bioethics/biostats Flashcards
external relationship obscures the relationship being studied
- ex: smokers consuming more alcohol than non-smokers obscures the relationship between smokers and hepatic carcinoma
confounding bias
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
experimenter-expectancy bias
- aka observer–expectancy bias or the Pygmalion effect
study sample does not reflect the general population
selection bias
false estimations of survival rates due to the disease being diagnosed at an earlier stage
lead-time bias
TP / (TP + FN)
sensitivity
- ability to detect the disease
TN / ( TN + FP)
specificity
- ability to detect the absence of disease
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
late-look bias
when information is gathered in a systematically distorted manner
measurement bias
how likely that a patient is healthy (does NOT have disease)
negative predictive value
(A/C) / (B/D)
odds ratio
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
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
measures the number of new cases in a population over a specified period of time
incidence
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
prevalence
comparing a group of people with a certain disease, to a group of people without the disease
case-control
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
cohort