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Welcome to the Brent Johnson Lab

The Brent Johnson Lab researches statistical methodology for biomedical and public health applications including semi-parametric and non-parametric methods in missing data problems, measurement error, and survival analysis. A substantial part of the current research program is dedicated toward drawing statistical inference from observational data. We have also investigated regularized estimation and variable selection for practical problems that arise in collaborations. Research funding supported by grants from the National Institutes of Health.

Huber’s   acting on mark-scale residuals "V when E["V |"T = z] is a sinusoidal function in z.