Lecture 54 - Epidemiology 6 Flashcards
what are the 2 broad types of error in epidemiologic studies
- systematic error/bias
- random error
what are the 3 types of bias
- selection bias
- information bias
- confounding bias
internal validity
validity of the inferences drawn as they pertain to the members of the source population
external validity
validity of the inferences drawn as they pertain to individuals outside the source population
how can random error be reduced
- increase sample size
- increase precision measurements in the study (replication)
type II error
false negative
study results show no association while there is one in reality; null accepted but false
type I error
false positive
study results show association while there is none in reality; null rejected but its true
if the p-value is less than the alpha level then the null hypothesis is _____
rejected
alpha level
a fixed cut-off
p-value
continuous measure, computed from the data, of the compatibility between a hypothesis and the data
study conclusions can be influenced by
- sample size
- variability and precision of measurements
narrow confidence interval
less variability and higher precision in the estimate
wide confidence interval
large amount of variability or imprecision in estimate
what can a confidence interval tell you
- direction and magnitude of underlying association
- random variability of point estimate