BACKGROUND: Covariate measurement error is common in epidemiologic studies. Current methods for correcting measurement error with information from external calibration samples are insufficient to provide valid adjusted inferences. We consider the problem of estimating the regression of an outcome Y on covariates X and Z, where Y and Z are observed, X is unobserved, but… Continue reading On using summary statistics from an external calibration sample to correct for covariate measurement error
Keyword: *Research Design/statistics & Numerical Data
Multilevel factorial experiments for developing behavioral interventions: power, sample size, and resource considerations
Factorial experimental designs have many potential advantages for behavioral scientists. For example, such designs may be useful in building more potent interventions by helping investigators to screen several candidate intervention components simultaneously and to decide which are likely to offer greater benefit before evaluating the intervention as a whole. However, sample size and power considerations… Continue reading Multilevel factorial experiments for developing behavioral interventions: power, sample size, and resource considerations