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Jessica Gronsbell

Showing results (1-10 of 40) with videos related to

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Statistics in Medicine|September 11, 2020
Response to the letter by Guogen Shan, Hua Zhang, and Tao JiangJessica Gronsbell, Lu Tian
The Journal of Sexual Medicine|August 8, 2023
Letter to the Editor on "Desired decision-making role and treatment satisfaction among trans people during medical transition: results from the ENIGI follow-up study"Florence Ashley, Luke Allen, Jessica Gronsbell
Journal of the Royal Statistical Society. Series B, Statistical Methodology|October 24, 2022
Efficient Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified SamplingJessica Gronsbell, Molei Liu, Lu Tian, et al.
Nature Genetics|June 13, 2024
Synthetic surrogates improve power for genome-wide association studies of partially missing phenotypes in population biobanksZachary R McCaw, Jianhui Gao, Xihong Lin, et al.
International Journal of Population Data Science|March 25, 2026
Data resource profile: a nationally representative linked pregnancy cohort in Canada integrating clinical, social, and environmental dataSabrina Chiodo, Sonia M Grandi, Jessica Gronsbell, et al.
Stats|September 25, 2025
Exact Inference for Random Effects Meta-Analyses for Small, Sparse DataJessica Gronsbell, Zachary R McCaw, Timothy Regis, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Leveraging multimodal neuroimaging and GWAS for identifying modality-level causal pathways to Alzheimer's diseaseYuan Tian, Daniel Felsky, Jessica Gronsbell, et al.
Medrxiv : the Preprint Server for Health Sciences|March 17, 2025
Leveraging multimodal neuroimaging and GWAS for identifying modality-level causal pathways to Alzheimer's diseaseYuan Tian, Daniel Felsky, Jessica Gronsbell, et al.
Biometrics|October 25, 2018
Automated feature selection of predictors in electronic medical records dataJessica Gronsbell, Jessica Minnier, Sheng Yu, et al.
Diagnostic and Prognostic Research|March 2, 2026
A study protocol for a predictive model to assess population‑based risk of adverse pregnancy outcomes: The Adverse Pregnancy Outcomes Population Risk Tool (PregPoRT)Sabrina Chiodo, Sonia M Grandi, Jessica Gronsbell, et al.
Pageof 4

Showing results (1-10 of 40) with videos related to

Sort By:
Pageof 4
Statistics in Medicine|September 11, 2020
Response to the letter by Guogen Shan, Hua Zhang, and Tao JiangJessica Gronsbell, Lu Tian
The Journal of Sexual Medicine|August 8, 2023
Letter to the Editor on "Desired decision-making role and treatment satisfaction among trans people during medical transition: results from the ENIGI follow-up study"Florence Ashley, Luke Allen, Jessica Gronsbell
Journal of the Royal Statistical Society. Series B, Statistical Methodology|October 24, 2022
Efficient Evaluation of Prediction Rules in Semi-Supervised Settings under Stratified SamplingJessica Gronsbell, Molei Liu, Lu Tian, et al.
Nature Genetics|June 13, 2024
Synthetic surrogates improve power for genome-wide association studies of partially missing phenotypes in population biobanksZachary R McCaw, Jianhui Gao, Xihong Lin, et al.
International Journal of Population Data Science|March 25, 2026
Data resource profile: a nationally representative linked pregnancy cohort in Canada integrating clinical, social, and environmental dataSabrina Chiodo, Sonia M Grandi, Jessica Gronsbell, et al.
Stats|September 25, 2025
Exact Inference for Random Effects Meta-Analyses for Small, Sparse DataJessica Gronsbell, Zachary R McCaw, Timothy Regis, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Leveraging multimodal neuroimaging and GWAS for identifying modality-level causal pathways to Alzheimer's diseaseYuan Tian, Daniel Felsky, Jessica Gronsbell, et al.
Medrxiv : the Preprint Server for Health Sciences|March 17, 2025
Leveraging multimodal neuroimaging and GWAS for identifying modality-level causal pathways to Alzheimer's diseaseYuan Tian, Daniel Felsky, Jessica Gronsbell, et al.
Biometrics|October 25, 2018
Automated feature selection of predictors in electronic medical records dataJessica Gronsbell, Jessica Minnier, Sheng Yu, et al.
Diagnostic and Prognostic Research|March 2, 2026
A study protocol for a predictive model to assess population‑based risk of adverse pregnancy outcomes: The Adverse Pregnancy Outcomes Population Risk Tool (PregPoRT)Sabrina Chiodo, Sonia M Grandi, Jessica Gronsbell, et al.
Pageof 4