Featured Publications
Simulating time-to-event data subject to competing risks and clustering: A review and synthesis
Meng C, Esserman D, Li F, Zhao Y, Blaha O, Lu W, Wang Y, Peduzzi P, Greene E. Simulating time-to-event data subject to competing risks and clustering: A review and synthesis. Statistical Methods In Medical Research 2022, 32: 305-333. PMID: 36412111, DOI: 10.1177/09622802221136067.Peer-Reviewed Original Research
2017
Transition probabilities between changing sensitization levels, waitlist activity status and competing-risk kidney transplant outcomes using multi-state modeling
Kulkarni S, Hall I, Formica R, Thiessen C, Stewart D, Gan G, Greene E, Deng Y. Transition probabilities between changing sensitization levels, waitlist activity status and competing-risk kidney transplant outcomes using multi-state modeling. PLOS ONE 2017, 12: e0190277. PMID: 29287087, PMCID: PMC5747475, DOI: 10.1371/journal.pone.0190277.Peer-Reviewed Original ResearchConceptsTransplant probabilityTransplant outcomesActivity statusKidney transplant outcomesKAS implementationPost-KASWaitlist mortalityPatient characteristicsOPTN databaseMulti-state modelingStatistical differenceSensitization levelOutcomesTransplantCohortImpact outcomesCPRAStatus combinationsStatusMortalityWhitesSensitization