wk 4- error Flashcards
systematic error is?
there is a systematic difference between the groups and it is not due to chance.
random error is?
due to chance
type 1/type 2 with a % chance that it is random
selection bias/error is
to do with the participants in the study
when the subjects studied are not representative of the target population about which conclusions are to be drawn
measurement bias
error that occurs in the collection of data in a study.
precision deals with and accuracy deals with
systematic error, random error
risk ratio is also called?
relative risk
types of bias without a control group
-volunteer bias: more motivated
-maturation: not isolating intervention
-natural progression: conditions will naturally improve
-regression to the mean: outliers move closer to mean after repeated tests
-placebo effect: effect due to subject believing something is happening
-Hawthorne effect: effect due to attention received from study
-rosenthal effect: participants perform better because of expectation
factors to consider when understanding results of RCTs (2)
• the size or magnitude of the intervention effect (this may be provided as continuous data or dichotomous data); and
• the precision of the intervention effect (which can best be determined by inspecting the confidence interval for the intervention effect).
appraising a paper includes what? 3
- internal validity
- impact (size and effect found)
- external validity / generalizability
types of randomization processes 5
simple- no factors just random division of groups
cluster- randomise an entire group (town, clinic, school, etc)
stratified- group individuals with confounding factors evenly (heart attack in both groups)
block- equal numbers in each arm of study by organizing randomization in blocks
quasi-random allocation- not as true randomization. grouped by a common factor (DOB, alphabetical, etc)
what is a consort
a flow diagram tracking the participants throughout a trial
concealment v blinding
concealment is from the health professionals
blinding is the participants
difference between external validity and clinical significance
external validity is the generalizability of the study results to be applied to people other than those in the study
clinical significance is if the study results are worthwhile
confounding and examples
muddling of the result when the relationship between exposure and outcome is confused by the effects of something else - the confounder. A confounder must be associated with both the exposure and the outcome, but independent of both.
Some examples include: Age, socioeconomic status, gender, education level, ethnicity
difference in event rates is known as
absolute risk reduction