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  1. Article

    Open Access

    Network 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,...

    Yidong Zhou, Hans-Georg Müller, Changbo Zhu, Yaqing Chen in Scientific Reports (2023)

  2. Article

    Open Access

    Time 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...

    Cody Carroll, Satarupa Bhattacharjee, Yaqing Chen, Paromita Dubey in Scientific Reports (2020)

  3. No Access

    Article

    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...

    **ongtao Dai, Hans-Georg Müller, Jane-Ling Wang in Brain Structure and Function (2019)

  4. No Access

    Chapter

    An Odyssey to Incomplete Data: Winfried Stute’s Contribution to Survival Analysis

    In this article, we revisit Winfried Stute’s contributions to survival analysis, which constitute a significant portion of his publications. Instead of a comprehensive review of his work in survival analysis, ...

    Jane-Ling Wang in From Statistics to Mathematical Finance (2017)

  5. No Access

    Chapter and Conference Paper

    A Longitudinal Functional Analysis Framework for Analysis of White Matter Tract Statistics

    Many longitudinal imaging studies have been/are being widely conducted to use diffusion tensor imaging (DTI) to better understand white matter maturation in normal controls and diseased subjects. There is an u...

    Ying Yuan, John H. Gilmore, **ujuan Geng in Information Processing in Medical Imaging (2013)

  6. Article

    Open Access

    Identifying 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...

    Kun Chen, Jane-Ling Wang in Statistics in Biosciences (2010)

  7. No Access

    Article

    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.

    Farzaneh Tabnak, Hans-Georg Müller, Jane-Ling Wang in Cancer Causes & Control (2010)

  8. No Access

    Article

    Discussion: Forecasting functional time series

    Jeng-Min Chiou, Hans-Georg Müller in Journal of the Korean Statistical Society (2009)

  9. No Access

    Chapter

    Statistical Tools for the Analysis of Nutrition Effects on the Survival of Cohorts

    We discuss various methods which can be employed for the comparative analysis of samples of response curves. In the application discussed here, these curves are hazard functions, each generated by the survival...

    Hans-Georg Müller, Jane-Ling Wang in Mathematical Modeling in Experimental Nutrition (1998)

  10. No Access

    Article

    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...

    Ülkü Gürler, Jane-Ling Wang in Annals of the Institute of Statistical Mathematics (1993)

  11. Article

    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...

    Hans-Georg Müller, Jane-Ling Wang in Probability Theory and Related Fields (1990)