Showing 81 - 94 results of 94 for search '"quantile regression"', query time: 0.05s Refine Results
  1. 81

    Improving the Generalizability and Robustness of Large-Scale Traffic Signal Control by Tianyu Shi, Francois-Xavier Devailly, Denis Larocque, Laurent Charlin

    Published 2024-01-01
    “…In particular, we use implicit quantile networks (IQN) to model the state-action return distribution with quantile regression. For traffic signal control problems, an ensemble of standard RL and DisRL yields superior performance across different scenarios, including different levels of missing sensor data and traffic flow patterns. …”
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  2. 82

    Topographic correlation of microperimetry with foveal microstructure characteristics in idiopathic epiretinal membrane patients with an ectopic inner foveal layer by Qianqian Wang, Congyao Wang, Yihua Su, Fenfen Yu, Tingting Chen, Xia Dong, Pengxia Wan

    Published 2025-02-01
    “…LASSO regression and quantile regression analyses were performed to identify the spatial distribution correlation between foveal light sensitivity and foveal microstructure parameters. …”
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  3. 83

    Evaluation of the impact of PEPFAR transition on retention in care in South Africa’s Western Cape Province by J Chiliza, R Laing, F G Feeley, A T Brennan

    Published 2023-12-01
    “…We used adjusted quantile regression to estimate the effect of the PEPFAR pull-out on RIC. …”
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  4. 84

    Association of ultra-processed food-related metabolites with selected biochemical markers in the UK Biobank by Anthony Kityo, Byeonggeun Choi, Jung-Eun Lee, Chulho Kim, Sang-Ah Lee

    Published 2025-01-01
    “…Associations between UPF and UNPF-related metabolites, and serum C-reactive protein (CRP), insulin-like growth factor-1(IGF-1), sex hormone-binding globulin (SHBG), and testosterone were examined using multiple quantile regression. Results Elastic net model identified 17 and 15 metabolites uniquely related to UPF and UNPF intake, respectively. …”
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  5. 85

    Socio-demographic and clinical determinants of self-care in adults with type 2 diabetes: a multicenter cross-sectional study in Zhejiang province, China by Xuefen Lan, Xiaozhen Ji, Xiaojia Zheng, Xiaoyu Ding, Hongyi Mou, Shunfei Lu, Bin Ye

    Published 2025-01-01
    “…Self-care self-efficacy is a critical factor affecting the self-care process, which was measured by the SCODI. Multiple quantile regression models were employed to identify the determinants of each self-care component and self-care self-efficacy. …”
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  6. 86

    Timing of surgery in acute burn care: A multicentre registry-based cohort study by Roos F.C. Salemans, Denise van Uden, Ymke Lucas, Anouk Pijpe, Eelke Bosma, Esther Middelkoop, Michiel H.J. Verhofstad, Margriet E. van Baar, Cornelis H. van der Vlies

    Published 2025-01-01
    “…Multivariable logistic regression identified predictors of early surgery, while trends in timing were assessed with quantile regression. The median time to surgery was 14 days (Q1–Q3: 9.0–19.0), with 670 of 3291 patients receiving early surgery (20 %). …”
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  7. 87

    Changes in the critical nutrient content of packaged foods and beverages after the full implementation of the Chilean Food Labelling and Advertising Law: a repeated cross-sectional... by Natalia Rebolledo, Pedro Ferrer-Rosende, Marcela Reyes, Lindsey Smith Taillie, Camila Corvalán

    Published 2025-01-01
    “…To assess the changes in proportions, we used Firth’s bias-reduced logistic regression models and the Cochran-Armitage test for trends. Quantile regression was used to evaluate changes in nutrient content. …”
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  8. 88

    Adipocyte heterogeneity and tumor infiltration of adipose tissue in patients with metastatic breast cancer by Hava Izci, Gitte Zels, Anirudh Pabba, Marion Maetens, François Richard, Maxim De Schepper, Josephine Van Cauwenberge, Ha-Linh Nguyen, Kristien Borremans, Sophia Leduc, Karen Van Baelen, Sigrid Hatse, Tatjana Geukens, Amena Mahdami, Hans Wildiers, Patrick Neven, Wouter Van Den Bogaert, Giuseppe Floris, Christine Desmedt

    Published 2025-02-01
    “…Distant adipocyte size was quantified using digital pathology, and tumor infiltration was assessed histologically. Linear mixed quantile regression analyzed the associations between adipocyte size, fat depot type and major histological subtypes. …”
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  9. 89

    N‐terminal pro brain natriuretic peptide reference values in community‐dwelling older adults by Ulrike Braisch, Wolfgang Koenig, Dietrich Rothenbacher, Michael Denkinger, Nele Friedrich, Stephan B. Felix, Till Ittermann, Marcus Dörr, Dhayana Dallmeier

    Published 2022-06-01
    “…Methods and results We analysed established NT‐proBNP predictors using quantile regression among 2459 participants of two‐independent population‐based cohorts located in Germany, the Activity and Function in the Elderly Study (ActiFE, n = 1450) and the Study of Health in Pomerania (SHIP‐TREND‐0, n = 1009). …”
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  10. 90

    Relationship between changes in the triglyceride glucose-body mass index and frail development trajectory and incidence in middle-aged and elderly individuals: a national cohort st... by Kai Guo, Qi Wang, Lin Zhang, Rui Qiao, Yujia Huo, Lipeng Jing, Xiaowan Wang, Zixuan Song, Siyu Li, Jinming Zhang, Yanfang Yang, Jinli Mahe, Zhengran Liu

    Published 2024-08-01
    “…Nonlinear relationships were explored using restricted cubic splines, and a linear mixed-effects model was used to evaluate FI development speed. Weighted quantile regression was used to identify the primary contributing factors. …”
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  11. 91

    Risk factors affecting polygenic score performance across diverse cohorts by Daniel Hui, Scott Dudek, Krzysztof Kiryluk, Theresa L Walunas, Iftikhar J Kullo, Wei-Qi Wei, Hemant Tiwari, Josh F Peterson, Wendy K Chung, Brittney H Davis, Atlas Khan, Leah C Kottyan, Nita A Limdi, Qiping Feng, Megan J Puckelwartz, Chunhua Weng, Johanna L Smith, Elizabeth W Karlson, Regeneron Genetics Center, Penn Medicine BioBank, Gail P Jarvik, Marylyn D Ritchie

    Published 2025-01-01
    “…We observed overlap between covariates that had significant R2 differences among strata and interaction effects – across all covariates, their main effects on BMI were correlated with their maximum R2 differences and interaction effects (0.56 and 0.58, respectively), suggesting high-PGSBMI individuals have highest R2 and increase in PGS effect. Using quantile regression, we show the effect of PGSBMI increases as BMI itself increases, and that these differences in effects are directly related to differences in R2 when stratifying by different covariates. …”
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  12. 92

    Rural-Urban Differences in Health Care Expenditures: Empirical Data from US Households by Wei-Chen Lee, Luohua Jiang, Charles D. Phillips, Robert L. Ohsfeldt

    Published 2014-01-01
    “…The results of quantile regressions suggest that the highest users (at the upper quantiles) of medication and total expenditure experienced the strongest positive effects of living in rural areas. …”
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  13. 93

    The Effects of Monetary Policies on the Capital Structures of the Firms by Octávio Valente Campos, Wagner Moura Lamounier

    Published 2022-01-01
    “…The data collected refer to the years from 2009 to 2019, and the methodology used for data analysis is through quantile regressions and panel data models, using the GMM approach. …”
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  14. 94