Evaluation of physical and mental health conditions related to employees’ absenteeism by Kazumitsu Nawata

“…Therefore, the sample selection biases might exist, and the results cannot be generalized to other types of jobs, working conditions, or companies. …”
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Transarterial chemoembolization combined with iodine 125 seeds versus transarterial chemoembolization combined with radiofrequency ablation in the treatment of early- and intermedi... by Lei Chen, Xuefeng Kan, Tao Sun, Yanqiao Ren, Yanyan Cao, Liangliang Yan, Bin Liang, Bin Xiong, Chuansheng Zheng

“…The efficacy of the two treatment groups was retrospectively analyzed. To reduced the selective bias, a propensity score matching (PSM) analysis and inverse probability of treatment weighting (IPTW) method were used to compare the outcomes between the two groups. …”
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The Impact of Post-Pancreatectomy Acute Pancreatitis (PPAP) on Long-Term Outcomes after Pancreaticoduodenectomy: A Single-Center Propensity-Score-Matched Analysis According to the... by Giuseppe Quero, Claudio Fiorillo, Giuseppe Massimiani, Chiara Lucinato, Roberta Menghi, Fabio Longo, Vito Laterza, Carlo Alberto Schena, Davide De Sio, Fausto Rosa, Valerio Papa, Antonio Pio Tortorelli, Vincenzo Tondolo, Sergio Alfieri

“…Propensity score matching (PSM) was performed in order to reduce potential selection biases. After PSM, 32 patients out of 231 PDs who developed PPAP (PPAP group) were matched to 32 patients who did not present PPAP (no-PPAP group). …”
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The Sloan Digital Sky Survey Reverberation Mapping Project: The Black Hole Mass–Stellar Mass Relations at 0.2 ≲ z ≲ 0.8 by Jennifer I-Hsiu Li, Yue Shen, Luis C. Ho, W. N. Brandt, Catherine J. Grier, Patrick B. Hall, Y. Homayouni, Anton M. Koekemoer, Donald P. Schneider, Jonathan R. Trump

“…With direct black hole masses from reverberation mapping and the large dynamical range of the sample, selection biases do not appear to affect our conclusions significantly. …”
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Participant completion of longitudinal assessments in an online cognitive aging registry: The role of medical conditions by Miriam T. Ashford, Chengshi Jin, John Neuhaus, Adam Diaz, Anna Aaronson, Rachana Tank, Joseph Eichenbaum, Monica R. Camacho, Juliet Fockler, Aaron Ulbricht, Derek Flenniken, Diana Truran, Robert Scott Mackin, Michael W. Weiner, Monica Rivera Mindt, Rachel L. Nosheny

“…The results need to be interpreted with caution due to selection biases, and the under‐inclusion of minoritized communities.…”
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10-Year Locoregional Control with Postoperative External Beam Radiotherapy in Patients with Locally Advanced High-Risk Non-Anaplastic Thyroid Carcinoma De Novo or at Relapse, a Pro... by Stéphanie Servagi Vernat, Jonathan Khalifa, Xu-Shan Sun, Emmanuel Kammerer, Eivind Blais, Jean-Christophe Faivre, Terence Tai-Weng Sio, Jianji Pan, Hao Qiu, Gil Bar-Sela, Jean-Marc Simon, Julia Salleron, Juliette Thariat

“…Inverse probability of treatment weighting (IPTW) after multiple imputation was used to reduce selection biases. (3) Results: Of 254 naTC patients, 216 patients underwent pEBRT (106 de novo, 110 at relapse, median dose 60 Gy) and 38 underwent surgery only. pEBRT patients had more gross residual disease, a major prognostic factor (<i>p</i> = 0.027) but less perineural invasion (<i>p</i> = 0.008) or lymphovascular emboli (<i>p</i> = 0.009). pEBRT patients more frequently underwent radioiodine therapy (<i>p</i> = 0.026). …”
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Insights into Adaptive Regulation of the Leaf-Petiole System: Strategies for Survival of Water Lily Plants under Salt Stress by Xiaojing Liu, Shaozhou Chen, Fengfeng Du, Linhe Sun, Qianhao Huang, Xiaojing Gao, Jinfeng Li, Haiying Tong, Dongrui Yao

“…Ammonium transporter genes involved in nitrogen metabolism were downregulated, whereas NO₃⁻-related transporters were upregulated in both the leaves and petioles, suggesting a selective bias toward NO₃⁻ uptake under salt stress. …”
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What Do We Have to Know about PD-L1 Expression in Prostate Cancer? A Systematic Literature Review (Part 6): Correlation of PD-L1 Expression with the Status of Mismatch Repair Syste... by Andrea Palicelli, Stefania Croci, Alessandra Bisagni, Eleonora Zanetti, Dario De Biase, Beatrice Melli, Francesca Sanguedolce, Moira Ragazzi, Magda Zanelli, Alcides Chaux, Sofia Cañete-Portillo, Maria Paola Bonasoni, Stefano Ascani, Antonio De Leo, Guido Giordano, Matteo Landriscina, Giuseppe Carrieri, Luigi Cormio, Jatin Gandhi, Davide Nicoli, Enrico Farnetti, Simonetta Piana, Alessandro Tafuni, Martina Bonacini

“…Our systematic literature review (PRISMA guidelines) investigated the potential correlations between PD-L1 and MMR/MSI/<i>BRCA/PTEN</i> statuses in PC, discussing few other relevant genes. Excluding selection biases, 74/677 (11%) PCs showed dMMR/MSI; 8/67 (12%) of dMMR/MSI cases were PD-L1+. dMMR-PCs included ductal (3%) and acinar (14%) PCs (all cases tested for MSI were acinar-PCs). …”
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OncoPeptVAC: A robust TCR binding algorithm to prioritize neoepitope using tumor mutation (DNAseq) and gene expression (RNAseq) data by Snigdha Majumder, Vasumathi Kode, Priyanka Shah, Anand Kumar, Ravi Gupta, Amit Chaudhuri, Papia Chakraborty

“…To improve the predictive power of our neoepitope prioritization pipeline and to circumvent selection biases that are inherent with using HLA binding as a proxy for neoepitope prediction, we developed a novel algorithm that prioritizes peptide interactions with the TCR. …”
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The development building maintenance training model of healthcare industry by Mohammad Affendy, Omardin

“…A core category of selective perception emerged that explained and captured the core phenomenon of sustained barriers to decision-making and selective bias towards information due to the interpretative nature of the socially constructed environment. …”
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Digital Phenotyping for Mood Disorders: Methodology-Oriented Pilot Feasibility Study by Scott Breitinger, Manuel Gardea-Resendez, Carsten Langholm, Ashley Xiong, Joseph Laivell, Cynthia Stoppel, Laura Harper, Rama Volety, Alex Walker, Ryan D'Mello, Andrew Jin Soo Byun, Peter Zandi, Fernando S Goes, Mark Frye, John Torous

“…While the digital phenotyping data quality was independent of gender and race, the reported demographic features of study participants revealed important information on possible selection biases that may result from naturalistic research in this domain. …”
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Prior treatment status: impact on the efficacy and safety of teriflunomide in multiple sclerosis by Giancarlo Comi, Mark S. Freedman, José E. Meca-Lallana, Patrick Vermersch, Byoung Joon Kim, Alexander Parajeles, Keith R. Edwards, Ralf Gold, Houari Korideck, Jeffrey Chavin, Elizabeth M. Poole, Patricia K. Coyle

“…Limitations include selective bias due to patient attrition, variability in subgroup size, and lack of magnetic resonance imaging outcomes. …”
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Outcomes for Atypical Tumor Recurrences Following Minimally Invasive Kidney Cancer Operations by Paul Russo, Kyle A. Blum, Stanley Weng, Niels Graafland, Axel Bex

“…Limitations include the potential for referral, detection, and selection biases, as well as uncertainty regarding the true incidence of ATR. …”
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The Stellar Mass–Black Hole Mass Relation at z ∼ 2 down to Determined by HETDEX by Yechi Zhang, Masami Ouchi, Karl Gebhardt, Chenxu Liu, Yuichi Harikane, Erin Mentuch Cooper, Dustin Davis, Daniel J. Farrow, Eric Gawiser, Gary J. Hill, Wolfram Kollatschny, Yoshiaki Ono, Donald P. Schneider, Steven L. Finkelstein, Caryl Gronwall, Shardha Jogee, Mirko Krumpe

“…We obtain the ${{ \mathcal M }}_{* }\mbox{--}{{ \mathcal M }}_{\mathrm{BH}}$ relation covering the unexplored low-mass ranges of ${{ \mathcal M }}_{\mathrm{BH}}\,\sim \,{10}^{7}\mbox{--}{10}^{8}\,{M}_{\odot }$ , and conduct forward modeling to fully account for the selection biases and observational uncertainties. The intrinsic ${{ \mathcal M }}_{* }\mbox{--}{{ \mathcal M }}_{\mathrm{BH}}$ relation at z ∼ 2 has a moderate positive offset of 0.52 ± 0.14 dex from the local relation, suggestive of more efficient black hole growth at higher redshift even in the low-mass regime of ${{ \mathcal M }}_{\mathrm{BH}}\,\sim \,{10}^{7}\mbox{--}{10}^{8}\,{M}_{\odot }$ . …”
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Body mass index modified the effectiveness of low dose aspirin treatment on frozen-thawed embryo transfer outcome: a propensity score-matched study by Kaijie Chen, Jiali Cai, Jiali Cai, Jie Tong, Lanlan Liu, Lanlan Liu, Zhenfang Liu, Jinhua Chen, Xiaolian Yang, Chao Yang, Jie Geng, Caihui Ma, Jianzhi Ren, Xiaoming Jiang, Xiaoming Jiang

“…Propensity score matching was performed to avoid selection biases and potential confounders.ResultsThe clinical pregnancy rate and live birth rate were similar before matching (54.4% versus 55.4%, RR: 1.02, 95%CI: 0.95-1.09, and 46.3 versus 47.8, RR: 1.03, 95%CI: 0.95-1.12 respectively). …”
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Shape Trumps Size: Image-Based Morphological Analysis Reveals That the 3D Shape Discriminates Intracranial Aneurysm Disease Status Better Than Aneurysm Size by Norman Juchler, Norman Juchler, Sabine Schilling, Sabine Schilling, Philippe Bijlenga, Vartan Kurtcuoglu, Vartan Kurtcuoglu, Vartan Kurtcuoglu, Vartan Kurtcuoglu, Sven Hirsch

“…We identified problems regarding generalizability if trained models are applied to datasets with different selection biases.ConclusionsMorphology provided a clear indication of the aneurysm disease status, with parameters measuring shape (especially irregularity) being better predictors than size. …”
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Assessment of intracranial aneurysm rupture risk using a point cloud-based deep learning model by Heshan Cao, Hui Zeng, Lei Lv, Qi Wang, Hua Ouyang, Long Gui, Ping Hua, Songran Yang, Songran Yang

“…However, as the original dataset authors stated, we observed potential generalizability concerns when applying trained models to datasets with different selection biases. Nevertheless, our method outperformed the LASSO regression model in terms of generalizability, with an AUC of 0.71 versus 0.67.Conclusion: The point cloud, as a 3D visualization technique for intracranial aneurysms, can effectively capture the spatial contour and morphological aspects of aneurysms. …”
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The Scavenger Hunt for Quasar Samples to Be Used as Cosmological Tools by Maria Giovanna Dainotti, Giada Bargiacchi, Aleksander Łukasz Lenart, Salvatore Capozziello

“…This gold sample, once we correct the luminosities for selection biases and redshift evolution, enables us to determine the matter density parameter <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mo>Ω</mo><mi>M</mi></msub></semantics></math></inline-formula> with a precision of 0.09. …”
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Efficacy and tolerability balance of oxycodone/naloxone and tapentadol in chronic low back pain with a neuropathic component: a blinded end point analysis of randomly selected rout... by Ueberall MA, Mueller-Schwefe GHH

“…Results: Demographic as well as baseline and pretreatment characteristics were comparable for the randomly selected data sets of both index groups without any indicators for critical selection biases. Treatment with OXN resulted formally in a BRP noninferior to that of TAP and showed a significantly higher primary end point response vs TAP (39.8% vs 25.6%, odds ratio: 1.93; P=0.014), due to superior analgesic effects. …”
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G_q-Mediated Arrhythmogenic Signaling Promotes Atrial Fibrillation by Felix Hohendanner, Ashok Prabhu, Nicola Wilck, Verena Stangl, Burkert Pieske, Karl Stangl, Till F. Althoff

“…Targeting this pathway, ideally using G_q-selective, biased receptor ligands, may be a promising approach for the treatment and prevention of AF. …”
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