Search Results - "Chu, Wanghuan"

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  1. 1

    Geovisual Analytics Approach to Exploring Public Political Discourse on Twitter by Nelson, Jonathan K, Quinn, Sterling, Swedberg, Brian, Chu, Wanghuan, MacEachren, Alan M

    “…We introduce spatial patterns of Tweets visualization (SPoTvis), a web-based geovisual analytics tool for exploring messages on Twitter (or "tweets") collected…”
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    Journal Article
  2. 2

    FEATURE SCREENING FOR TIME-VARYING COEFFICIENT MODELS WITH ULTRAHIGH-DIMENSIONAL LONGITUDINAL DATA by Chu, Wanghuan, Li, Runze, Reimherr, Matthew

    Published in The annals of applied statistics (01-06-2016)
    “…Motivated by an empirical analysis of the Childhood Asthma Management Project, CAMP, we introduce a new screening procedure for varying coefficient models with…”
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    Journal Article
  3. 3

    FEATURE SELECTION FOR GENERALIZED VARYING COEFFICIENT MIXED-EFFECT MODELS WITH APPLICATION TO OBESITY GWAS by Chu, Wanghuan, Li, Runze, Liu, Jingyuan, Reimherr, Matthew

    Published in The annals of applied statistics (01-03-2020)
    “…Motivated by an empirical analysis of data from a genome-wide association study on obesity, measured by the body mass index (BMI), we propose a two-step…”
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    Journal Article
  4. 4

    Propensity score weighting for a continuous exposure with multilevel data by Schuler, Megan S., Chu, Wanghuan, Coffman, Donna

    “…Propensity score methods (e.g., matching, weighting, subclassification) provide a statistical approach for balancing dissimilar exposure groups on baseline…”
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    Journal Article
  5. 5

    Anhedonia: Its Dynamic Relations With Craving, Negative Affect, and Treatment During a Quit Smoking Attempt by Cook, Jessica W., Lanza, Stephanie T., Chu, Wanghuan, Baker, Timothy B., Piper, Megan E.

    Published in Nicotine & tobacco research (01-06-2017)
    “…Research shows that abstinence from tobacco leads to a withdrawal-related decrement in responsivity to nondrug rewards (ie, anhedonia). However, it remains…”
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    Journal Article
  6. 6

    Feature Screening for Ultra-High Dimensional Longitudinal Data by Chu, Wanghuan

    Published 01-01-2016
    “…High and ultrahigh dimensional data analysis is now receiving more and more attention in many scientific fields. Various variable selection methods have been…”
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    Dissertation