20 citations
- Brigham and Women's HospitalUS1 paper
- Cancer Research And BiostatisticsUS1 paper
- Galen UniversityBZ1 paper
- Imperial College LondonGB1 paper
- InsermFR1 paper
- Institut de Mathématiques de BordeauxFR1 paper
- McGill UniversityCA1 paper
- Medical Research CouncilGB1 paper
- MRC Biostatistics UnitGB1 paper
- Umeå UniversitySE1 paper
- University College LondonGB1 paper
- University of Illinois ChicagoUS1 paper
5 papers
Collaborative-controlled LASSO for Constructing Propensity Score-based Estimators in High-Dimensional Data
Cheng Ju, Richard Wyss, Jessica M. Franklin +3
Propensity score (PS) based estimators are increasingly used for causal inference in observational studies. However, model selection for PS estimation in high-dimensional data has…
An Ensemble EM Algorithm for Bayesian Variable Selection
Jin Wang, Feng Liang, Yuan Ji
We study the Bayesian approach to variable selection in the context of linear regression. Motivated by a recent work by Rockova and George (2014), we propose an EM algorithm that r…
A Bayesian Model of NMR Spectra for the Deconvolution and Quantification of Metabolites in Complex Biological Mixtures
William Astle, Maria De Iorio, Sylvia Richardson +2
Nuclear Magnetic Resonance (NMR) spectra are widely used in metabolomics to obtain profiles of metabolites dissolved in biofluids such as cell supernatants. Methods for estimating…
An Adjusted Likelihood Ratio Test for Separability in Unbalanced Multivariate Repeated Measures Data
Sean L. Simpson
We propose an adjusted likelihood ratio test of two-factor separability (Kronecker product structure) for unbalanced multivariate repeated measures data. Here we address the partic…
Likelihood for generally coarsened observations from multi-state or counting process models
Daniel Commenges, Anne Gégout-Petit
We consider first the mixed discrete-continuous scheme of observation in multistate models; this is a classical pattern in epidemiology because very often clinical status is assess…