The impact of repeated mass antigen testing for COVID-19 on the prevalence of the disease von Kahanec, Martin, Lafférs, Lukáš, Schmidpeter, Bernhard

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Causal mediation analysis with double machine learning von Farbmacher, Helmut, Huber, Martin, Lafférs, Lukáš, Langen, Henrika, Spindler, Martin

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Evaluating (weighted) dynamic treatment effects by double machine learning von Bodory, Hugo, Huber, Martin, Lafférs, Lukáš

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Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition von Huber, Martin, Lafférs, Lukáš

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Early child development and parents' labor supply von Lafférs, Lukáš, Schmidpeter, Bernhard

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Bounding average treatment effects using linear programming von Lafférs, Lukáš

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Supporting the right workplace experience: a dynamic evaluation of three activation programmes for young job seekers in Slovakia von Štefánik, Miroslav, Lafférs, Lukáš

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Identification in Models with Discrete Variables von Lafférs, Lukáš

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A note on bounding average treatment effects von Lafférs, Lukáš

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Sensitivity of the bounds on the ATE in the presence of sample selection von Lafférs, Lukáš, Nedela, Roman

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Sensitivity of Bounds on ATEs under Survey Nonresponse von Lafférs, Lukáš, Nedela, Roman

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Liver cirrhosis in Roma patients from the perspective of the liver transplant centre von Skladaný, Ľubomír, Adamcová Selčanová, Svetlana, Takáč, Radovan, Vnenčáková, Jana, Žilinčanová, Daniela, Lafférs, Lukáš

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Frailty in Nonalcoholic Fatty Liver Cirrhosis: A Comparison with Alcoholic Cirrhosis, Risk Patterns, and Impact on Prognosis von Skladany, Lubomir, Molcan, Pavol, Vnencakova, Jana, Vrbova, Petra, Kukla, Michal, Laffers, Lukas, Koller, Tomas

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Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition von Huber, Martin, Lafférs, Lukáš

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Challenging management of severe chronic disorders in acute pandemic situation: Chronic liver disease under COVID-19 pandemic as the proof-of-principle model to orchestrate the mea... von Skladany, Lubomir, Koller, Tomas, Adamcova Selcanova, Svetlana, Vnencakova, Janka, Jancekova, Daniela, Durajova, Viktoria, Laffers, Lukas, Svac, Juraj, Janickova, Katarina, Palkovič, Michal, Kohout, Pavel, Golubnitschaja, Olga

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Evaluating (weighted) dynamic treatment effects by double machine learning von Bodory, Hugo, Huber, Martin, Lafférs, Lukáš

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Double machine learning for sample selection models von Bia, Michela, Huber, Martin, Lafférs, Lukáš

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Double Machine Learning for Sample Selection Models von Bia, Michela, Huber, Martin, Lafférs, Lukáš

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Bounds on direct and indirect effects under treatment/mediator endogeneity and outcome attrition von Huber, Martin, Lafférs, Lukáš

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Causal mediation analysis with double machine learning von Farbmacher, Helmut, Huber, Martin, Lafférs, Lukáš, Langen, Henrika, Spindler, Martin

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