Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms von Akselrod-Ballin, Ayelet, Chorev, Michal, Shoshan, Yoel, Spiro, Adam, Hazan, Alon, Melamed, Roie, Barkan, Ella, Herzel, Esma, Naor, Shaked, Karavani, Ehud, Koren, Gideon, Goldschmidt, Yaara, Shalev, Varda, Rosen-Zvi, Michal, Guindy, Michal

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Screening Human Embryos for Polygenic Traits Has Limited Utility von Karavani, Ehud, Zuk, Or, Zeevi, Danny, Barzilai, Nir, Stefanis, Nikos C., Hatzimanolis, Alex, Smyrnis, Nikolaos, Avramopoulos, Dimitrios, Kruglyak, Leonid, Atzmon, Gil, Lam, Max, Lencz, Todd, Carmi, Shai

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In vivo cleavage rules and target repertoire of RNase III in Escherichia coli von Altuvia, Yael, Bar, Amir, Reiss, Niv, Karavani, Ehud, Argaman, Liron, Margalit, Hanah

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Comment: Causal Inference Competitions: Where Should We Aim? von Karavani, Ehud, El-Hay, Tal, Shimoni, Yishai, Yanover, Chen

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In vivo cleavage rules and target repertoire of RNase III in Escherichia coli von Altuvia, Yael, Bar, Amir, Reiss, Niv, Karavani, Ehud, Argaman, Liron, Margalit, Hanah

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SA51THE LIMITS OF POLYGENIC EMBRYO SELECTION FOR COGNITIVE ABILITY von Lencz, Todd, Karavani, Ehud, Lam, Max, Barzilai, Nir, Stefanis, Nikolaos, Hatzimanolis, Alexandros, Atzmon, Gil, Carmi, Shai

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Propensity score models are better when post-calibrated von Gutman, Rom, Karavani, Ehud, Shimoni, Yishai

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Causalvis: Visualizations for Causal Inference von Guo, Grace, Karavani, Ehud, Endert, Alex, Kwon, Bum Chul

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Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation von Ter-Minassian, Lucile, Szlak, Liran, Karavani, Ehud, Holmes, Chris, Shimoni, Yishai

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A discriminative approach for finding and characterizing positivity violations using decision trees von Karavani, Ehud, Bak, Peter, Shimoni, Yishai

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Detecting positivity violations in multidimensional data von Shimoni, Yishai, Karavani, Ehud, Bak, Peter

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EMULATING RANDOMIZED CONTROLLED TRIALS USING GENERAL DATA von SZLAK, Liran, KAN-TOR, Yoav, SHIMONI, Yishai, TER-MINASSIAN, Lucile, KARAVANI, Ehud

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DETECTING POSITIVITY VIOLATIONS IN MULTIDIMENSIONAL DATA von KARAVANI, EHUD, SHIMONI, YISHAI, BAK, PETER

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Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation von Ter-Minassian, Lucile, Szlak, Liran, Karavani, Ehud, Holmes, Chris, Shimoni, Yishai

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Benchmarking Framework for Performance-Evaluation of Causal Inference Analysis von Shimoni, Yishai, Yanover, Chen, Karavani, Ehud, Goldschmnidt, Yaara

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Distributed anonymous scoring technique von Melamed, Roie, Shimoni, Yishai, Yitshak Ninio, Matan, Karavani, Ehud, Ravid, Sivan

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A discriminative approach for finding and characterizing positivity violations using decision trees von Karavani, Ehud, Bak, Peter, Shimoni, Yishai

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An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference von Shimoni, Yishai, Karavani, Ehud, Ravid, Sivan, Bak, Peter, Ng, Tan Hung, Alford, Sharon Hensley, Meade, Denise, Goldschmidt, Yaara

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Distributed Anonymous Scoring Technique von Melamed, Role, Shimoni, Yishai, Yitshak Ninio, Matan, Karavani, Ehud, Ravid, Sivan

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Benchmarking Framework for Performance-Evaluation of Causal Inference Analysis von Shimoni, Yishai, Chen Yanover, Karavani, Ehud, Goldschmnidt, Yaara

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