Zobrazeno 1 - 10
of 1 797
pro vyhledávání: '"Ogden, R."'
The general idea of this article is to develop a Bayesian model with a flexible link function connecting an exponential family treatment response to a linear combination of covariates and a treatment indicator and the interaction between the two. Gen
Externí odkaz:
http://arxiv.org/abs/2205.01795
Autor:
Garcia, Nancy L., Rodrigues-Motta, Mariana, Migon, Helio S., Petkova, Eva, Tarpey, Thaddeus, Ogden, R. Todd, Giodano, Julio O., Perez, Martin Matias
Publikováno v:
Journal of the Royal Statistical Society -- Serie C -- Applied Statistics 2024
We consider unsupervised classification by means of a latent multinomial variable which categorizes a scalar response into one of L components of a mixture model. This process can be thought as a hierarchical model with first level modelling a scalar
Externí odkaz:
http://arxiv.org/abs/2202.04037
Autor:
Goldenthal, Ariel R., Lieberman, Evan, Rizk, Mina M., Ogden, R. Todd, Rubin-Falcone, Harry, Zanderigo, Francesca, Huang, Yung-yu, Min, Eli, Yuan, Minlan, Milak, Matthew, Sullivan, Gregory M., Sublette, M. Elizabeth, Oquendo, Maria A., Mann, J. John, Miller, Jeffrey M.
Publikováno v:
In Journal of Affective Disorders 15 December 2024 367:307-317
It is often of interest to combine available estimates of a similar quantity from multiple data sources. When the corresponding variances of each estimate are also available, a model should take into account the uncertainty of the estimates themselve
Externí odkaz:
http://arxiv.org/abs/2109.07560
Publikováno v:
Biometrics, 2020
Motivated by recent work involving the analysis of biomedical imaging data, we present a novel procedure for constructing simultaneous confidence corridors for the mean of imaging data. We propose to use flexible bivariate splines over triangulations
Externí odkaz:
http://arxiv.org/abs/2106.02718
Sparse additive modeling is a class of effective methods for performing high-dimensional nonparametric regression. This paper develops a sparse additive model focused on estimation of treatment effect-modification with simultaneous treatment effect-m
Externí odkaz:
http://arxiv.org/abs/2006.00265
Dimension reduction lies at the heart of many statistical methods. In regression, dimension reduction has been linked to the notion of sufficiency whereby the relation of the response to a set of predictors is explained by a lower dimensional subspac
Externí odkaz:
http://arxiv.org/abs/2006.00261
A novel functional additive model is proposed which is uniquely modified and constrained to model nonlinear interactions between a treatment indicator and a potentially large number of functional and/or scalar pretreatment covariates. The primary mot
Externí odkaz:
http://arxiv.org/abs/2006.00266
This paper focuses on the problem of modeling and estimating interaction effects between covariates and a continuous treatment variable on an outcome, using a single-index regression approach. The primary motivation is to estimate an optimal individu
Externí odkaz:
http://arxiv.org/abs/2006.00267
Autor:
Abecasis, D.1 (AUTHOR) davidbecas@gmail.com, Ogden, R.2 (AUTHOR), Winkler, A. C.1 (AUTHOR), Gandra, M.1 (AUTHOR), Khallahi, B.3 (AUTHOR), Diallo, M.4 (AUTHOR), Cabrera-Castro, R.5,6 (AUTHOR), Weiller, Y.7 (AUTHOR), Erzini, K.1 (AUTHOR), Afonso, P.8,9 (AUTHOR), Assis, J.1,10 (AUTHOR)
Publikováno v:
Scientific Reports. 1/12/2024, Vol. 14 Issue 1, p1-14. 14p.