نتائج البحث

Simultaneous adjustment of uncontrolled confounding, selection bias and misclassification in multiple-bias modelling.

• Authors : Brendel, Paul; Torres, Aracelis; Arah, Onyebuchi

Subjects: Multi-bias modelling; confounding; imputed

• Source: International Journal of Epidemiology. 52(4)

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Detecting Publication Selection Bias through Excess Statistical Significance

• Authors : Stanley, T. D. (ORCID 0000-0002-3205-1983); Doucouliagos, Hristos; Ioannidis, John P. A.

Subjects: Selection; Bias; Publications

• Source: Research Synthesis Methods. Nov 2021 12(6):776-795.20

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Using Entropy Balancing to Reduce the Effects of Selection Bias in Afterschool Studies: An Example in Studying the Relationship between Intensity of Afterschool Program Participation and Academic Achievement

• Authors : Huang, Denise; Leon, Seth; La Torre, Deborah

Subjects: After School Programs; Student Participation; Academic AchievementCalifornia (Los Angeles)

• Source: International Journal for Research on Extended Education. 2017 5(1):5-25.21

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SAS and R code for probabilistic quantitative bias analysis for misclassified binary variables and binary unmeasured confounders.

• Authors : Fox MP; Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.; Department of Global Health, Boston University School of Public Health, Boston, MA, USA.

Subjects: Bias*; Humans ; Epidemiologic Studies

• Source: International journal of epidemiology [Int J Epidemiol] 2023 Oct 05; Vol. 52 (5), pp. 1624-1633.Publisher: Oxford University Press Country of Publication: England NLM ID: 7802871 Publication Model: Print Cited Medium: Internet ISSN:

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Addressing Selection Bias Using Partial Longitudinal Data: A Demonstration Using Recent and Past School Movers

• Authors : Grigg, Jeffrey; Society for Research on Educational Effectiveness (SREE)

Subjects: Longitudinal Studies; Student Mobility; Scores

• Source: Society for Research on Educational Effectiveness. 2015.12

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Accuracy loss due to selection bias in cohort studies with left truncation.

• Authors : Schisterman EF; Division of Epidemiology, Statistics, and Prevention Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Bethesda, MD 20854, USA. ; Cole SR

Subjects: Bias* ; Cohort Studies* ; Research Design*

• Source: Paediatric and perinatal epidemiology [Paediatr Perinat Epidemiol] 2013 Sep; Vol. 27 (5), pp. 491-502.Publisher: Blackwell Scientific Publications Country of Publication: England NLM ID: 8709766 Publication Model: Print Cited Medium: Internet ISSN:

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The Role of Pretest and Proxy-Pretest Measures of the Outcome for Removing Selection Bias in Observational Studies

• Authors : Hallberg, Kelly; Steiner, Peter M.; Cook, Thomas D.

Subjects: Educational Research; Research Methodology; Observation

• Source: Society for Research on Educational Effectiveness. 2011.9

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Comparing bicyclists who use smartphone apps to record rides with those who do not: Implications for representativeness and selection bias

• Authors : Garber, Michael D; Watkins, Kari E; Kramer, Michael R

Subjects: Built Environment and Design; Health Services and Systems; Public Health

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Analyzing Selection Bias for Credible Causal Inference: When in Doubt, DAG It Out.

• Authors : Arah, Onyebuchi A

Subjects: Epidemiology; Public Health; Health Sciences

• Source: Epidemiology. 30(4)

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The influence of past research on the design of experiments with dissolved organic matter and engineered nanoparticles.

• Authors : Sani-Kast N; Institute for Chemical and Bioengineering, ETH Zürich, Zürich, Switzerland.; Ollivier P

Subjects: Bias* ; Selection Bias*; Computer Simulation

• Source: PloS one [PLoS One] 2018 May 07; Vol. 13 (5), pp. e0196549. Date of Electronic Publication: 2018 May 07 (Print Publication: 2018).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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