bioethics/biostats Flashcards

1
Q

external relationship obscures the relationship being studied
- ex: smokers consuming more alcohol than non-smokers obscures the relationship between smokers and hepatic carcinoma

A

confounding bias

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2
Q

investigator inadvertently influences the subjects in order to guide the results in a previously expected direction
- subjects perform better when there are positive expectations and perform less well when the expectations are low

A

experimenter-expectancy bias

- aka observer–expectancy bias or the Pygmalion effect

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3
Q

study sample does not reflect the general population

A

selection bias

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4
Q

false estimations of survival rates due to the disease being diagnosed at an earlier stage

A

lead-time bias

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5
Q

TP / (TP + FN)

A

sensitivity

- ability to detect the disease

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6
Q

TN / ( TN + FP)

A

specificity

- ability to detect the absence of disease

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7
Q

information was gathered at an inappropriate time, causing results to be skewed
- ex: study of fatal disease, only survivors are alive to answer questions, opinions of deceased not taken into account

A

late-look bias

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8
Q

when information is gathered in a systematically distorted manner

A

measurement bias

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9
Q

how likely that a patient is healthy (does NOT have disease)

A

negative predictive value

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10
Q

(A/C) / (B/D)

A

odds ratio

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11
Q

what type of error occurs if the null hypothesis is not rejected even though it is false; i.e., indicating that there is NO relationship between groups when one actually exists in the population

A

type II
- occurs when there is low statistical power. Increasing the size or reducing the variability of the study groups increases statistical power, thus decreasing the probability of a type II error

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12
Q

measures the number of new cases in a population over a specified period of time

A

incidence

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13
Q

measures the total number of cases (new cases + existing cases) in a population during a period of time or at a specific point in time

A

prevalence

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14
Q

comparing a group of people with a certain disease, to a group of people without the disease

A

case-control

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15
Q

comparing risk factors (and lack of said factors) within a group of people with a specific disease
- both groups have disease, some are exposed to a risk factor, some are not

A

cohort

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16
Q

[TP / (TP + FP)] / [FN / (FN + TN)]

A

relative risk

= (incidence of the exposed group) / (incidence of the unexposed group)

17
Q

when a study reports that there IS a relationship between two factors, when, in fact, none exists

A

type I error

18
Q

test that checks the difference between means of two groups

- ex: comparing mean BP between men and women

A

t-test

- T is meant for two

19
Q

test that checks differences between means of 3 or more groups
- ex: comparing the means blood pressure between members of 3 different ethnic groups

A

ANOVA

- 3 words: analysis of variance

20
Q

test that checks differences between 2 or more percentages or proportions of categorical outcomes (not mean values)
- comparing the percentage of members of 3 different ethnic groups who have essential HTN

A

Chi-square test

- “chi”-tegorical

21
Q

test that checks the differences between 2 percentages or proportions of categorical, nominal outcomes (small groups)
- comparing the percentage of 20 men and 20 women with HTN

A

Fisher’s exact test

22
Q

what are the only 2 mature defense mechanisms?

A
  1. sublimation: channeling impulses into socially acceptable behavior
  2. suppression: putting unwanted feelings aside to cope with reality
23
Q

what is splitting?

A

black and white

- experiencing a person/situation as all positive or all negative