8 Result(s)
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Article
Jane-Ling Wang
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Article
Open AccessNetwork evolution of regional brain volumes in young children reflects neurocognitive scores and mother’s education
The maturation of regional brain volumes from birth to preadolescence is a critical developmental process that underlies emerging brain structural connectivity and function. Regulated by genes and environment,...
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Open AccessTime dynamics of COVID-19
We apply tools from functional data analysis to model cumulative trajectories of COVID-19 cases across countries, establishing a framework for quantifying and comparing cases and deaths across countries longit...
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Age-dynamic networks and functional correlation for early white matter myelination
The maturation of the myelinated white matter throughout childhood is a critical developmental process that underlies emerging connectivity and brain function. In response to genetic influences and neuronal ac...
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Open AccessIdentifying Differentially Expressed Genes for Time-course Microarray Data through Functional Data Analysis
Identification of differentially expressed (DE) genes across two conditions is a common task with microarray. Most existing approaches accomplish this goal by examining each gene separately based on a model an...
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Timeliness and follow-up patterns of cervical cancer detection in a cohort of medically underserved California women
This study examines factors associated with timely follow-up after Pap test in a program providing cervical cancer detection services to medically underserved California women.
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Discussion: Forecasting functional time series
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Nonparametric estimation of hazard functions and their derivatives under truncation model
Nonparametric kernel estimators for hazard functions and their derivatives are considered under the random left truncation model. The estimator is of the form of sum of identically distributed but dependent ra...
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Locally adaptive hazard smoothing
We consider nonparametric estimation of hazard functions and their derivatives under random censorship, based on kernel smoothing of the Nelson (1972) estimator. One critically important ingredient for smoothi...
