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Kara E. Rudolph

University of California, Berkeley
University of California, Davis
Johns Hopkins University

67

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1074

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'medoutcon': Nonparametric efficient causal mediation analysis with machine learning in 'R'.

2022 J. Open Source Softw.
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When the ends don't justify the means: Learning a treatment strategy to prevent harmful indirect effects

2021 arXiv: Applications
- Kara E. Rudolph
- Iván Díaz
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Efficiently transporting causal (in)direct effects to new populations under intermediate confounding and with multiple mediators

2020 arXiv: Methodology
- Kara E. Rudolph
- Iván Díaz
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2019 articles of the year, reviewers of the year, and figure of the year

2020 American Journal of Epidemiology
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Comparing the performance of statistical methods that generalize effect estimates from randomized controlled trials to much larger target populations

2020 Communications in Statistics - Simulation and Computation
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Investigating how perceived risk and availability of marijuana relate to marijuana use among adolescents in Argentina, Chile, and Uruguay over time

2019 Drug and Alcohol Dependence
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Non-parametric efficient causal mediation with intermediate confounders

2019 arXiv: Methodology
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Revisiting unconventional natural gas development and adverse birth outcomes in Pennsylvania: the potential mediating role of antenatal anxiety and depression

2019 Environmental Research
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Causal Mediation Analysis With Observational Data: Considerations and Illustration Examining Mechanisms Linking Neighborhood Poverty to Adolescent Substance Use

2019 American Journal of Epidemiology
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Detecting Anomalies Among Practice Sites Within Multicenter Trials

2019 Circulation-cardiovascular Quality and Outcomes
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