Stanley (1991) argues that both random measurement error in the pretest and treatment-effect interactions bias the estimate of the treatment effect when multiple regression is used to analyze the data from a regression-discontinuity design (RDD). Stanley also argues that these biases are so...

A recently published Evaluation Review article (April 1990) claimed that because of random measurement error in the pretest (and the regression toward the mean that results) the estimate of the treatment effect of the regression-discontinuity (RD) design is biased A conceptual approach and a set...

A cutoff-based randomized clinical trial couples cutoff-based assignment on an appropriate covariate with random assignment to help balance ethical and scientific concerns in certain situations. A statistical power algorithm based on the Fisher Z method is developed that is particular to and...

This article examines the regression-discontinuity (RD) design when there is random measure ment error and a treatment interaction effect. Two simulation issues -the specification of the pretest-posttest functional form and the choice of the point-of-estimation of the treatment effect- are...

This paper examines the effect of antidepressant use on the likelihood of being employed among HIV-positive women receiving highly active antiretroviral therapy (HAART) in the United States from 1994 to 2004. We use instrumental variables to predict antidepressant use independently of outcomes;...