Multiple-index varying-coefficient models for longitudinal data-Reference-Cited by-同舟云学术

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Multiple-index varying-coefficient models for longitudinal data

Published:2016-10-01 Issue:11 Volume:44 Page:1960-1978
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Lin Hongmei¹,Xu Wenchao¹,Zhang Riquan¹,Shi Jianhong²,Wang Yuedong³

Affiliation:

1. School of Statistics, East China Normal University, Shanghai, People's Republic of China

2. School of Mathematics and Computer Science, Shanxi Normal University, Linfen, People's Republic of China

3. Department of Statistics and Applied Probability, University of California, Santa Barbara, CA, USA

Funder

National Natural Science Foundation of China

Doctoral Fund of Ministry of Education of China

Program of Shanghai Subject Chief Scientist

111 Project of China

Fund of ECNU for Overseas Studies, International Conferences and Domestic Scholar Visits

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2016.1238052

Reference25 articles.

1. Effect of Change in Vascular Access on Patient Mortality in Hemodialysis Patients

2. Type of Vascular Access and Survival among Incident Hemodialysis Patients: The Choices for Healthy Outcomes in Caring for ESRD (CHOICE) Study

3. Conversion of Vascular Access Type Among Incident Hemodialysis Patients: Description and Association With Mortality

4. Efficient Estimation and Inferences for Varying-Coefficient Models

5. Type of vascular access and mortality in U.S. hemodialysis patients

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1. Time varying mixed effects model with fused lasso regularization;Journal of Applied Statistics;2020-07-10

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