MissForest—non-parametric missing value imputation for mixed-type data

Cited by (1,024)

Items 301–400 of 1,024

1. Carotid Intima-Media Thickness in Healthy Children and Adolescents: Normative Data and Systematic Literature Review
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2. Gaussian noise up-sampling is better suited than SMOTE and ADASYN for clinical decision making
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3. Inflammation index SIRI is associated with increased all-cause and cardiovascular mortality among patients with hypertension
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4. Precision medicine for long-term depression outcomes using the Personalized Advantage Index approach: cognitive therapy or interpersonal psychotherapy?
   van Bronswijk, Suzanne C., DeRubeis, Robert J., Lemmens, Lotte H. J. M., Peeters, Frenk P. M. L., Keefe, John R., Cohen, Zachary D., Huibers, Marcus J. H. · 2021 · Psychological Medicine
5. Effect of liraglutide on thigh muscle fat and muscle composition in adults with overweight or obesity: Results from a randomized clinical trial
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7. Survival Prediction Models since Liver Transplantation - Comparisons between Cox Models and Machine Learning Techniques
   Kantidakis, Georgios, Putter, Hein, Lancia, Carlo, Boer, Jacob de, Braat, Andries E., Fiocco, Marta · 2020 · BMC Medical Research Methodology
8. Efficacy and cost-effectiveness of therapist-guided internet cognitive behavioural therapy for paediatric anxiety disorders: a single-centre, single-blind, randomised controlled trial
   Jolstedt, Maral, Wahlund, Tove, Lenhard, Fabian, Ljótsson, Brjánn, Mataix-Cols, David, Nord, Martina, Öst, Lars-Göran, Högström, Jens, Serlachius, Eva, Vigerland, Sarah · 2018 · The Lancet Child & Adolescent Health
9. Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems
   Najmeh Abiri, Björn Linse, Patrik Edén, Mattias Ohlsson · 2019 · Neurocomputing
10. Machine Learning and Mechanistic Modeling for Prediction of Metastatic Relapse in Early-Stage Breast Cancer
    Chiara Nicolò, Cynthia Périer, Mélanie Prague, Carine A. Bellera, Gaëtan Marie MacGrogan, Olivier Saut, Sébastien Benzekry · 2020 · JCO Clinical Cancer Informatics
11. A spatiotemporal approach for traffic data imputation with complicated missing patterns
    Huiping Li, Meng Li, Xi Lin, Fang He, Yinhai Wang · 2020 · Transportation Research Part C Emerging Technologies
12. Metabolomic profiles associated with bone mineral density in US Caucasian women
    Qi Zhao, Hui Shen, Kuan‐Jui Su, Ji-Gang Zhang, Qing Tian, Lan‐Juan Zhao, Chuan Qiu, Qiang Zhang, Timothy J. Garrett, Jiawang Liu et al. · 2018 · Nutrition & Metabolism
13. Predicting prolonged opioid prescriptions in opioid-naïve lumbar spine surgery patients
    Aditya V. Karhade, Thomas D. Cha, Harold A. Fogel, Stuart H. Hershman, Daniel G. Tobert, Andrew J. Schoenfeld, Christopher M. Bono, Joseph Hasbrouck Schwab · 2019 · The Spine Journal
14. On the consistency of supervised learning with missing values
    Julie Josse, Chen, Jacob M., Nicolas Prost, Erwan Scornet, Gael P. Varoquaux · 2019 · arXiv (Cornell University)
15. Efficacy of Guided iCBT for Depression and Mediation of Change by Cognitive Skill Acquisition
    Nicholas R. Forand, Jeffrey G. Barnett, Daniel R. Strunk, Mohammed U. Hindiyeh, Jason E. Feinberg, John R. Keefe · 2017 · Behavior Therapy
16. The Complex Interplay of Pain, Depression, and Anxiety Symptoms in Patients with Chronic Pain
    Gomez Penedo, Juan Martin, Julian A. Rubel, Larissa Tatjana Blättler, Stefanie J. Schmidt, Julian A. Stewart, Niklaus Egloff, Martin Grosse Holtforth · 2020 · Bern Open Repository and Information System (University of Bern)
17. Roots of Incivility: How Personality, Media Use, and Online Experiences Shape Uncivil Participation
    Lena Frischlich, Tim Schatto‐Eckrodt, Svenja Boberg, Florian Wintterlin · 2021 · Media and Communication
18. Missing data imputation framework for bridge structural health monitoring based on slim generative adversarial networks
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19. Missing Value Imputation Methods for Electronic Health Records
    Konstantinos Psychogyios, Loukas Ilias, Christos Ntanos, Dimitris Askounis · 2023 · IEEE Access
20. Online Well-Being Group Coaching Program for Women Physician Trainees
    Adrienne Mann, Ami N. Shah, Pari Shah Thibodeau, Liselotte N. Dyrbye, Adnan Syed, Maria A. Woodward, Kerri Thurmon, Christine DeLong Jones, Kimiko S. Dunbar, Tyra Leigh Fainstad · 2023 · JAMA Network Open
21. Stable graphical model estimation with Random Forests for discrete, continuous, and mixed variables
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22. Water stress limits transpiration and growth of European larch up to the lower subalpine belt in an inner‐alpine dry valley
    Nikolaus Obojes, Armin Konrad Meurer, Christian Newesely, Erich Tasser, Walter Oberhuber, Stefan Mayr, Ulrike Tappeiner · 2018 · New Phytologist
23. Variables of importance in the Scientific Registry of Transplant Recipients database predictive of heart transplant waitlist mortality
    Eileen Hsich, Lucy W. Thuita, Dennis M. McNamara, Joseph G. Rogers, Maryam Valapour, Lee R. Goldberg, Clyde W. Yancy, Eugene H. Blackstone, Hemant Ishwaran · 2019 · American Journal of Transplantation
24. Effect of tectonic processes on biosphere–geosphere feedbacks across a convergent margin
    Katherine Fullerton, Matthew O. Schrenk, Mustafa Yücel, Elena Manini, Marco Basili, Timothy J. Rogers, Daniele Fattorini, Marta Di Carlo, Giuseppe d’Errico, Francesco Regoli et al. · 2021 · Nature Geoscience
25. Genome-wide association study and genomic prediction using parental and breeding populations of Japanese pear (Pyrus pyrifolia Nakai)
    Mai F. Minamikawa, Norio Takada, Shingo Terakami, Toshihiro Saito, Akio Onogi, Hiromi Kajiya‐Kanegae, Takeshi Hayashi, Toshiya Yamamoto, Hiroyoshi Iwata · 2018 · Scientific Reports
26. Novel sources of resistance to Septoria nodorum blotch in the Vavilov wheat collection identified by genome-wide association studies
    Huyen T. T. Phan, Kasia Rybak, Stefania Bertazzoni, Eiko Furuki, Eric G. Dinglasan, Lee Thomas Hickey, Richard Peter Oliver, Kar‐Chun Tan · 2018 · Theoretical and Applied Genetics
27. Longitudinal analysis reveals transition barriers between dominant ecological states in the gut microbiome
    Roie Levy, Andrew T. Magis, John C. Earls, Ohad Manor, Tomasz Maciej Wilmanski, Jennifer C. Lovejoy, Sean M. Gibbons, Gilbert S. Omenn, Leroy Hood, Nathan D. Price · 2020 · Proceedings of the National Academy of Sciences
28. STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation
    Ye Yuan, Yong Zhang, Boyue Wang, Peng Yuan, Yongli Hu, Baocai Yin · 2022 · IEEE Transactions on Big Data
29. Clinical Course of Patients in Cardiogenic Shock Stratified by Phenotype
    Elric Zweck, Manreet Kaur Kanwar, Song Li, Shashank S. Sinha, Arthur Reshad Garan, Jaime Hernández-Montfort, Yijing Zhang, Borui Li, Paulina Baca, Fatou Dieng et al. · 2023 · JACC Heart Failure
30. Rape survivors' trauma-related beliefs before and after Cognitive processing therapy: Associations with PTSD and depression symptoms
    Katherine M. Iverson, Matthew W. King, Katherine C. Cunningham, Patricia A. Resick · 2015 · Behaviour Research and Therapy
31. Using Multi-Scale Genetic, Neuroimaging and Clinical Data for Predicting Alzheimer’s Disease and Reconstruction of Relevant Biological Mechanisms
    Shashank Khanna, Daniel Domingo‐Fernándéz, Anandhi Iyappan, Mohammad Asif Emon, Martin Hofmann‐Apitius, Holger Fröhlich · 2018 · Scientific Reports
32. Impact of Specimen Characteristics on PD-L1 Testing in Non–Small Cell Lung Cancer: Validation of the IASLC PD-L1 Testing Recommendations
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33. ANDC: an early warning score to predict mortality risk for patients with Coronavirus Disease 2019
    Zhihong Weng, Qiaosen Chen, Sumeng Li, Huadong Li, Qian Zhang, Sihong Lu, Li Wu, Leiqun Xiong, Bobin Mi, Di Liu et al. · 2020 · Journal of Translational Medicine
34. Participation, not penalties: Community involvement and equitable governance contribute to more effective multiuse protected areas
    Robert Y. Fidler, Gabby N. Ahmadia, Amkieltiela, Awaludinnoer, Courtney Cox, ESTRADIVARI ESTRADIVARI, Louise Glew, Christian Novia N Handayani, Shauna L. Mahajan, Michael B. Mascia et al. · 2022 · Science Advances
35. Priorities and conservation gaps across three biodiversity dimensions of rare and endangered plant species in China
    Yue Xu, Jihong Huang, Xinghui Lu, Yi Ding, Runguo Zang · 2018 · Biological Conservation
36. Predicting early risk of chronic kidney disease in cats using routine clinical laboratory tests and machine learning
    Richard Bradley, Ilias Tagkopoulos, Minseung Kim, Yiannis Kokkinos, Theodoros Panagiotakos, James Kennedy, Geert De Meyer, Phillip Watson, Jonathan Elliott · 2019 · Journal of Veterinary Internal Medicine
37. Application of Whole‐Genome Sequences and Machine Learning in Source Attribution of Salmonella Typhimurium
    Nanna Sophia Mucha Munck, Patrick Murigu Kamau Njage, Pimlapas Leekitcharoenphon, Eva Litrup, Tine Hald · 2020 · Risk Analysis
38. A machine learning approach for predicting suicidal thoughts and behaviours among college students
    Mélissa Macalli, Marie C. Navarro, Massimiliano Orri, Marie Tournier, Rodolphe Thiébaut, Sylvana M. Côté, Christophe Tzourio · 2021 · Scientific Reports
39. A functional vulnerability framework for biodiversity conservation
    Arnaud Auber, Conor A. Waldock, Anthony Maire, Éric Goberville, Camille P. Albouy, Adam C. Algar, Matthew J. McLean, Anik Brind’Amour, Alison L. Green, Mark H Tupper et al. · 2022 · Nature Communications
40. Nitrogen availability mediates soil organic carbon cycling in response to phosphorus supply: A global meta-analysis
    Xianzhen Luo, Lingling Zhang, Yongbiao Lin, Dazhi Wen, Enqing Hou · 2023 · Soil Biology and Biochemistry
41. Analysis of the relationship between sleep-related disorder and systemic immune-inflammation index in the US population
    Kaisaierjiang Kadier, Diliyaer Dilixiati, Aikeliyaer Ainiwaer, Xiaozhu Liu, Jian-De Lu, Pengfei Liu, Mierxiati Ainiwan, Gulinazi Yesitayi, Xiang Ma, Yi-Tong Ma · 2023 · BMC Psychiatry
42. A demonstration of conservation genomics for threatened species management
    Wright, Belinda R., Farquharson, Katherine A., McLennan, Elspeth A., Belov, Katherine, Hogg, Carolyn J., Grueber, Catherine E. · 2020 · Molecular Ecology Resources
43. Comparison of Teleintegrated Care and Telereferral Care for Treating Complex Psychiatric Disorders in Primary Care
    John C. Fortney, Amy M. Bauer, Joseph M. Cerimele, Jeffrey M. Pyne, Paul Pfeiffer, Patrick J. Heagerty, Matt Hawrilenko, Melissa J. Zielinski, Debra L. Kaysen, Deborah J. Bowen et al. · 2021 · JAMA Psychiatry
44. Estimate soil moisture of maize by combining support vector machine and chaotic whale optimization algorithm
    Bohao He, Biying Jia, Yanghe Zhao, Xu Wang, Wei Mao, Ranae N. Dietzel · 2022 · Agricultural Water Management
45. A comparison of imputation methods for categorical data
    Shaheen M. Z. Memon, Robert Wamala, Ignace Habimana Kabano · 2023 · Informatics in Medicine Unlocked
46. Psychometric properties and measurement invariance of the Beck hopelessness scale (BHS): results from a German representative population sample
    Sören Kliem, Anna Lohmann, Thomas Mößle, Elmar Brähler · 2018 · BMC Psychiatry
47. Prediction of Recurrence after Transsphenoidal Surgery for Cushing’s Disease: The Use of Machine Learning Algorithms
    Yi-Fan Liu, Xiao-Hai Liu, Xinyu Hong, Peng-Hao Liu, X. Bao, Yong Yao, B. Xing, Yan-Sheng Li, Yi Huang, Huijuan Zhu et al. · 2019 · Neuroendocrinology
48. Missing value estimation methods for DNA methylation data
    Pietro Di Lena, Claudia Sala, Andrea Prodi, Christine Nardini · 2019 · Bioinformatics
49. Health-Related Quality of Life during COVID-19 Pandemic: Assessing Impacts of Job Loss and Financial Support Programs in Japan
    Takaaki Ikeda, Ataru Igarashi, Satomi Odani, Masayasu Murakami, Takahiro Tabuchi · 2021 · Applied Research in Quality of Life
50. Iron regulatory protein (IRP)–mediated iron homeostasis is critical for neutrophil development and differentiation in the bone marrow
    Michael Bonadonna, Sandro Altamura, Elisabeth Tybl, Gaël Palais, Maria Qatato, Maria Polycarpou‐Schwarz, Martin Schneider, Christina Kalk, Wibke Rüdiger, Alina Ertl et al. · 2022 · Science Advances
51. Optimizing differential expression analysis for proteomics data via high-performing rules and ensemble inference
    Hui Peng, He Wang, Weijia Kong, Jinyan Li, Wilson Wen Bin Goh · 2024 · Nature Communications
52. Characterization of second primary malignancies post CAR T-cell therapy: real-world insights from the two global pharmacovigilance databases of FAERS and VigiBase
    Junyi Shen, Rong Hu, Anqi Lin, Aimin Jiang, Bufu Tang, Zaoqu Liu, Quan Cheng, Kai Miao, Jian Zhang, Peng Luo · 2024 · EClinicalMedicine
53. Exploring and exploiting the genetic variation of Fusarium head blight resistance for genomic-assisted breeding in the elite durum wheat gene pool
    Barbara Steiner, Sebastian Michel, Marco Maccaferri, Marc Lemmens, Roberto Tuberosa, Hermann Buerstmayr · 2018 · Theoretical and Applied Genetics
54. MedGCN: Medication recommendation and lab test imputation via graph convolutional networks
    Mao, Chengsheng, Yao, Liang, Luo, Yuan · 2022 · Journal of Biomedical Informatics
55. Combining machine learning and conventional statistical approaches for risk factor discovery in a large cohort study
    Iqbal Madakkatel, Ang Zhou, Mark D. McDonnell, Elina Hyppönen · 2021 · Scientific Reports
56. The specificity of the familial aggregation of early-onset bipolar disorder : A controlled 10-year follow-up study of offspring of parents with mood disorders
    Martin Preisig, Marie‐Pierre F. Strippoli, Enrique Castelao, Kathleen Ries Merikangas, Mehdi Gholam‐Rezaee, Pierre P. Marquet, Jean‐Michel Aubry, Caroline Louise Vandeleur · 2015 · Journal of Affective Disorders
57. A Comparison of Multiple Imputation Methods for Data with Missing Values
    Geeta Chhabra, Vasudha Vashisht, Jayanthi Ranjan · 2017 · Indian Journal of Science and Technology
58. Near-term climate change impacts on sub-national malaria transmission
    Jailos Lubinda, Ubydul Haque, Yaxin Bi, Busiku Hamainza, Adrian J. Moore · 2021 · Scientific Reports
59. Maximum Likelihood for Social Science
    Michael D. Ward, John S. Ahlquist · 2018 · Cambridge University Press eBooks
60. Combining Deep Learning and Handcrafted Radiomics for Classification of Suspicious Lesions on Contrast-enhanced Mammograms
    Manon P. L. Beuque, Marc B. I. Lobbes, Yvonka van Wijk, Yousif Widaatalla, Sergey P. Primakov, Michaël Majer, Corinne Balleyguier, Henry C. Woodruff, Philippe Lambin · 2023 · Radiology
61. Missing Value Imputation of Wireless Sensor Data for Environmental Monitoring
    Thomas Decorte, Steven Mortier, Jonas J. Lembrechts, Filip J. R. Meysman, Steven Latré, Erik Mannens, Tim Verdonck · 2024 · Sensors
62. Development of machine learning and natural language processing algorithms for preoperative prediction and automated identification of intraoperative vascular injury in anterior lumbar spine surgery
    Aditya V. Karhade, Michiel E. R. Bongers, Olivier Quinten Groot, Thomas D. Cha, Terence P. Doorly, Harold A. Fogel, Stuart H. Hershman, Daniel G. Tobert, Sunita D. Srivastava, Christopher M. Bono et al. · 2020 · The Spine Journal
63. Evidential reasoning for preprocessing uncertain categorical data for trustworthy decisions: An application on healthcare and finance
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64. A Survey of Generative Adversarial Networks for Synthesizing Structured Electronic Health Records
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65. Estimating extremely large amounts of missing precipitation data
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66. GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data
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67. Functional and phylogenetic diversity promote litter decomposition across terrestrial ecosystems
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68. Deep Learning–based Recurrence Prediction in Patients with Non–muscle-invasive Bladder Cancer
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69. Pulmonary Embolism in Hospitalized Patients with COVID-19: A Multicenter Study
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70. Agricultural intensification erodes taxonomic and functional diversity in Mediterranean olive groves by filtering out rare species
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71. Health and study dropout: health aspects differentially predict attrition
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72. Imputation of label-free quantitative mass spectrometry-based proteomics data using self-supervised deep learning
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73. Proteomic predictors of individualized nutrient-specific insulin secretion in health and disease
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74. Unsupervised Cluster Analysis of Patients With Aortic Stenosis Reveals Distinct Population With Different Phenotypes and Outcomes
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75. Predicting Longitudinal Progression in Functional Mobility After Stroke
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76. Technical note: A view from space on global flux towers by MODIS and Landsat: the FluxnetEO data set
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77. Patterns of polysubstance use and simultaneous co-use in high risk young adults
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78. Variational Autoencoder with Arbitrary Conditioning
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79. Handling missing data through deep convolutional neural network
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80. Pathways of resilience: Predicting school engagement trajectories for South African adolescents living in a stressed environment
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81. High-throughput phenotyping of physiological traits for wheat resilience to high temperature and drought stress
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82. Characterizing Interoceptive Differences in Autism: A Systematic Review and Meta-analysis of Case–control Studies
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83. Prediction of Railcar Remaining Useful Life by Multiple Data Source Fusion
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84. In rape trauma PTSD, patient characteristics indicate which trauma-focused treatment they are most likely to complete
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85. The terpene limonene induced the green mold of citrus fruit through regulation of reactive oxygen species (ROS) homeostasis in Penicillium digitatum spores
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86. Pea genomic selection for Italian environments
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87. Global change in the functional diversity of marine fisheries exploitation over the past 65 years
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89. Machine Learning Assessment of Early Life Factors Predicting Suicide Attempt in Adolescence or Young Adulthood
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90. Inflammation and Epigenetic Aging Are Largely Independent Markers of Biological Aging and Mortality
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91. Species invasiveness and community invasibility of North American freshwater fish fauna revealed via trait-based analysis
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92. Multiple Imputation Through XGBoost
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93. A Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and Progression
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94. Applying novel technologies and methods to inform the ontology of self-regulation
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95. Model selection to improve multiple imputation for handling high rate missingness in a water quality dataset
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96. Evaluating missing value imputation methods for food composition databases
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97. Biological traits of seabirds predict extinction risk and vulnerability to anthropogenic threats
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98. Energy Consumption Prediction of a CNC Machining Process With Incomplete Data
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99. Federated conditional generative adversarial nets imputation method for air quality missing data
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100. Survival benefit of extracorporeal membrane oxygenation in severe COVID-19: a multi-centre-matched cohort study
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