Biostatistics Flashcards
Odds of an event
probability of the event / (1 - probability of the event)
Odds ratio
measure of association between an exposure and an outcome
2x2 table calculation –> OR = ad/bc
Relative risk
risk of disease in the exposed divided by the risk of disease in non-exposed
RR = [a/(a+b)] / [c/(c+d)]
effect modification
external variable positively or negatively impacts the observed effect of a risk factor on disease status
but there has to be a significant difference in the RR when accounting for the external variable via stratified analysis
*first test
observer bias and measurement bias
distort strength of an association by misclassifying exposed/unexposed and/or diseased/nondiseased subjects
Recall bias
inaccurate recall of past exposure by people in the study
mostly with retrospective studies like case-control studies
case control study
investigator knows what the disease process is but is retrospectively trying to determine what the exposure or risk factor was
Analysis of Variance (ANOVA)
used to determine whether there are significant differences between the means of 2 or more independent groups
e.g. relationship of smoking different amounts (heavy, light, not at all) and FEF
small difference btwn means = accept null hypothesis
large difference = reject null hypothesis
Chi-square tests
checks association between 2 categorical variables
Multiple linear regression
models linear relationship between a dependent variable and 2 or more independent variables
counterpart = Pearson correlation coefficient
Pearson correlation coefficient
measures strength and direction of a linear relationship between 2 variables
Two-sample t-test
used when 2 groups are compared
equivalent of ANOVA