Cai Li

Works (7)

Updated: August 6th, 2023 21:16

2021 journal article

Joint model for survival and multivariate sparse functional data with application to a study of Alzheimer's Disease

BIOMETRICS, 78(2), 435–447.

By: C. Li*, L. Xiao n  & S. Luo *

author keywords: EM algorithm; functional mixed model; multivariate longitudinal data; smoothing; survival
MeSH headings : Alzheimer Disease / diagnostic imaging; Databases, Factual; Disease Progression; Humans; Neuroimaging / methods
TL;DR: A multivariate functional mixed model is proposed to identify the shared progression pattern and outcome‐specific progression patterns of the outcomes, which enables more interpretable modeling of associations between outcomes and AD onset. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: March 1, 2021

2020 journal article

Correlation models for monitoring fetal growth

STATISTICAL METHODS IN MEDICAL RESEARCH, 29(10), 2795–2813.

By: Y. Feng  n, L. Xiao n , C. Li n, S. Chen n & E. Ohuma *

author keywords: Fetal health; longitudinal study; correlation; reference chart
MeSH headings : Female; Femur / diagnostic imaging; Fetal Development; Gestational Age; Humans; Longitudinal Studies; Pregnancy; Ultrasonography, Prenatal
TL;DR: Using data from the Fetal Growth Longitudinal Study of the INTERGROWTH-21st project, the longitudinal dependence of fetal head circumference, biparietal diameter, occipito-frontal diameter, abdominal circumference, and femur length is modelled using a two-stage approach. (via Semantic Scholar)
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5. Gender Equality (Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: April 20, 2020

2020 journal article

Fast covariance estimation for multivariate sparse functional data

STAT, 9(1).

By: C. Li n, L. Xiao n  & S. Luo *

author keywords: bivariate smoothing; covariance function; functional principal component analysis; longitudinal data; multivariate functional data; prediction
TL;DR: A fast algorithm for selecting the smoothing parameters in covariance smoothing using leave‐one‐subject‐out cross‐validation is derived and applied to an Alzheimer's disease study with multiple longitudinal outcomes. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: March 1, 2021

2019 journal article

Conditional Analysis for Mixed Covariates, with Application to Feed Intake of Lactating Sows

JOURNAL OF PROBABILITY AND STATISTICS, 2019.

By: S. Park *, C. Li n, S. Benavides n, E. Heugten  n & A. Staicu n 

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Sources: Web Of Science, NC State University Libraries
Added: August 12, 2019

2017 journal article

Fast covariance estimation for sparse functional data

STATISTICS AND COMPUTING, 28(3), 511–522.

By: L. Xiao n , C. Li n, W. Checkley * & C. Crainiceanu *

author keywords: Bivariate smoothing; FACEs; fPCA
TL;DR: The proposed method is a bivariate spline smoother that is designed for covariance smoothing and can be used for sparse functional or longitudinal data and compares favorably against several commonly used methods. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries
Added: August 6, 2018

2017 article

Fast covariance estimation for sparse functional data (vol 28, pg 511, 2017)

Xiao, L., Li, C., Checkley, W., & Crainiceanu, C. (2018, May). STATISTICS AND COMPUTING, Vol. 28, pp. 523–523.

By: L. Xiao n , C. Li n, W. Checkley * & C. Crainiceanu *

TL;DR: The article, “Fast covariance estimation for sparse functional data”, written by Luo Xiao, Cai Li, William Checkley and Ciprian Crainiceanu, was originally published electronically on the publisher’s Internet portal (currently SpringerLink) on 11 April 2017 without open access. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2017 journal article

svt: Singular value thresholding in MATLAB

Journal of Statistical Software, 81(CN2).

By: C. Li & H. Zhou

Source: NC State University Libraries
Added: August 6, 2018

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