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The Impact of Different Screening Model Structures on Cervical Cancer Incidence and Mortality Predictions: The Maximum Clinical Incidence Reduction (MCLIR) Methodology

Title: The Impact of Different Screening Model Structures on Cervical Cancer Incidence and Mortality Predictions: The Maximum Clinical Incidence Reduction (MCLIR) Methodology
Authors: Driesprong - de Kok, Inge; Burger, EA; Naber, Steffie; Canfell, K; Killen, J; Simms, K; Kulasingam, S; Groene, E; Sy, S; Kim, JJ; Ballegooijen, Marjolein
Source: Driesprong - de Kok, I, Burger, EA, Naber, S, Canfell, K, Killen, J, Simms, K, Kulasingam, S, Groene, E, Sy, S, Kim, JJ & Ballegooijen, M 2020, 'The Impact of Different Screening Model Structures on Cervical Cancer Incidence and Mortality Predictions: The Maximum Clinical Incidence Reduction (MCLIR) Methodology', Medical Decision Making, vol. 40, no. 4, 0272989x20924007, pp. 474-482.
Publisher Information: 2020
Document Type: Electronic Resource
Index Terms: dk/atira/pure/keywords/researchprograms/AFL001000/EMCNIHES026501; name=EMC NIHES-02-65-01; dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being; name=SDG 3 - Good Health and Well-being; info:eu-repo/semantics/article; info:eu-repo/semantics/publishedVersion
URL: https://pure.eur.nl/en/publications/ac7ca4d3-8688-4aaf-a5c9-cc1c473feadf; info:eu-repo/semantics/altIdentifier/doi/10.1177/0272989x20924007; info:eu-repo/semantics/altIdentifier/pissn/0272-989X; info:eu-repo/semantics/altIdentifier/eissn/1552-681X
Availability: Open access content. Open access content; info:eu-repo/semantics/openAccess
Note: application/pdf; English
Other Numbers: QGQ oai:pure.eur.nl:publications/ac7ca4d3-8688-4aaf-a5c9-cc1c473feadf; https://pure.eur.nl/en/publications/ac7ca4d3-8688-4aaf-a5c9-cc1c473feadf; https://doi.org/10.1177/0272989x20924007; https://pure.eur.nl/ws/files/48325026/Repub_128377_O-A.pdf; 1313628488
Contributing Source: ERASMUS UNIVERSITEIT ROTTERDAM; From OAIster®, provided by the OCLC Cooperative.
Accession Number: edsoai.on1313628488
Database: OAIster