Joint modelling of longitudinal data and survival data

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Nội dung chi tiết: Joint modelling of longitudinal data and survival data

Joint modelling of longitudinal data and survival data

Joint modelling of longitudinal and survival data in stataDr Michael J Crowther1'2, Prof Paul c Lambert1'2 &Prof Keith R Abrams11 Department of Health

Joint modelling of longitudinal data and survival data h Sciences, University of Leicester, UK2 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, SwedenTimetable - Day

111.0011.30Welcome and introduction11.3012.30Introduction to survival analysis and longitudinal analysis12.3013.30Lunch13.3014.30Practical 114.3015.3 Joint modelling of longitudinal data and survival data

0Survival analysis with time-varying covariates and two-stage models15.3016.00Tea/Coffee16.0017.00Practical 219.00Course DinnerTimetable - Day 29.009.

Joint modelling of longitudinal data and survival data

15Lab review of day 19.1510.15Joint models of longitudinal and survival data10.1511.00Practical 311.0011.30Tea/Coffee11.3012.30Practical 3 continued12

Joint modelling of longitudinal and survival data in stataDr Michael J Crowther1'2, Prof Paul c Lambert1'2 &Prof Keith R Abrams11 Department of Health

Joint modelling of longitudinal data and survival data and farewellParticipant IntroductionsWhat is JM? & Terminology•Joint/Simultaneous Modelling•2 broad inter-linked processes:-Biomarker process (longit

udinal) [mixed] model-Time to clinical outcome process (survival/time-to-event) model•Focus may be ...-Estimating biomarker profile/trajectory allowin Joint modelling of longitudinal data and survival data

g for informative dropout, e.g. death-Estimating relationship between underlying [adjusting for measurement error] biomarker profile/trajectory and cl

Joint modelling of longitudinal data and survival data

inical outcomeWhat does JM add? - 2

Joint modelling of longitudinal and survival data in stataDr Michael J Crowther1'2, Prof Paul c Lambert1'2 &Prof Keith R Abrams11 Department of Health