A structured group exercise program for patients with metastatic cancer receiving chemotherapy and CTNNB1 (β-catenin) as a biomarker of exercise efficacy by Chiarotto JA, Akbarali R, Bellotti L, Dranitsaris G

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Statins and Mortality in COPD: A Methodological Review of Observational Studies by Naheemot Olaoluwa Sule, Samy Suissa

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Breastfeeding is associated with the intelligence of school‐age children in Mexico by Lidia Sarahi Peña‐Ruiz, Mishel Unar‐Munguía, Mónica Arantxa Colchero, Fernando Alarid‐Escudero, Rafael Pérez‐Escamilla

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subtee: An R Package for Subgroup Treatment Effect Estimation in Clinical Trials by Nicolas M. Ballarini, Marius Thomas, Gerd K. Rosenkranz, Björn Bornkamp

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Conditioning on future exposure to define study cohorts can induce bias: the case of low-dose acetylsalicylic acid and risk of major bleeding by Lund JL, Horváth-Puhó E, Komjáthiné Szépligeti S, Sørensen HT, Pedersen L, Ehrenstein V, Stürmer T

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Methodological Problems and Solutions in Sampling for Epidemiological COVID-19 Research by Rainer Schnell, Menno Smid

Subjects: “…Nonresponse, Selection Bias, Non-probability Samples, COVID-19…”
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Should genetic groups be fitted in BLUP evaluation? Practical answer for the French AI beef sire evaluation by LaloŅ Denis, Phocas Florence

Subjects: “…selection bias…”
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Quality in Unimode and Mixed-Mode designs: A Multitrait-Multimethod approach by Melanie Revilla

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Enforcement actions and their effectiveness in securities regulation: Empirical evidence from management earnings forecasts by Yunling Song, Xinwei Ji

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The missing new funds by Zhu, Qifei

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Reliability of 2D Magnetic Resonance Imaging Texture Analysis in Cerebral Gliomas: Influence of Slice Selection Bias on Reproducibility of Radiomic Features by Burak Koçak

“…Neither a feature class (range of excellent reproducibility rates without 95% CI, 21.2%-34.4%; with 95% CI, 2.1%-18.3%) nor an image type (range of excellent reproducibility rates without 95% CI, 22.3%-41.9%; with 95% CI, 9.1%-14%) had considerable reliability in two adjacent MRI slices.Conclusion:2D MRI texture analysis of gliomas using T2- weighted sequence is substantially sensitive to slice selection bias, which may lead to non-reproducible results in radiomic works.…”
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T-DM1 after Pertuzumab plus Trastuzumab: Treatment Sequence-Induced Selection Bias in HER2-Positive Metastatic Breast Cancer by Thibaut Sanglier, Alessandra Fabi, Carlos Flores, Evelyn M. Flahavan, Claudia Pena-Murillo, Anne-Marie Meyer, Filippo Montemurro

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Combining patient reported outcomes and EHR data to understand population level treatment needs: correcting for selection bias in the migraine signature study by Walter F. Stewart, Xiaowei Yan, Alice Pressman, Alice Jacobson, Shruti Vaidya, Victoria Chia, Dawn C. Buse, Richard B. Lipton

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Are most published research findings false? Trends in statistical power, publication selection bias, and the false discovery rate in psychology (1975-2017). by Andreas Schneck

“…As the analyses rely on multiple assumptions that cannot be tested, alternative scenarios were laid out, again resulting in the rather optimistic result that although research results may suffer from low statistical power and publication selection bias, most of the results reported as statistically significant may contain substantial results, rather than statistical artifacts.…”
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Wage gender discrimination and segmentation in the Brazilian labor market by Ana Lucia Kassouf

Subjects: “…selectivity bias…”
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Inverse-probability weighting and multiple imputation for evaluating selection bias in the estimation of childhood obesity prevalence using data from electronic health records by Carmen Sayon-Orea, Conchi Moreno-Iribas, Josu Delfrade, Manuela Sanchez-Echenique, Pilar Amiano, Eva Ardanaz, Javier Gorricho, Garbiñe Basterra, Marian Nuin, Marcela Guevara

“…Here, we aim to assess the selection bias due to missing weight and height data from electronic health records in children older than five. …”
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Less healthy, but more active: Opposing selection biases when recruiting older people to a physical activity study through primary care by Carey Iain M, Victor Christina R, Harris Tess J, Adams Rika, Cook Derek G

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Measuring under-5 mortality and fertility through mobile phone surveys: an assessment of selection bias in 34 low-income and middle-income countries by Georges Reniers, Ololade Julius Baruwa, Bruno Masquelier, David A Sánchez-Páez, Ashira Menashe-Oren

“…Objectives This study aims to assess sample selection bias in mobile phone survey estimates of fertility and under-5 mortality.Design With data from the Demographic and Health Surveys, we use logistic regressions to identify sociodemographic correlates of mobile phone ownership and access, and Poisson regressions to estimate the association between mobile phone ownership (or access) and fertility and under-5 mortality estimates. …”
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An evaluation of whether propensity score adjustment can remove the self-selection bias inherent to web panel surveys addressing sensitive health behaviours by Andrew Copas, Sarah Burkill, Fred Conrad, Mick P. Couper, Bob Erens

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The Raine study had no evidence of significant perinatal selection bias after two decades of follow up: a longitudinal pregnancy cohort study by Scott W. White, Peter R. Eastwood, Leon M. Straker, Leon A. Adams, John P. Newnham, Stephen J. Lye, Craig E. Pennell

“…Abstract Background Cohort studies may increase or decrease their selection bias as they progress through time. The Western Australian Pregnancy Cohort (Raine) Study has followed 2868 children for over two decades; from fetal into adult life. …”
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