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Rachael V Phillips

Showing results (1-10 of 17) with videos related to

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Biometrics|March 25, 2022
Discussion on "Adaptive enrichment designs with a continuous biomarker" by Nigel StallardRachael V Phillips, Mark J van der Laan
International Journal of Epidemiology|March 11, 2023
Practical considerations for specifying a super learnerRachael V Phillips, Mark J van der Laan, Hana Lee, et al.
American Journal of Epidemiology|May 5, 2022
Data-Adaptive Selection of the Propensity Score Truncation Level for Inverse-Probability-Weighted and Targeted Maximum Likelihood Estimators of Marginal Point Treatment EffectsSusan Gruber, Rachael V Phillips, Hana Lee, et al.
Statistics in Medicine|July 17, 2025
Performance of Cross-Validated Targeted Maximum Likelihood EstimationMatthew J Smith, Rachael V Phillips, Camille Maringe, et al.
Annals of Epidemiology|June 21, 2023
Application of targeted maximum likelihood estimation in public health and epidemiological studies: a systematic reviewMatthew J Smith, Rachael V Phillips, Miguel Angel Luque-Fernandez, et al.
BMC Medical Research Methodology|August 2, 2023
Evaluating and improving real-world evidence with Targeted LearningSusan Gruber, Rachael V Phillips, Hana Lee, et al.
Statistics in Medicine|March 10, 2023
Personalized online ensemble machine learning with applications for dynamic data streamsIvana Malenica, Rachael V Phillips, Antoine Chambaz, et al.
NPJ Digital Medicine|May 31, 2022
Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcareJean Feng, Rachael V Phillips, Ivana Malenica, et al.
Scientific Reports|April 17, 2026
Sequential invitations to FOBT screening and colorectal cancer incidenceXiaoqin Wang, Hanna Ribbing Wilén, Rachael V Phillips, et al.
Epidemics|October 24, 2022
A comparison of COVID-19 outbreaks across US Combined Statistical Areas using new methods for estimating R<sub>0</sub> and social distancing behaviourLudovica Luisa Vissat, Nir Horvitz, Rachael V Phillips, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Biometrics|March 25, 2022
Discussion on "Adaptive enrichment designs with a continuous biomarker" by Nigel StallardRachael V Phillips, Mark J van der Laan
International Journal of Epidemiology|March 11, 2023
Practical considerations for specifying a super learnerRachael V Phillips, Mark J van der Laan, Hana Lee, et al.
American Journal of Epidemiology|May 5, 2022
Data-Adaptive Selection of the Propensity Score Truncation Level for Inverse-Probability-Weighted and Targeted Maximum Likelihood Estimators of Marginal Point Treatment EffectsSusan Gruber, Rachael V Phillips, Hana Lee, et al.
Statistics in Medicine|July 17, 2025
Performance of Cross-Validated Targeted Maximum Likelihood EstimationMatthew J Smith, Rachael V Phillips, Camille Maringe, et al.
Annals of Epidemiology|June 21, 2023
Application of targeted maximum likelihood estimation in public health and epidemiological studies: a systematic reviewMatthew J Smith, Rachael V Phillips, Miguel Angel Luque-Fernandez, et al.
BMC Medical Research Methodology|August 2, 2023
Evaluating and improving real-world evidence with Targeted LearningSusan Gruber, Rachael V Phillips, Hana Lee, et al.
Statistics in Medicine|March 10, 2023
Personalized online ensemble machine learning with applications for dynamic data streamsIvana Malenica, Rachael V Phillips, Antoine Chambaz, et al.
NPJ Digital Medicine|May 31, 2022
Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcareJean Feng, Rachael V Phillips, Ivana Malenica, et al.
Scientific Reports|April 17, 2026
Sequential invitations to FOBT screening and colorectal cancer incidenceXiaoqin Wang, Hanna Ribbing Wilén, Rachael V Phillips, et al.
Epidemics|October 24, 2022
A comparison of COVID-19 outbreaks across US Combined Statistical Areas using new methods for estimating R<sub>0</sub> and social distancing behaviourLudovica Luisa Vissat, Nir Horvitz, Rachael V Phillips, et al.
Pageof 2