Showing 1 - 4 results of 4 for search '"longitudinal data"', query time: 0.10s Refine Results
  1. 1

    The composite quantile regression for longitudinal data using the mixture of asymmetric laplace distributions by Jin, Ye

    Published 2019
    “…We propose a linear mixture quantile regression approach, with composite quantile regression (CQR) as a special case, to analyze continuous longitudinal data via a finite mixture of asymmetric Laplace distributions (ALD). …”
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    Final Year Project (FYP)
  2. 2

    Influence of partner effect, dissimilarity and illusion in interpersonal perceptions on interpersonal trust and relationship mindset. by Zhou, Liang., Hong, Alvin Fun Hua.

    Published 2009
    “…Current study investigated the self and partner’s perceptions of romantic couples regarding the relationship commitment and explored the connection between these perceptions and two relationship-related constructs: interpersonal trust and relationship mindset. Longitudinal data were collected from 104 undergraduate couples in a Canadian university and analysis was performed by multilevel modeling. …”
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    Final Year Project (FYP)
  3. 3

    The association of reduced weekly working hours and the mental health of working individuals over 40 by Goh, Ariele Jia Ling, Lim, Maxine Ying Yi, George, Sonam

    Published 2023
    “…Thus, our study aims to fill in these research gaps and study the association of reduced weekly working hours and depression, as well as observe any heterogeneous responses by regions when weekly working hours are reduced. Utilizing longitudinal data from the Survey of Health, Ageing and Retirement in Europe (SHARE), Korean Longitudinal Study of Aging (KLoSA), and China Family Panel Studies (CFPS) from the years 2004 to 2019, we obtained 83,991 observations across 27,940 unique individuals from 21 countries. …”
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    Final Year Project (FYP)
  4. 4

    Effects of mental and physical health on productivity by Ang, Angeline Jing Wen, Koh, Zi Wei, Soen, Yasmine Sin Wee

    Published 2022
    “…As physical and mental health impose a significant burden on people and reduce their productivity, this study aims to explore the correlation between the physical and mental health of individuals and their productivity. Utilising longitudinal data collected from the United States of America (USA) - Health and Retirement Study (HRS) and the Survey of Health, Ageing and Retirement in Europe (SHARE) within the time period of 1992 till 2020, we gathered 282,181 unique observations and measured their loss in productivity through the numbers of productive years lost (PYL). …”
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    Final Year Project (FYP)