Identification and characterisation of mutations associated with von Willebrand disease in a Turkish patient cohort von HAMPSHIRE, Daniel J, ABUZENADAH, Adel M, INGERSLEV, Jørgen, PEAKE, Ian R, GOODEVE, Anne C, CARTWRIGHT, Ashley, AL-SHAMMARI, Nawal S, COYLE, Rachael E, ECKERT, Michaela, AL-BUHAIRAN, Ahlam M, MESSENGER, Sarah L, BUDDE, Ulrich, GÜRSEL, Türkiz

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Investigation of the Role of Copy Number Variation In the Pathogenesis of Type 1 Von Willebrand Disease von Hampshire, Daniel J., Bloomer, Lisa D., Al-Buhairan, Ahlam M., Coyle, Rachael E., Vijzelaar, Raymon N.C.P., Lillicrap, David, James, Paula D., Eikenboom, Jeroen C.J., Schneppenheim, Reinhard, Rodeghiero, Francesco, Montgomery, Robert R., Peake, Ian R., Goodeve, Anne C.

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A systematically structured review of biomarkers of dying in cancer patients in the last months of life; An exploration of the biology of dying von Reid, Victoria Louise, McDonald, Rachael, Nwosu, Amara Callistus, Mason, Stephen R, Probert, Chris, Ellershaw, John E, Coyle, Séamus

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Evaluating the robustness of targeted maximum likelihood estimators via realistic simulations in nutrition intervention trials von Li, Haodong, Rosete, Sonali, Coyle, Jeremy, Phillips, Rachael V., Hejazi, Nima S., Malenica, Ivana, Arnold, Benjamin F., Benjamin‐Chung, Jade, Mertens, Andrew, Colford, John M., der Laan, Mark J., Hubbard, Alan E.

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Predicting Long COVID in the National COVID Cohort Collaborative Using Super Learner: Cohort Study von Butzin-Dozier, Zachary, Ji, Yunwen, Li, Haodong, Coyle, Jeremy, Shi, Junming, Phillips, Rachael V, Mertens, Andrew N, Pirracchio, Romain, van der Laan, Mark J, Patel, Rena C, Colford, John M, Hubbard, Alan E

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Evaluating the Robustness of Targeted Maximum Likelihood Estimators via Realistic Simulations in Nutrition Intervention Trials von Li, Haodong, Rosete, Sonali, Coyle, Jeremy, Phillips, Rachael V, Hejazi, Nima S, Malenica, Ivana, Arnold, Benjamin F, Benjamin-Chung, Jade, Mertens, Andrew, ColfordJr, John M, van der Laan, Mark J, Hubbard, Alan E

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Targeting Learning: Robust Statistics for Reproducible Research von Coyle, Jeremy R, Hejazi, Nima S, Malenica, Ivana, Phillips, Rachael V, Arnold, Benjamin F, Mertens, Andrew, Benjamin-Chung, Jade, Cai, Weixin, Dayal, Sonali, ColfordJr, John M, Hubbard, Alan E, van der Laan, Mark J

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Evaluating the Robustness of Targeted Maximum Likelihood Estimators via Realistic Simulations in Nutrition Intervention Trials von Li, Haodong, Rosete, Sonali, Coyle, Jeremy, Phillips, Rachael V, Hejazi, Nima S, Malenica, Ivana, Arnold, Benjamin F, Benjamin-Chung, Jade, Mertens, Andrew, Colford, John M, Mark J van der Laan, Hubbard, Alan E

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Targeting Learning: Robust Statistics for Reproducible Research von Coyle, Jeremy R, Hejazi, Nima S, Malenica, Ivana, Phillips, Rachael V, Arnold, Benjamin F, Mertens, Andrew, Benjamin-Chung, Jade, Cai, Weixin, Dayal, Sonali, Colford, John M, Hubbard, Alan E, Mark J van der Laan

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