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  "Title": "Statistical Methods for Survival Data with Dependent Censoring",
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  "Description": "Several statistical methods for analyzing survival data\nunder various forms of dependent censoring are implemented in\nthe package. In addition to accounting for dependent censoring,\nit offers tools to adjust for unmeasured confounding factors.\nThe implemented approaches allow users to estimate the\ndependency between survival time and dependent censoring time,\nbased solely on observed survival data. For more details on the\nmethods, refer to Deresa and Van Keilegom (2021)\n<doi:10.1093/biomet/asaa095>, Czado and Van Keilegom (2023)\n<doi:10.1093/biomet/asac067>, Crommen et al. (2024)\n<doi:10.1007/s11749-023-00903-9>, Deresa and Van Keilegom\n(2024) <doi:10.1080/01621459.2022.2161387>, Willems et al.\n(2025) <doi:10.48550/arXiv.2403.11860>, Ding and Van Keilegom\n(2025) and D'Haen et al. (2025)\n<doi:10.1007/s10985-025-09647-0>.",
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