Lulu Lin
Biographic Data
| ID | 8932554 |
|---|---|
| NAME | Lulu Lin |
| GIVEN NAMES | Lulu |
| FAMILY NAME | Lin |
| SIGNATURE | LIN L |
| AFFILIATIONS | Wenzhou Medical University |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Fatal crashes and rare events logistic regression
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…
Global prevalence of depressive symptoms among people living with HIV/Aids
Social support and quality of life in migrant workers
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…
No prominent works on this page.
Social support and quality of life in migrant workers
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
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…
Global prevalence of depressive symptoms among people living with HIV/Aids
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)