censored population. We then correct the derivative for the effects of the selection bias. We propose nonparametric and …

bias in the empirical distribution arising from the presence of noise. The leading bias in the empirical quantile function … for selection bias and shrinkage estimation and is to be contrasted with deconvolution. Simulation results confirm the …

endogeneity and attrition/non-response bias, using two instrumental variables. Making use of a discrete instrument for the …

censored population. We then correct the derivative for the effects of the selection bias. We propose nonparametric and …

demonstrate that one of the proposed methods to address non-uniqueness that relies on computing bias-adjusted treatment effects …, and therefore conclusions about bias, can change dramatically if we deviate from equal selection even by a small magnitude. …