Showing 21 - 40 results of 91 for search '"selection bias"', query time: 0.06s Refine Results
  1. 21

    ChestX-Transcribe: a multimodal transformer for automated radiology report generation from chest x-rays by Prateek Singh, Sudhakar Singh

    Published 2025-01-01
    “…However, the reliance on the Indiana University dataset introduces potential limitations, including selection bias, as the dataset is collected from specific hospitals within the Indiana Network for Patient Care. …”
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    Article
  2. 22

    Perioperative emergency laparotomy pathway for patients undergoing emergency laparotomy: A propensity score matched study by Joel Wen Liang Lau, Janardhan Baliga, Faheem Khan, Ying Xin Teo, Jonathan Ming Jie Yeo, Vincent Zhiwei Yeow, Christine Xia Wu, Stephanie Teo, Tracy Jia Hui Goh, Philip Iau, Emergency Laparotomy Group

    Published 2024-12-01
    “…Propensity scoring with a 1:1 matching method was utilised to reduce confounding and selection bias. The primary outcomes examined were LOS, hospitalisation costs and surgical morbidity, while secondary outcomes included 30-day mortality and adherence to the intervention protocol. …”
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  3. 23

    The prevalence and risk factors of diabetes and hypertension among police personnel: A population-based cross-sectional study by Deepak V. Chaturvedi, Digant Gupta, Darpan M. Maheshgauri, Gauri E. Yadav, Dhrubajyoti J. Debnath, Asmita D. Chaturvedi

    Published 2025-01-01
    “…Although studies have been conducted to assess the health status of police personnel in India, most of them suffer from small sample sizes, selection bias, and poor generalizability. Objectives: This large-scale study evaluated the prevalence of diabetes and hypertension along with their risk factors among police personnel in Mumbai, India. …”
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    Article
  4. 24

    Cesarean section and the gestational duration of subsequent pregnancies: A nationwide register-based cohort study. by Felix Evers, Christopher Flatley, Karin Ytterberg, Julius Juodakis, Pol Solé-Navais, Bo Jacobsson

    Published 2025-01-01
    “…However, this risk is based on studies which have not fully accounted for selection bias, and the studied outcomes have been limited to the study of early deliveries. …”
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    Article
  5. 25

    How urban welfare affects the hukou selection of rural migrants that belong to dual-hukou families in china by Chen Lu, Jian Chen, Jiewei Li, Xuetong Wang

    Published 2025-01-01
    “…These findings offer robust insights for policymaking, demonstrating resilience against sample self-selection bias and reverse causality.…”
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    Article
  6. 26
  7. 27

    Evaluation of routinely collected records for dementia outcomes in UK: a prospective cohort study by Kay-Tee Khaw, Carol Brayne, Robert Luben, Shabina Hayat, Nicholas Wareham

    Published 2022-06-01
    “…We present potential selection biases that might occur depending on whether cause of death, or primary and secondary care data sources are used. …”
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    Article
  8. 28

    Application of Perclose ProGlide closure device in transbrachial endovascular intervention by Peng Zhao, Yao Yao, Quan Yang, Ning Wang, Liang Wang, Qianquan Ma, Wenchao Zhang

    Published 2025-01-01
    “…Two patients in the manual compression group reported long-term numbness around the puncture site, while no similar neurological dysfunction was observed in the ProGlide group (P = 0.243). Although selection bias was present in this retrospective study, the Perclose ProGlide system presents a beneficial closure method for patients undergoing transbrachial access.…”
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  9. 29

    Risk of bias and confounding of observational studies of Zika virus infection: A scoping review of research protocols. by Ludovic Reveiz, Michelle M Haby, Ruth Martínez-Vega, Carlos E Pinzón-Flores, Vanessa Elias, Emma Smith, Mariona Pinart, Nathalie Broutet, Francisco Becerra-Posada, Sylvain Aldighieri, Maria D Van Kerkhove

    Published 2017-01-01
    “…Potential confounders need to be measured where known and controlled for in the analysis. Selection bias due to non-random selection is a significant issue, particularly in the case-control design, and losses to follow-up is equally important for the cohort design.…”
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    Article
  10. 30

    Cataract Surgery with or without Intraocular Lens Implantation in Pediatric Uveitis: A Systematic Review with Meta-Analyses by Diana Chabané Schmidt, Moug Al-Bakri, Asrin Rasul, Regitze Bangsgaard, Yousif Subhi, Daniella Bach-Holm, Line Kessel

    Published 2021-01-01
    “…However, limitations of the retrospective design and the presence of selection bias necessitate a careful interpretation.…”
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    Article
  11. 31

    Ensemble Deep Learning Object Detection Fusion for Cell Tracking, Mitosis, and Lineage by Imad Eddine Toubal, Noor Al-Shakarji, D. D. W. Cornelison, Kannappan Palaniappan

    Published 2024-01-01
    “…However, manual tracking is labor-intensive, tedious, and prone to selection bias and errors. Building upon our previous work, we propose a new deep learning-based method, EDNet, for cell detection, tracking, and motility analysis that is more robust to shape across different cell lines, and models cell lineage and proliferation. …”
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    Article
  12. 32

    Patient safety indicators for virtual consultations in primary care: A systematic review protocol. by Tetiana Lunova, Ulrik Bak Kirk, Geva Greenfield, Andrée Rochfort, Ara Darzi, Ana Luisa Neves

    Published 2025-01-01
    “…By publishing this protocol, we demonstrate the transparency and reliability of our research strategy and aim to minimize the risk of selection bias. Potential limitations include the heterogeneity of measures and outcomes, as well as a lower-than-expected number of studies in subgroup analyses, which may negatively influence the statistical significance in data synthesis.…”
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    Article
  13. 33

    The impact of multidimensional poverty on antenatal care service utilisation in Malawi by Amanda Grace Chatata, Gowokani Chijere Chirwa

    Published 2025-01-01
    “…We use data from the 2015–16 Demographic Health Survey (DHS), which includes information on women aged 15–49 who gave birth within five years of the survey. To mitigate selection bias, we use Propensity Score Matching (PSM) techniques for our principal analysis. …”
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    Article
  14. 34

    The effect of traditional agricultural practices on the food consumption of households facing extreme weather events in Tanzania by Tim Wegenast, Niklas Hänze, Roos Haer, Marcel Birulés

    Published 2025-01-01
    “…We rely on a matched differences-in-differences approach to account for selection bias and allow for causal inference. Results Our matching models consistently show that the planting of traditional crops (in particular sorghum) promotes dietary diversity and reduces the need for food rationing in households experiencing climate shocks. …”
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    Article
  15. 35

    Prognosis of invasive encapsulated follicular variant and classical papillary thyroid carcinoma: a propensity score-matched study using the SEER database by Shuai Jin, Lang Xie, Gongyou Zhang, Lei Liu, Kaide Xia, Hongzhou Liu, Haiwang Zhang, Peng Li

    Published 2025-01-01
    “…Propensity score matching (PSM) was employed to adjust for confounding variables and reduce selection bias. Kaplan-Meier survival curves and Cox regression models were used to evaluate overall survival (OS) between the two groups. …”
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    Article
  16. 36

    Effects of Breast-Conserving Surgery Combined with Sentinel Lymph Node Biopsy on Breast Cosmetic Appearance and Systemic Stress of Patients with Breast Cancer by Jing Ji, Junfeng Shi, Xia Da, Guozhu Wang, Jin Xu

    Published 2025-01-01
    “…Propensity score matching was performed to minimize selection bias based on baseline characteristics, resulting in two matched groups of 55 patients each. …”
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    Article
  17. 37

    Paternal family history of premature atherosclerotic disease and perinatal death: A population-based cohort study. by Shwe Sin Win, Kari Klungsøyr, Grace M Egeland, Gerhard Sulo

    Published 2025-01-01
    “…Potential misclassification of family history and selection bias should be considered.<h4>Conclusion</h4>Results of this large, cohort study including half-a million births, do not indicate an association between paternal family history of premature atherosclerotic disease and perinatal death.…”
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  18. 38

    Impact of multiple maize technology package adoption on the production efficiency and food security of smallholder farmers in Ethiopia: Evidence from the Sidama region by Ashenafi Guye, Tewodros Tefera, Million Sileshi, Abdi-Khalil Edriss

    Published 2025-01-01
    “…The cross-sectional data of 424 sample farmers owing 545 maize plots were collected using multistage sampling approaches. The selection-bias corrected multinomial endogenous switching regression (MESR) model was employed to assess the impact of improved maize seed, chemical fertilizers, and row planting adoption on the production efficiency and food security of smallholder maize-producing farmers. …”
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  19. 39

    Diabetes Increases Risk of Cardiovascular Events in Patients Receiving Permanent Pacemaker: A Propensity Score-Matched Cohort Study by Huang-Chung Chen, Wen-Hao Liu, Chien-Hao Tseng, Yung-Lung Chen, Wei-Chieh Lee, Yen-Nan Fang, Shaur-Zheng Chong, Mien-Cheng Chen

    Published 2022-01-01
    “…Propensity score matching (PSM) was applied to reduce selection bias between the study groups. Result. During a mean follow-up period of 7.8±4.8 years, 264 patients had a cardiovascular event. …”
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    Article
  20. 40

    Comparison of clinician- and patient-reported outcome measures in 95 abdominoplasty cases using BODY-Q and MCCRO-Q by Samuel Thomas Kitching, Claudia Rocco, Rachel Harwood, Gary Ross

    Published 2025-03-01
    “…None of the tested factors significantly affected how the patients scored these outcomes.We demonstrated that clinicians underestimate the improvement in outcomes described by the patients and they need to be aware of their selection bias when consulting with patients preoperatively, as patients reported improvement regardless of the pre-operative or post-operative variable tested.…”
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