PMID- 37365909
OWN - NLM
STAT- MEDLINE
DCOM- 20230905
LR  - 20230913
IS  - 1097-0258 (Electronic)
IS  - 0277-6715 (Linking)
VI  - 42
IP  - 22
DP  - 2023 Sep 30
TI  - Varying-coefficients for regional quantile via KNN-based LASSO with applications 
      to health outcome study.
PG  - 3903-3918
LID - 10.1002/sim.9839 [doi]
AB  - Health outcomes, such as body mass index and cholesterol levels, are known to be 
      dependent on age and exhibit varying effects with their associated risk factors. 
      In this paper, we propose a novel framework for dynamic modeling of the 
      associations between health outcomes and risk factors using varying-coefficients 
      (VC) regional quantile regression via K-nearest neighbors (KNN) fused Lasso, 
      which captures the time-varying effects of age. The proposed method has strong 
      theoretical properties, including a tight estimation error bound and the ability 
      to detect exact clustered patterns under certain regularity conditions. To 
      efficiently solve the resulting optimization problem, we develop an alternating 
      direction method of multipliers (ADMM) algorithm. Our empirical results 
      demonstrate the efficacy of the proposed method in capturing the complex 
      age-dependent associations between health outcomes and their risk factors.
CI  - (c) 2023 John Wiley & Sons Ltd.
FAU - Park, Seyoung
AU  - Park S
AD  - Department of Statistics, Sungkyunkwan University, Seoul, Republic of Korea.
FAU - Lee, Eun Ryung
AU  - Lee ER
AD  - Department of Statistics, Sungkyunkwan University, Seoul, Republic of Korea.
FAU - Hong, Hyokyoung G
AU  - Hong HG
AUID- ORCID: 0000-0002-4280-6243
AD  - Biostatistics Branch, Division of Cancer Epidemiology and Genetics, NCI/NIH, 
      Bethesda, Maryland, USA.
LA  - eng
PT  - Journal Article
DEP - 20230627
PL  - England
TA  - Stat Med
JT  - Statistics in medicine
JID - 8215016
SB  - IM
MH  - Humans
MH  - *Algorithms
MH  - Risk Factors
MH  - Body Mass Index
OTO - NOTNLM
OT  - K-nearest neighbors
OT  - Lasso
OT  - health outcome study
OT  - regional quantile regression
OT  - varying-coefficients
EDAT- 2023/06/27 06:41
MHDA- 2023/09/05 06:42
CRDT- 2023/06/27 03:14
PHST- 2023/06/04 00:00 [revised]
PHST- 2022/07/19 00:00 [received]
PHST- 2023/06/18 00:00 [accepted]
PHST- 2023/09/05 06:42 [medline]
PHST- 2023/06/27 06:41 [pubmed]
PHST- 2023/06/27 03:14 [entrez]
AID - 10.1002/sim.9839 [doi]
PST - ppublish
SO  - Stat Med. 2023 Sep 30;42(22):3903-3918. doi: 10.1002/sim.9839. Epub 2023 Jun 27.