scholarly journals Flexible link functions in nonparametric binary regression with Gaussian process priors

Biometrics ◽  
2015 ◽  
Vol 72 (3) ◽  
pp. 707-719 ◽  
Author(s):  
Dan Li ◽  
Xia Wang ◽  
Lizhen Lin ◽  
Dipak K. Dey
Keyword(s):  
Gaussian Process ◽  
Flexible Link ◽  
Binary Regression ◽  
Link Functions

Nonparametric binary regression using a Gaussian process prior

2007 ◽  
Vol 4 (2) ◽  
pp. 227-243 ◽  
Author(s):  
Nidhan Choudhuri ◽  
Subhashis Ghosal ◽  
Anindya Roy
Keyword(s):  
Gaussian Process ◽  
Binary Regression

Flexible link functions in a joint model of binary and longitudinal data

Stat ◽  
2015 ◽  
Vol 4 (1) ◽  
pp. 320-330 ◽  
Author(s):  
Dan Li ◽  
Xia Wang ◽  
Seongho Song ◽  
Nanhua Zhang ◽  
Dipak K. Dey
Keyword(s):  
Longitudinal Data ◽  
Joint Model ◽  
Flexible Link ◽  
Link Functions

scholarly journals Risk factor identification in cystic fibrosis by flexible hierarchical joint models

2020 ◽  
pp. 096228022095036
Author(s):  
Weiji Su ◽  
Xia Wang ◽  
Rhonda D Szczesniak
Keyword(s):  
Risk Factors ◽  
Cystic Fibrosis ◽  
Lung Function ◽  
Gaussian Process ◽  
Joint Model ◽  
Model Assessment ◽  
Link Function ◽  
Pulmonary Exacerbation ◽  
Flexible Link ◽  
Joint Models

Cystic fibrosis (CF) is a lethal autosomal disease hallmarked by respiratory failure. Maintaining lung function and minimizing frequency of acute respiratory events known as pulmonary exacerbations are essential to survival. Jointly modeling longitudinal lung function and exacerbation occurrences may provide better inference. We propose a shared-parameter joint hierarchical Gaussian process model with flexible link function to investigate the impacts of both demographic and time-varying clinical risk factors on lung function decline and to examine the associations between lung function and occurrence of pulmonary exacerbation. A two-level Gaussian process is used to capture the nonlinear longitudinal trajectory, and a flexible link function is introduced to the joint model in order to analyze binary process. Bayesian model assessment criteria are provided in examining the overall performance in joint models and marginal fitting in each submodel. We conduct simulation studies and apply the proposed model in a local CF center cohort. In the CF application, a nonlinear structure is supported in modeling both the longitudinal continuous and binary processes. A negative association is detected between lung function and pulmonary exacerbation by the joint model. The importance of risk factors, including gender, diagnostic status, insurance status, and BMI, is examined in joint models.

scholarly journals Efficient estimation and prediction for the Bayesian binary spatial model with flexible link functions

Biometrics ◽  
2015 ◽  
Vol 72 (1) ◽  
pp. 289-298 ◽  
Author(s):  
Vivekananda Roy ◽  
Evangelos Evangelou ◽  
Zhengyuan Zhu
Keyword(s):  
Spatial Model ◽  
Efficient Estimation ◽  
Flexible Link ◽  
Estimation And Prediction ◽  
Link Functions

scholarly journals A new class of flexible link functions with application to species co-occurrence in cape floristic region

2013 ◽  
Vol 7 (4) ◽  
pp. 2180-2204 ◽  
Author(s):  
Xun Jiang ◽  
Dipak K. Dey ◽  
Rachel Prunier ◽  
Adam M. Wilson ◽  
Kent E. Holsinger
Keyword(s):  
Cape Floristic Region ◽  
Flexible Link ◽  
New Class ◽  
Link Functions
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