Assessing Sensitivity to Unmeasured Confounding Using a Simulated Potential Confounder
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2016/02/19
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Indian UGC (journal)
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Refrences74
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Citations28
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Nicole Bohme Carnegie University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA
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Masataka Harada National Graduate Institute for Policy Studies, Tokyo, Japan
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Jennifer L. Hill New York University, New York, New York, USA
Journal Categories
Education
Education
Theory and practice of education
Social Sciences
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| 10.1177/1536867X0700700303 | 2007 | |||
| Quantity of Nonmaternal Care and Boys’ Problem Behavior/Adjustment at Ages 3 and 5: Exploring the Mediating Role of Parenting | Psychiatry |
| 35 | 1999 |
Assessing Sensitivity to an Unobserved Binary Covariate in an Observational Study with Binary Outcome | Journal of the Royal Statistical Society Series B: Statistical Methodology |
| 235 | 1983 |
| 10.1515/9781400831852 | 2007 | |||
| 10.1515/9781400831852 | 2002 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Quantifying the robustness of causal inferences: Sensitivity analysis for pragmatic social science | Social Science Research |
| 2 | 2023 |
Exploring causality from observational data: An example assessing whether religiosity promotes cooperation | Evolutionary Human Sciences |
| 5 | 2023 |
| Unreliable Continuous Treatment Indicators in Propensity Score Analysis | Multivariate Behavioral Research |
| 2023 | |
Propensity score methods for observational studies with clustered data: A review | Statistics in Medicine |
| 17 | 2022 |
| A Causal Framework for Observational Studies of Discrimination | Statistics and Public Policy |
| 2022 |
Citations Analysis
The category
Science: Mathematics: Probabilities. Mathematical statistics 16
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A flexible, interpretable framework for assessing sensitivity to unmeasured confounding and was published in 2016. The most recent citation comes from a 2023 study titled Unreliable Continuous Treatment Indicators in Propensity Score Analysis. This article reached its peak citation in 2019, with 8 citations. It has been cited in 21 different journals, 19% of which are open access. Among related journals, the Statistics in Medicine cited this research the most, with 5 citations. The chart below illustrates the annual citation trends for this article.