https://www.selleckchem.com/products/fatostatin.html One recently published randomized controlled clinical trial demonstrated the effectiveness and safety of a four-component polypill for both primary and secondary CVD prevention with acceptable number needed to treat (NNT) to prevent one major cardiovascular event. Considering the slow achievement of CVD prevention in many poor- and middle-income Asian countries and also the need to further improve compliance of antihypertensive and lipid lowering medications in many high-income Asian countries, the concept of "cardiovascular polypill" could be very useful. With further support from ongoing polypill cardiovascular outcome trials, polypill could be the foundation of the population-based strategies for CVD prevention.Measurement error arises through a variety of mechanisms. A rich literature exists on the bias introduced by covariate measurement error and on methods of analysis to address this bias. By comparison, less attention has been given to errors in outcome assessment and nonclassical covariate measurement error. We consider an extension of the regression calibration method to settings with errors in a continuous outcome, where the errors may be correlated with prognostic covariates or with covariate measurement error. This method adjusts for the measurement error in the data and can be applied with either a validation subset, on which the true data are also observed (eg, a study audit), or a reliability subset, where a second observation of error prone measurements are available. For each case, we provide conditions under which the proposed method is identifiable and leads to consistent estimates of the regression parameter. When the second measurement on the reliability subset has no error or classical unbiased measurement error, the proposed method is consistent even when the primary outcome and exposures of interest are subject to both systematic and random error. We examine the performance of the method w