Seminar by Halina Frydman - Tests of the Markov property in a doubly censored model

You are all invited to an exciting seminar at Biostats on Tuesday, June 11 @ 15:15: 

Speaker: Halina Frydman, NYU Stern School of Business, NY, USA

Title: "Tests of the Markov property in a doubly censored model"

Abstract:

Titman and Putter (TP) (2022) proposed the log rank test of the Markov property in multi-state models for event history analysis. Rodriguez-Girondo and Una-Alvarez (2012) developed the test of the Markov property in an illness-death model based on Kendall's coefficient of concordance (Kendall's tau). Both papers allowed for right censored observations in their models. However, there has been no work reported in literature on the test of Markov property for interval censored multi-state models. I develop the test of Markov property in a three-state progressive model when all transition times are interval-censored.

Such model is called doubly censored and arises when patients are observed intermittently for the progression of a disease. The test is based on extended Kendall's tau. The developed test is illustrated with Aids data. I also adapt TP's log-rank test to an interval-censored three-state progressive model through the procedure described in the paper - this is work in progress. Since most of multi-state models considered in the literature are assumed to be Markov, it is important to test Markov assumption as there are alternatives to this assumption, such as independence of durations in states and semi-Markov model, that may lead to different conclusions about the modeling problem at hand.

For more information and to see the abstracts go to https://biostatistics.dk/seminars/

Unless otherwise stated, seminars will be held at CSS (det gamle Kommunehospital), Øster Farimagsgade 5, 1353 Copenhagen K, room 5.2.46. Tea will be served in the library of the section of Biostatistics half an hour before the seminar starts.