Functional linear models for zero-inflated count data with application to modeling hospitalizations in patients on dialysis-Reference-Cited by-同舟云学术

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Functional linear models for zero-inflated count data with application to modeling hospitalizations in patients on dialysis

Published:2014-06-19 Issue:27 Volume:33 Page:4825-4840
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Şentürk Damla¹,Dalrymple Lorien S.²,Nguyen Danh V.³⁴

Affiliation:

1. Department of Biostatistics; University of California; Los Angeles CA U.S.A.

2. Division of Nephrology, Department of Medicine; University of California; Davis CA U.S.A.

3. Department of Medicine; University of California; Irvine CA U.S.A.

4. Institute for Clinical and Translational Science; University of California; Irvine CA U.S.A.

Funder

National Institute of Diabetes and Digestive and Kidney Diseases

National Center for Advancing Translational Sciences

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/sim.6241/fullpdf

Reference39 articles.

1. Functional Data Analysis

2. Generalized linear models with functional predictors;James;Journal of the Royal Statistical Society, Series B,2002

3. Functional adaptive model estimation;James;Journal of the American Statistical Association,2005

4. Functional modeling and classification of longitudinal data;Müller;Scandinavian Journal of Statistics,2005

5. Generalized multilevel functional regression;Crainiceanu;Journal of the American Statistical Association,2009

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1. A functional regression model for the retrospective assessment of asbestos exposure among Venetian dock workers;Environmental and Ecological Statistics;2024-03-15

2. Long-Term Care Home Size Association with COVID-19 Infection and Mortality in Catalonia in March and April 2020;Epidemiologia;2022-09-05

3. Conditional Akaike Information Criteria for a Class of Poisson Mixture Models with Random Effects;Scandinavian Journal of Statistics;2016-08-04

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