Transportability of causal inference under random dynamic treatment regimes for kidney–pancreas transplantation
Author
Abstract
Suggested Citation
DOI: 10.1111/biom.13899
Download full text from publisher
References listed on IDEAS
- Wright, Marvin N. & Ziegler, Andreas, 2017. "ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 77(i01).
- Cain Lauren E. & Robins James M. & Lanoy Emilie & Logan Roger & Costagliola Dominique & Hernán Miguel A., 2010. "When to Start Treatment? A Systematic Approach to the Comparison of Dynamic Regimes Using Observational Data," The International Journal of Biostatistics, De Gruyter, vol. 6(2), pages 1-26, April.
- Jessica G. Young & Roger W. Logan & James M. Robins & Miguel A. Hernán, 2019. "Inverse Probability Weighted Estimation of Risk Under Representative Interventions in Observational Studies," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 114(526), pages 938-947, April.
- Victora, C.G. & Habicht, J.-P. & Bryce, J., 2004. "Evidence-Based Public Health: Moving Beyond Randomized Trials," American Journal of Public Health, American Public Health Association, vol. 94(3), pages 400-405.
- repec:nas:journl:v:115:y:2018:p:12441-12446 is not listed on IDEAS
- Jeffrey A. Boatman & David M. Vock, 2018. "Estimating the causal effect of treatment regimes for organ transplantation," Biometrics, The International Biometric Society, vol. 74(4), pages 1407-1416, December.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- repec:plo:pone00:0135879 is not listed on IDEAS
- Backer, David & Billing, Trey, 2024. "Forecasting the prevalence of child acute malnutrition using environmental and conflict conditions as leading indicators," World Development, Elsevier, vol. 176(C).
- Luis A Barboza & Shu-Wei Chou-Chen & Paola Vásquez & Yury E García & Juan G Calvo & Hugo G Hidalgo & Fabio Sanchez, 2023. "Assessing dengue fever risk in Costa Rica by using climate variables and machine learning techniques," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 17(1), pages 1-13, January.
- Mariana Oliveira & Luís Torgo & Vítor Santos Costa, 2021. "Evaluation Procedures for Forecasting with Spatiotemporal Data," Mathematics, MDPI, vol. 9(6), pages 1-27, March.
- Jelena Bradic & Weijie Ji & Yuqian Zhang, 2021. "High-dimensional Inference for Dynamic Treatment Effects," Papers 2110.04924, arXiv.org, revised May 2023.
- Eugenio Zucchelli & Andrew M Jones & Nigel Rice, 2012. "The evaluation of health policies through dynamic microsimulation methods," International Journal of Microsimulation, International Microsimulation Association, vol. 5(1), pages 2-20.
- Sonja Jungreitmayr & Susanne Ring-Dimitriou & Birgit Trukeschitz & Siegfried Eisenberg & Cornelia Schneider, 2021. "Effects of an Information and Communication Technology-Based Fitness Program on Strength and Balance in Female Home Care Service Users," IJERPH, MDPI, vol. 18(15), pages 1-14, July.
- Bokelmann, Björn & Lessmann, Stefan, 2024. "Improving uplift model evaluation on randomized controlled trial data," European Journal of Operational Research, Elsevier, vol. 313(2), pages 691-707.
- Joel Podgorski & Oliver Kracht & Luis Araguas-Araguas & Stefan Terzer-Wassmuth & Jodie Miller & Ralf Straub & Rolf Kipfer & Michael Berg, 2024. "Groundwater vulnerability to pollution in Africa’s Sahel region," Nature Sustainability, Nature, vol. 7(5), pages 558-567, May.
- Timothy O Abuya & Greg Fegan & Abdinasir A Amin & Willis S Akhwale & Abdisalan M Noor & Robert W Snow & Vicki Marsh, 2010. "Evaluating Different Dimensions of Programme Effectiveness for Private Medicine Retailer Malaria Control Interventions in Kenya," PLOS ONE, Public Library of Science, vol. 5(1), pages 1-9, January.
- Chakravorty, Bhaskar & Arulampalam, Wiji & Bhatiya, Apurav Yash & Imbert, Clément & Rathelot, Roland, 2024.
"Can information about jobs improve the effectiveness of vocational training? Experimental evidence from India,"
Journal of Development Economics, Elsevier, vol. 169(C).
- Chakravorty, Bhaskar & Arulampalam, Wiji & Bhatiya, Apurav Yash & Imbert, Clement & Rathelot, Roland, 2021. "Can information about jobs improve the effectiveness of vocational training? Experimental evidence from India," CAGE Online Working Paper Series 567, Competitive Advantage in the Global Economy (CAGE).
- Chakravorty, Bhaskar & Arulampalam, Wiji & Bhatiya, Apurav Yash & Imbert, Clement & Rathelot, Roland, 2021. "Can information about jobs improve the effectiveness of vocational training? Experimental evidence from India," The Warwick Economics Research Paper Series (TWERPS) 1361, University of Warwick, Department of Economics.
- Chakravorty, Bhaskar & Arulampalam, Wiji & Bhatiya, Apurav Yash & Imbert, Clement & Rathelot, Roland, 2021. "Can Information about Jobs Improve the Effectiveness of Vocational Training? Experimental Evidence from India," IZA Discussion Papers 14427, Institute of Labor Economics (IZA).
- Arjan S. Gosal & Janine A. McMahon & Katharine M. Bowgen & Catherine H. Hoppe & Guy Ziv, 2021. "Identifying and Mapping Groups of Protected Area Visitors by Environmental Awareness," Land, MDPI, vol. 10(6), pages 1-14, May.
- David Dorn & Florian Schoner & Moritz Seebacher & Lisa Simon & Ludger Woessmann, 2024.
"Multidimensional Skills on LinkedIn Profiles: Measuring Human Capital and the Gender Skill Gap,"
Papers
2409.18638, arXiv.org, revised May 2025.
- Dorn, David & Schoner, Florian & Seebacher, Moritz & Simon, Lisa & Woessmann, Ludger, 2025. "Multidimensional Skills on LinkedIn Profiles: Measuring Human Capital and the Gender Skill Gap," IZA Discussion Papers 17896, Institute of Labor Economics (IZA).
- David Dorn & Florian Schoner & Moritz Seebacher & Lisa Simon & Ludger Woessmann, 2025. "Multidimensional Skills on LinkedIn Profiles: Measuring Human Capital and the Gender Skill Gap," CESifo Working Paper Series 11846, CESifo.
- Albert Stuart Reece & Gary Kenneth Hulse, 2022. "European Epidemiological Patterns of Cannabis- and Substance-Related Congenital Neurological Anomalies: Geospatiotemporal and Causal Inferential Study," IJERPH, MDPI, vol. 20(1), pages 1-35, December.
- Foutzopoulos, Giorgos & Pandis, Nikolaos & Tsagris, Michail, 2024.
"Predicting full retirement attainment of NBA players,"
MPRA Paper
121540, University Library of Munich, Germany.
- Giorgos Foutzopoulos & Nikolaos Pandis & Michail Tsagris, 2024. "Predicting Full Retirement Attainment of NBA Players," Working Papers 2403, University of Crete, Department of Economics.
- Michael Parzinger & Lucia Hanfstaengl & Ferdinand Sigg & Uli Spindler & Ulrich Wellisch & Markus Wirnsberger, 2020. "Residual Analysis of Predictive Modelling Data for Automated Fault Detection in Building’s Heating, Ventilation and Air Conditioning Systems," Sustainability, MDPI, vol. 12(17), pages 1-18, August.
- Van Belle, Jente & Guns, Tias & Verbeke, Wouter, 2021. "Using shared sell-through data to forecast wholesaler demand in multi-echelon supply chains," European Journal of Operational Research, Elsevier, vol. 288(2), pages 466-479.
- Tania L. Maxwell & Mark D. Spalding & Daniel A. Friess & Nicholas J. Murray & Kerrylee Rogers & Andre S. Rovai & Lindsey S. Smart & Lukas Weilguny & Maria Fernanda Adame & Janine B. Adams & William E., 2024. "Soil carbon in the world’s tidal marshes," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
- Albert Stuart Reece & Gary Kenneth Hulse, 2022. "European Epidemiological Patterns of Cannabis- and Substance-Related Body Wall Congenital Anomalies: Geospatiotemporal and Causal Inferential Study," IJERPH, MDPI, vol. 19(15), pages 1-38, July.
- Philipp Bach & Victor Chernozhukov & Malte S. Kurz & Martin Spindler & Sven Klaassen, 2021. "DoubleML -- An Object-Oriented Implementation of Double Machine Learning in R," Papers 2103.09603, arXiv.org, revised Jun 2024.
- Marchetto, Elisa & Da Re, Daniele & Tordoni, Enrico & Bazzichetto, Manuele & Zannini, Piero & Celebrin, Simone & Chieffallo, Ludovico & Malavasi, Marco & Rocchini, Duccio, 2023. "Testing the effect of sample prevalence and sampling methods on probability- and favourability-based SDMs," Ecological Modelling, Elsevier, vol. 477(C).
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:biomet:v:79:y:2023:i:4:p:3165-3178. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0006-341X .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.