Relative Age Effect (RAE) Among Malaysia University Athletes by Nor Ashikin Hassan, Zamri Abd. Kahar, Ali Md Nadzalan, Jeffrey Fook Lee Low, Abd Muiz Nor Azmi, Rivan Saghita Pratama, Septyaningrum Putri Purwoto

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On the current and future potential of simulations based on directed acyclic graphs by Lutz P. Breitling, Anca D. Dragomir, Chongyang Duan, George Luta

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Unbiased Isotonic Regression Tree for Discovering Hidden Heterogeneity in Monotonicity Constraints by Doowon Choi

“…This study first explores the possibility of selection bias on split variables in the isotonic regression tree and proposes an unbiased isotonic regression tree that mitigates the issue of the selection bias problem. …”
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Unsupervised Domain Adaptation Using Exemplar-SVMs with Adaptation Regularization by Yiwei He, Yingjie Tian, Jingjing Tang, Yue Ma

“…However, in many real-world applications, there also exist problems of sample selection bias among instances in a domain; this would reduce the generalization performance of learners. …”
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Association between Metformin Use and Cancer Stage at Diagnosis among Elderly Medicare Beneficiaries with Preexisting Type 2 Diabetes Mellitus and Incident Prostate Cancer by Amit D. Raval, Malcolm D. Mattes, Suresh Madhavan, Xiaoyun Pan, Wenhui Wei, Usha Sambamoorthi

“…After adjusting for the observed selection bias and other independent variables, metformin use was associated with a 32% reduction in the risk of advanced prostate cancer (adjusted odds ratio, AOR: 0.68, 95% confidence interval, CI: 0.48, 0.97). …”
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Quality of the systematic reviews in cochrane multiple sclerosis related articles by Masoud Zeynalzadeh, Nasim Mahdavi, Morteza Atayi, Hanieh Salehi-Pourmehr, Sakineh Hajebrahimi

“…However, from 2016 till 2023, the most common risk of bias shifted to ‘low outcome’ for Random Sequence Generation (selection bias). Conclusion: Despite significant enhancements in improving the quality of studies, there is still a far way to achieve the ideal quality.…”
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Comment sortir de prison ? Le rôle des statistiques pénitentiaires dans la compréhension des comportements de récidive by Anaïs Henneguelle

“…In the third and last part, we explore another blind spot of the econometric method, namely selection bias. How do judges choose who will obtain an alternative to prison?…”
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On using a non-probability sample for the estimation of population parameters by Ieva Burakauskaitė, Andrius Čiginas

“… We aim to find a way to effectively integrate a non-probability (voluntary) sample under the data framework, where the study variable is also observed in a probability sample of some statistical survey. The selection bias that arises from voluntary participation in the survey is corrected by estimating the inclusion into the sample probabilities (propensity scores) for the units in the non-probability sample. …”
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The widening gender wage gap in the gig economy in China: the impact of digitalisation by Jiachen Han, Mingming Li, Shi Li, Yingying Hu

“…Utilising the China Labour Dynamics Survey data from 2014, 2016, and 2018, and applying the Bourguignon, Fournier, and Gurgand model to correct selection bias, this study reveals that, digitalisation has exacerbated gender wage gaps, with the wage growth of female gig workers significantly lagging behind their male counterparts, especially among married and older cohorts. …”
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How does climate shock affect technology adoption in rice production? by Thai Phan Nguyen, Duc Kien Nguyen, Quang Dung Truong

“…This study utilised VARHS (The Vietnam Access to Resources Household Survey) panel data from 2012 to 2018 and employed regression analysis following the application of propensity score matching (PSM) to address potential selection bias caused by drought and flood shocks. The findings indicated that households tend to adopt the improved variety of rice and organic fertilisers since households suffer the shock from the drought. …”
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Interaction Design of Educational App Based on Collaborative Filtering Recommendation by Ying Xu, Tse-Kian Neo, Hin Hew Soon

“…Simultaneously, this paper combines user activity, item popularity, and time factors to comprehensively measure user visibility of items and incorporates them into the collaborative filtering recommendation algorithm in order to effectively mitigate the effects of data sparsity and user selection bias and improve recommendation results.…”
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Whiplash Injuries: An Update by Robert W Teasell, Allan P Shapiro

“…Studies looking at the natural history of whiplash injuries have suffered from problems of selection bias, retrospective reviewing and unclear outcomes. …”
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Motion - Colonoscopic Surveillance is more Cost Effective than Colectomy in Patients with Ulcerative Colitis: Arguments Against the Motion by Anders Ekbom

“…Available studies are susceptible to several biases: the ’healthy worker’ effect, surveillance bias and selection bias. Patients who are enrolled in surveillance programs are more likely to be thoroughly evaluated beforehand, are more likely to be given a diagnosis of dysplasia or neoplasm even when asymptomatic and are more likely to comply with medical treatment, including maintenance anti-inflammatory medication. …”
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Quantile and interquantile regression models for returns to education by economic sector and vulnerable population in Colombia by Jacobo Campo-Robledo, Cristian Castillo-Robayo, Julimar da silva Bichara

“…Quantile and interquantile regressions were employed, correcting for selection bias through the inverse Mills ratio and using monthly data from Colombia's Great Integrated Household Survey (GEIH) for 2019, to explore how the effect of education varies at different points of the income distribution and between these points. …”
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Evaluation of Absolute Neutrophil Count in the Perioperative Setting of Sarcoma Resection by Gayathri Vijayakumar, Emma M. Steffer, Neil P. Buac, Matthew W. Colman, Steven Gitelis, Alan T. Blank

“…Future studies with larger cohorts of neutropenic patients are needed to evaluate these outcomes, as our cohort had very few neutropenic patients due to selection bias.…”
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Can the Adoption of Green Pest Control Technologies Reduce Pesticide Use? Evidence from China by Haochen Jiang, Yubin Wang

“…This model allows for more accurate estimates of the treatment effects by addressing selection bias and accounting for both observable and unobservable factors. …”
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ChestX-Transcribe: a multimodal transformer for automated radiology report generation from chest x-rays by Prateek Singh, Sudhakar Singh

“…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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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

“…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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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

“…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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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

“…These findings offer robust insights for policymaking, demonstrating resilience against sample self-selection bias and reverse causality.…”
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