Consider a set of multivariable input/output process data. Given a new observation we ask the following questions: is the new observation normal or abnormal? is one of the inputs or outputs abnormal (faulty) and which? Assuming a linear regression model of the process, the problem is solved through Bayesian hypothesis testing. The proposed formulation differs from existing multivariable statist...

Randomized controlled trials of interventions to improve adherence to antiretroviral medications are not always feasible. Marginal structural models (MSM) are a statistical methodology that aims to replicate the findings of randomized controlled trials using observational data. Under the assumption of no unmeasured confounders, 3 MSM estimators are available to estimate the causal effect of an ...

PURPOSE To compare adjusted effects of drug treatment for hypertension on the risk of stroke from propensity score (PS) methods with a multivariable Cox proportional hazards (Cox PH) regression in an observational study with censored data. METHODS From two prospective population-based cohort studies in The Netherlands a selection of subjects was used who either received drug treatment for hyp...

The purpose of this research is to study and analyze the problems,obstacles and labor qualities of temporary markets of Tehran in holidays. The research method is documentary, survey and field-work andsampling method is related to cluster and systematic one. The population ischosen from all customers and sellers in temporary markets. In this research, it uses of Amos 5 and SPSS16 soft wares and...