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Random intercept models for binary data are useful tools for addressing between subject heterogeneity. Unlike...
Probit-normal models have attractive properties compared to logit-normal models. In particular, they allow for easy...
In this manuscript we give an overview of observational sleep research with a particular emphasis...
This work considers the pathway through which past occupational lead exposure impacts cognitive function using...
Permutation tests are useful for drawing inferences from imaging data because of their flexibility and...
We are concerned with the estimation of the exterior surface of tube-shaped anatomical structures. This...
The purpose of this study is to develop statistical methodology to facilitate indirect estimation of...
We previously showed that lifetime cumulative lead dose, measured as lead concentration in the tibia...
Longitudinal repeated measures data has often been visualized with spaghetti plots for continuous out- comes....
In pharmacokinetic (PK) studies, blood samples are taken over time on subjects after the administration...
Functional connectivity is the study of correlations in measured neurophysiological signals. Altered functional connectivity has...
Equivalence testing is growing in use in scientific research outside of its traditional role in...
In this manuscript we are concerned with functional imaging of the colon to assess the...
Functional neuroimaging techniques enable investigations into the neural basis of human cognition, emotions, and behaviors....
Functional Magnetic Resonance Imaging (fMRI) is a non-invasive technique which is commonly used to quantify...
Logically defined outcomes are commonly used in medical diagnoses and epidemiological research. When missing values...
Binary outcomes defined by logical (Boolean) "and" or "or" operations on original continuous and discrete...
Bioequivalence trials are abbreviated clinical trials whereby a generic drug or new formulation is evaluated...
In the simultaneous estimation of a large number of related quantities, multilevel models provide a...
Markov chain Monte Carlo is a method of producing a correlated sample in order to...
Screening for changes in gene expression across biological conditions using microarrays is now a common...