To develop and validate a general method (called regression risk analysis) to estimate adjusted risk measures from logistic and other nonlinear multiple regression models. We show how to estimate standard errors for these estimates. These measures could supplant various approximations (e.g.,...

Presents findings from a study designed to look at how some of the nation's high-performing HMOs have achieved their success. Notes that delivering high-quality care is a driving force for nearly all of the plans studied, as is a culture of respect for clinicians. For printed copies call The...

Presents findings from a study designed to look at how some of the nation's high-performing HMOs have achieved their success. Notes that delivering high-quality care is a driving force for nearly all of the plans studied, as is a culture of respect for clinicians. For printed copies call The...

The Center for Medicare and Medicaid Services has introduced several pay-for-performance programs in the last few years to encourage hospitals to improve quality of care and reduce costs. Some state Medicaid programs have also introduced pay-for-performance for nursing homes. Long-term care...

Although independent unobserved heterogeneity--variables that affect the dependent variable but are independent from the other explanatory variables of interest--do not affect the point estimates or marginal effects in least squares regression, they do affect point estimates in nonlinear models...

This paper shows how to calculate consistent marginal effects on the original scale of the outcome variable in Stata after estimating a linear regression with a dependent variable that has been transformed by the inverse hyperbolic sine function. The method uses a nonparametric retransformation...