HIM 6844 Health Outcomes Research18Bayes’ theorem:A theorem used to update the probability of an event in the light of apiece of new evidence.Bayesian analysis:A statistical approach based on Bayes’ theorem that can be used insingle studies or meta-analyses. Bayesian analysis involves the use of existing and newinformation to estimate the risk that a person will experience an event.Beta error:See Type II error.Bias:A systematic error in study design or conduct that results in a distortedassessment of the intervention’s impact on the measured out- comes.1 In clinical trials,the main types of bias arise from systematic differences in study groups that arecompared (selection bias), exposure to factors apart from the intervention of interest(performance bias), participant withdrawal or exclusion (attrition bias), or assessmentof outcomes (detection bias). Reviews of studies may also be particularly affected byreporting bias, where a biased subset of all the relevant data is available.Bias prevention:Aspects of study design or conduct intended to prevent bias. Inclinical trials, such aspects include randomization, blinding, and concealment ofallocation.Blinded study:An experimental study in which participants do not know the treatmentthey are receiving; investigators may also be blind to the specific treatments. Double-blind means that neither participants nor investigators know which treatment theparticipants receive. However, the terms single-blind, double-blind and triple-blind arenot used consistently and are ambiguous unless those who are blinded are specified.Blinding:See blinded study.Case-control study:An observational study that compares individuals with a specificdisease or outcome of interest (cases) to individualsfrom the same population withoutthat disease or outcome (controls) and seeks to find associations between the outcomeand prior exposure to particular risk factors. This design is particularly useful where theoutcome is rare and past exposure can be reliably measured. Case-control studies areusually retrospective, but not always.Causality:An association between two characteristics that can be demonstrated to bedue to cause and effect (i.e., a change in one causes change in the other). Experimentalstudies such as randomized controlled trials can be used to support causality. However,