
Q

95% of study data will lie b/w how many standard deviations from the mean

A

2 SD from the mean

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4
Q

99.7% of study data will fall b/w how many standard deviation form mean

A

3 SD from the mean

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5
Q

68% of study dad will fall b/w how many SD of the mean

A

1 SD of mean

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6
Q

if the test is negative - what is the probability that the patient will have the disease

A

1 - negative predictive value

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7
Q

cofounding bias

A

bias that results when the exposure disease relationship is mixed with the effect of extraneous factors

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8
Q

what study can have recall bias

A

retrospective study

- case control studies

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9
Q

chi-squared - when to use

A

when comparing the proportions of a categorized outcome

2x2 table ( ex: HRT vs. no HRT)

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10
Q

when to use two sample x test

A

two MEANS not proportions

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11
Q

when to use two sample T test

A

To compare two means NOT proportions

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12
Q

when to use ANOVA

A

compare MEANS of 3 or more variables

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13
Q

Meta-analysis

A

spidemiologic method of pollen the data from several studies to do an analysis having a relatively big statical power

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14
Q

what does it mean to say randomization was successful

A

means that the baseline characteristics of the patients were the same b/w treatment and placebo gourds

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15
Q

NNT

A

1-ARR

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16
Q

hawthorne effect

A

tendency of the study population to affect the outcome since they are aware that they are being studied

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17
Q

incidence

A

number of new cases of disease that develops in a specific population over a specified time period

18
Q

prevalence

A

existing case of disease in population at a particular point in time

Prevalence = incidence x duration of disease

19
Q

increase in prevalence but same incidence - what can cause this?

A
  • attributed to factors that prolong duration of disease

ex> improved quality of care and disease management

20
Q

case control studies help to control what type of bias

A

confounding

21
Q

what is an efficient method to control confounding

A

matching - patients selected with same age, race and are used as control

  • used in CASE CONTROL STUDIES
22
Q

what study is the best to pick up incidence of disease

23
Q

retrospective cohort

A

population with disease

Compares disease incidence with and without a risk factor

24
Q

what study type looks at prevalence

A

Cross sectional

25
What study looks at risk factor frequency
Case control Diseased cases and non disease controls - looks at risk factor frequency
26
methods to control cofounding
Design Stage: - MATCHING - RESTRICTION (limiting study participation to individuals with specific characteristics i.e.: only men - RANDOMIZATION Analysis Stage - stratified analysis Statistical modeling
27
post hoc analysis
performing unplanned statistical test on patterns that were identified after the fact in the data after completed study
28
effect modification
results when an external variable positively or negatively impacts the effect of risk factor on the disease Ex: estrogen treatment increase risk of VTE and this effect is augmented by smoking
29
factorial design studies
randomization to different interventions with additional study of 2 or more variables
30
cross over study
one group patients - get treatment A Other group of patients get treatment B Then they cross over
31
Attributable risk percent or etiologic fraction
ARP = risk in exposed - risk in unexposed / risk in exposed
32
rr 4.0 95% CI 1.5 - 6.5 The risk of getting disease 4Xmore with alcohol than in people without using alcohol what is the precent of disease in people who drink alcohol
They want you to calculate ARP (attributable risk percent) ARP = 4-1/4 = 0.75%
33
generalizability or external validity
applicability of the study results to other populations
34
median
blue located in the middle of dataset
35
mean
all numbers added together an then divided by the number of numbers
36
mode
the most frequent number in data set
37
smoking and alcohol as cofounders
smoking should be related to alchol comsumption
38
tighter CI - means
the more precise the results
39
mode of inheritance for hemophilia A
X linked recessive disorder
40
two sample t test vs. two sample x test
Two sample t test - compares two means Two sample z test - compares two means but population ( not sample) - since population variance is not usually known - test has limited applicability