A gendered analysis of adaptive capacity and food security in Makueni County, Kenya by Phyllis Mumia Machio, Susannah M. Sallu, Betty Waized, Akwilina Wendelin Mwanri, Kwaku Gyebi Duodu

“…Due to potential self-selection bias, this study also estimates Coarsened Exact Matching (CEM) model. …”
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Toward Intelligent Financial Advisors for Identifying Potential Clients: A Multitask Perspective by Qixiang Shao, Runlong Yu, Hongke Zhao, Chunli Liu, Mengyi Zhang, Hongmei Song, Qi Liu

“…However, two critical problems encountered in real practice make this prediction task challenging, i.e., sample selection bias and data sparsity. In this study, we formalize a potential conversion relationship, i.e., user → activated user → client and decompose this relationship into three related tasks. …”
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EU-TIRADS-Based Omission of Fine-Needle Aspiration and Cytology from Thyroid Nodules Overlooks a Substantial Number of Follicular Thyroid Cancers by Tamas Solymosi, Laszlo Hegedüs, Miklos Bodor, Endre V. Nagy

“…This study design is unique in avoiding the common selection bias when TIRADS’ sensitivity is tested in a cohort selected for FNA and surgery based on the same US characteristics on which TIRADS is based. …”
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Gaps in Study Design for Immune Parameter Research for Latent Tuberculosis Infection: A Systematic Review by Mariana Herrera, Cristian Vera, Yoav Keynan, Zulma Vanessa Rueda

“…We found high heterogeneity between studies including failure to account for the time/illness of the individuals studied; varied samples and protocols; different clinical classification of TB; different laboratory methods for IP detection, which in turn leads to variable units of measurement and assay sensitivities; and selection bias regarding TST and booster effect. None of the studies adjusted the analysis for the effect of ethnicity. …”
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Real-World Assessment of Weight Change in African American Females and Hispanics with HIV-1 After Initiating Integrase Strand-Transfer Inhibitors or Protease Inhibitors by Yen-Wen Chen, David Anderson, Christopher D. Pericone, Prina Donga

“…Inverse probability of treatment weighting was used to reduce selection bias and improve cohort comparability. Multivariable models were used to compare absolute weight/body mass index (BMI) changes and proportion of patients with weight/BMI increases from pre- to post-index (last measure between the 4th and 12th months post-index). …”
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Structures and strategies for retaining an international pediatric cohort from birth: Lessons from The Environmental Determinants of Diabetes in the Young (TEDDY) study by Patricia Gesualdo, Jessica Melin, Rachel Karban, Claire Crouch, Michael Killian, Diane Hopkins, Annika Adamsson, Joanna Stock, Suzanne Bennett Johnson, Judith Baxter

“…Background: Retention of study participants in observational studies is essential to maintaining the representativeness of the population, minimizing selection bias, and assuring sufficient statistical power. …”
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Association between herpes simplex virus infection and Alzheimer’s disease biomarkers: analysis within the MAPT trial by Morgane Linard, Isabelle Garrigue, Bruno Vellas, Nicola Coley, Henrik Zetterberg, Kaj Blennow, Nicholas James Ashton, Pierre Payoux, Anne-Sophie Salabert, Jean-François Dartigues, Joachim Mazere, Sandrine Andrieu, Catherine Helmer

“…The trend toward lower cortical amyloid load in HSV-1-infected participants was unexpected given the pre-existing literature and may be explained either by a modified immune response in HSV-1 infected subjects which could favour the clearance of amyloid deposits or by a selection bias.…”
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Patient and Hospital Characteristics Associated with Admission Among Patients With Minor Isolated Extremity Firearm Injuries: A Propensity-Matched Analysis by Arielle C. Thomas, MD, MPH, MS, Regina Royan, MD, MPH, Avery B. Nathens, MD, PhD, Brendan T. Campbell, MD, MPH, Susheel Reddy, MPH, Sarabeth Spitzer, MD, Doulia Hamad, MD, Angie Jang, BA, Anne M. Stey, MD, MSc

“…Admitted patients were propensity score matched to nonadmitted patients on age, extremity Abbreviated Injury Score, and Elixhauser Comorbidity Index with exact matching within hospital to adjust for selection bias. A general estimating equation logistic regression estimated the association between insurance and odds of admission in the matched cohort while controlling for sex, race, injury intent, injury type, hospital profit type, and trauma center designation with observations clustered by propensity score-matched pairs within hospital. …”
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Effectiveness of chain of survival for out-of-hospital-cardiac-arrest (OHCA) in resource limited countries: A systematic review by Mirza Noor Ali Baig, Zafar Fatmi, Nadeem Ullah Khan, Uzma Rahim Khan, Ahmed Raheem, Junaid Abdul Razzak

“…Risk of bias was moderate to high due to selection bias, inadequate confounding control, and inconsistent reporting. …”
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Metagenomics: a new frontier for routine pathology testing of gastrointestinal pathogens by Nicola Z. Angel, Mitchell J. Sullivan, Areej Alsheikh-Hussain, Liang Fang, Samantha MacDonald, Alena Pribyl, Blake Wills, Gene W. Tyson, Philip Hugenholtz, Donovan H. Parks, Paul Griffin, David L. A. Wood

“…Metagenomic next-generation sequencing (mNGS) allows the identification of all pathogens in a sample in a single test, without a reliance on culture or introduction of target selection bias. This study aims to determine the ability to routinely apply mNGS testing, in comparison to traditional culture or polymerase chain reaction (PCR) based tests, for the identification of causal pathogens for gastrointestinal infections. …”
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Surgical resection versus thermal ablation after intra-arterial conversion therapy for unresectable hepatocellular carcinoma: a multicenter retrospective one as per the STROBE guid... by Yusen Du, Chao An, Wendao Liu

“…The propensity score matching (PSM) method was applied to reduce selection bias between groups. Cumulative overall survival (OS) and progression-free survival (PFS) were compared using the Kaplan–Meier method with the log-rank test. …”
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The superiority of veno-arterial over veno-venous extracorporeal membrane oxygenation for operative support of lung transplantation by Sen Lu, Pin Wang, Xiao-qin Zhang, Gang Feng, Hong-li He, Yue Chen, Xiao-bo Huang, Chun Pan, Jing-chao Luo

“…To address potential selection bias, we employed entropy weighted inverse probability of treatment weighting (IPTW-EW). …”
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Effect of Huaier granule on prognosis of breast cancer: A single-center propensity score matching retrospective study by Qianqian Guo, Yuting Peng, Ge Zhang, Huan Lin, Qianjun Chen, Sihan Zhou, Xiuyuan Hao

“…The propensity score matching (PSM) method was used to eliminate selection bias. The disease-free survival (DFS) and overall survival (OS) for these groups were compared using the Kaplan–Meier method and the Cox regression. …”
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Estimates of disclosure and victimization rates for fishery observers in the maritime workplace by Lacey Jeroue, Lacey Jeroue, Craig Faunce, Andy Kingham, Jaclyn Smith

“…Victimization rates computed from raw survey summary statistics suffer from self-selection bias while rates derived solely from submission of official statements suffer from bias in underreporting. …”
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Machine learning prediction models for mortality risk in sepsis-associated acute kidney injury: evaluating early versus late CRRT initiation by Chuanren Zhuang, Ruomeng Hu, Ke Li, Zhengshuang Liu, Songjie Bai, Sheng Zhang, Xuehuan Wen

“…Propensity score matching was performed to address potential selection bias. Subgroup analyses stratified patients by disease severity using SOFA scores (low ≤10, medium 11–15, high >15) and creatinine levels (low ≤3 mg/dL, medium 3–5 mg/dL, high >5 mg/dL). …”
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Comparative survival outcomes of neoadjuvant and adjuvant therapy in patients with T1c, node-negative, triple-negative breast cancer: A population-based analysis by Yi-Zi Zheng, Jia-Qi Ying, Ting-Ting Wu, Yong-Hui Su, Ou-Chen Wang

“…To balance baseline characteristics and mitigate selection bias, propensity score matching (PSM) was used to create the NAT and AT cohorts. …”
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Racial differences in takotsubo cardiomyopathy outcomes in a large nationwide sample by Raja Zaghlol, Amit K. Dey, Sameer Desale, Ana Barac

“…Patients with a primary diagnosis of acute coronary syndrome were excluded to reduce selection bias. Caucasians were compared with African Americans (AA) for differences in baseline characteristics and in‐hospital outcomes. …”
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Do delayed responses introduce bias in ecological momentary assessment? Evidence from comparisons between self-reported and objective physical activity by Stefan Schneider, Stefan Schneider, Stefan Schneider, Meynard J. Toledo, Doerte U. Junghaenel, Doerte U. Junghaenel, Doerte U. Junghaenel, Joshua M. Smyth, Pey-Jiuan Lee, Sarah Goldstein, Olivia Pomeroy, Arthur A. Stone, Arthur A. Stone

“…This study investigated whether response delays introduce selection bias in the moments captured by EMA.MethodsParticipants (n = 339) self-reported their physical activity behaviors using EMA five times a day over 7 days while wearing a continuous physical activity monitor. …”
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Transaxillary vs. Transsubclavian Gasless endoscopic thyroidectomy approaches for papillary thyroid cancer by Hongji Wu, Meiyu Zhu, Chi Ma, Rui Yang, Yanzhong Gu, Shujian Wei, Xincheng Liu, Haiqing Sun, Guibin Zheng, Xicheng Song, Haitao Zheng

“…Propensity score matching (PSM) was used to mitigate potential selection bias and adjust for baseline clinical characteristic differences. …”
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Burden of micronutrient deficiency among patients with type 2 diabetes: systematic review and meta-analysis by Sanjay Kalra, Shiv Dutt Gupta, Daya Krishan Mangal, Diksha Gautam, Anuj Kumar Pandey, Nida Shaikh, Himanshu Tolani, Yeshwanth Sonnathi, Kamlesh Chand Sharma, Jagdish Prasad, Rajeev Tewari, Fahmina Anwar

“…These studies were hospital based and the findings of this systematic review may be used with caution due to inherent selection bias. Diversity of foods, lifestyle choices and cultural practices may contribute to geographic variations in micronutrient deficiency.Trial registration PROSPERO CRD42023439780.…”
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