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Adjusting for indirectly measured confounding using large-scale propensity score.

L. Zhang, Y. Wang, M. Schuemie, D. Blei, and G. Hripcsak. J. Biomed. Informatics, (2022)

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Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Xianghong Zhang

Miao Zhang

Wei Zhang

Other publications of authors with the same name

Multi-Round Reasoning Incorporating Prior Knowledge in Conversational Sentiment Analysis.L. Zhang, X. Yang, and Q. Chen. AIPR, page 1212-1218. ACM, (2023)Predicting pressure injury using nursing assessment phenotypes and machine learning methods.W. Song, M. Kang, L. Zhang, W. Jung, J. Song, D. Bates, and P. Dykes. J. Am. Medical Informatics Assoc., 28 (4): 759-765 (2021)The Medical Deconfounder: Assessing Treatment Effect with Electronic Health Records (EHRs).L. Zhang, Y. Wang, A. Ostropolets, J. Mulgrave, D. Blei, and G. Hripcsak. CoRR, (2019)Investigating female-male differences in risk factors for myocardial infarction using OHDSI tools.A. Ostropolets, L. Zhang, J. Mulgrave, and G. Hripcsak. AMIA, AMIA, (2019)Personalized treatment for type 2 diabetes using weighted k-nearest neighbors.W. Song, L. Zhang, E. Gill, J. Liu, and A. Wright. AMIA, AMIA, (2019)The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records.L. Zhang, Y. Wang, A. Ostropolets, J. Mulgrave, D. Blei, and G. Hripcsak. MLHC, volume 106 of Proceedings of Machine Learning Research, page 490-512. PMLR, (2019)Using Data Assimilation to Predict Post-Operative Bariatric Surgery Glycemic Status in Adolescents.L. Richter, B. Albert, L. Zhang, I. Fennoy, D. Albers, and G. Hripcsak. AMIA, AMIA, (2022)Evaluation of Large-scale Propensity Score Modeling and Covariate Balance on Potential Unmeasured Confounding in Observational Research.R. Chen, M. Schuemie, M. Suchard, A. Ostropolets, L. Zhang, P. Ryan, and G. Hripcsak. AMIA, AMIA, (2020)Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.H. Jeong, S. Jabbour, Y. Yang, R. Thapa, H. Mozannar, W. Han, N. Mehandru, M. Wornow, V. Lialin, X. Liu and 33 other author(s). CoRR, (2024)Semi-Supervised Transfer Learning Framework for Aging-Aware Library Characterization.Z. Tang, C. Li, H. You, Z. Di, L. Zhang, X. Liu, Y. Wang, Y. Dai, and G. Bai. IEEE Trans. Circuits Syst. II Express Briefs, 71 (3): 1156-1160 (March 2024)

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Disambiguation of "Zhang, Linying"

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Adjusting for indirectly measured confounding using large-scale propensity score.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Xianghong Zhang

Miao Zhang

Wei Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Linying"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Adjusting for indirectly measured confounding using large-scale propensity score.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Xianghong Zhang

Miao Zhang

Wei Zhang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Adjusting for indirectly measured confounding using large-scale propensity score.