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Lu‐Lu Lin

Biographic Data

ID10241600
NAMELu‐Lu Lin
GIVEN NAMESLu‐Lu
FAMILY NAMELin
SIGNATURELIN L L
AFFILIATIONSWenzhou Medical University
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Fatal crashes and rare events logistic regression

    Open Access•Yuxie Xiao, Lulu Lin et al.•ARTICLE•Frontiers in Public Health•2024

    Objective: Fatal road accidents are statistically rare, posing challenges for accurate estimation through the classic logit model (LM). This study seeks to validate the efficacy of a rare events logistic model (RELM) in enhancing the precision of fatal crash estimations. Methods: Both LM and RELM were employed to examine the relationship between pertinent risk factors and the incidence of fatal crashes. Crash-injury datasets sourced from Hillsbor…

  • Social support and quality of life in migrant workers

    Open Access•Yufan Yang, Shuzhen Zhao et al.•ARTICLE•Frontiers in Public Health•2023

    Objective To investigate the relationship between social support and quality of life of Chinese migrant workers and to explore the mediating role of healthy lifestyles in social support and quality of life. Methods Using a stratified multi-stage sampling method, 1, 298 migrant workers and 983 urban workers across 110 neighborhood committees in five economic development zones in eastern China were surveyed. The social support level of participants…

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  • Social support and quality of life in migrant workers

    Open Access•Yufan Yang, Shuzhen Zhao et al.•ARTICLE•Frontiers in Public Health•2023

    Objective To investigate the relationship between social support and quality of life of Chinese migrant workers and to explore the mediating role of healthy lifestyles in social support and quality of life. Methods Using a stratified multi-stage sampling method, 1, 298 migrant workers and 983 urban workers across 110 neighborhood committees in five economic development zones in eastern China were surveyed. The social support level of participants…

  • Fatal crashes and rare events logistic regression

    Open Access•Yuxie Xiao, Lulu Lin et al.•ARTICLE•Frontiers in Public Health•2024

    Objective: Fatal road accidents are statistically rare, posing challenges for accurate estimation through the classic logit model (LM). This study seeks to validate the efficacy of a rare events logistic model (RELM) in enhancing the precision of fatal crash estimations. Methods: Both LM and RELM were employed to examine the relationship between pertinent risk factors and the incidence of fatal crashes. Crash-injury datasets sourced from Hillsbor…

Medicine (2 works) · Cardiovascular Health and Risk Factors (1 work) · Computer Science (1 work) · Economic growth (1 work) · Economics (1 work) · Environmental health (1 work) · Gerontology (1 work) · Health and Wellbeing Research (1 work) · Health disparities and outcomes (1 work) · Injury Epidemiology and Prevention (1 work)

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