DOCENTE: Michael Crowther, University of Leicester CODICE CORSO: D-EB14 LINGUA:

Joint Modelling of Longitudinal and Survival Data

The joint modelling of longitudinal and survival data has been an area of growing interest in recent years, with the benefits of the approach becoming recognised in ever widening fields of study. The models can provide both an effective way of conducting an analysis of a survival endpoint (e.g. time to death), influenced by a time-varying covariate measured with error, or alternatively correct for non-random dropout in the analysis of a longitudinal outcome (e.g. a biomarker such as blood pressure). This one-day course will provide an introduction to joint modelling through real applications to both clinical trial data and electronic health records, using examples in cancer and liver cirrhosis. We will study the methodological framework, underlying assumptions, estimation, model building and predictions. We will also consider current developments in the field, looking at some of the many extensions of the standard framework, such as the ability to model multiple biomarkers and competing risks. The course will consist of lectures and computing exercises making use of the stjm and megenreg packages in Stata, written by the course lecturer.

This one day workshop is of particular interest to biostatisticians, epidemiologists, applied statisticians and researchers or professionals working in  economics, the social sciences or public health wishing to carry out survival analysis on longitudinal/panel data in their applied research.

Participants should be familiar with Stata. Working knowledge of survival analysis and an introductory knowledge of panel data is required.

Introductions

 

Lecture 1: Survival analysis, longitudinal analysis and their combination

Practical 1

 

Lecture 2: Joint modelling of longitudinal and survival data

Practical 2

 

Lecture 3: Extended association structures and predictions

Practical 3

 

Lecture 4: Further topics in joint modelling

 

Il corso è previsto a Bologna il 16 Novembre 2018 con orario dalle 9.00 alle 16.30.

 

 

QUOTA DI ISCRIZIONE

 

Il corso fa parte del programma del XV Convegno Italiano degli Utenti di Stata. E’ tuttavia consentita la partecipazione sia in concomitanza del Convegno sia alla sola giornata di corso alle tariffe di seguito indicate:

 

Convegno:
Studenti / Dottorandi*: € 62.00
Altre categorie: € 95.00

 

Corso di Formazione:
Studenti / Dottorandi* € 227.00
Altre categorie: € 350.00

 

Convegno e Corso di Formazione:
Studenti / Dottorandi* € 244.00
Altre categorie: € 375.00

 

*Per usufruire dello status “studente” è necessario presentare copia del libretto universitario o un certificato di iscrizione (in carta semplice) all’Università ed essere studenti a tempo pieno. I prezzi si intendono IVA 22% esclusa. L’aliquota IVA non sarà applicata per Enti Pubblici soggetti ad esenzione a norma dell’art. 14 c. 10 della L. 537/93 per la partecipazione a corsi di formazione dei propri dipendenti.

 

La quota di iscrizione include il materiale didattico, pause caffè e pranzo.

 

SCADENZA ISCRIZIONE05.11.2018.


L’iscrizione al corso dovrà avvenire tramite lo specifico modulo di registrazione e pervenire a TStat S.r.l. almeno 15 giorni prima dell’inizio del corso stesso. E’ possibile richiedere il modulo di registrazione compilando il seguente form oppure inviando una mail a formazione@tstat.it


NOME*


EMAIL*


OGGETTO


IL TUO MESSAGGIO


Termini e condizioni*
Autorizzo il trattamento dei dati personali ai sensi dell'articolo 13 del D.lgs. n.196/2003 - Testo completo



The joint modelling of longitudinal and survival data has been an area of growing interest in recent years, with the benefits of the approach becoming recognised in ever widening fields of study. The models can provide both an effective way of conducting an analysis of a survival endpoint (e.g. time to death), influenced by a time-varying covariate measured with error, or alternatively correct for non-random dropout in the analysis of a longitudinal outcome (e.g. a biomarker such as blood pressure). This one-day course will provide an introduction to joint modelling through real applications to both clinical trial data and electronic health records, using examples in cancer and liver cirrhosis. During the course of the day, participants will study the methodological framework, underlying assumptions, estimation, model building and predictions. Consideration will also be given to current developments in the field, looking at some of the many extensions of the standard framework, such as the ability to model multiple biomarkers and competing risks. The course will consist of lectures and computing exercises making use of the stjm and megenreg packages in Stata, written by the course lecturer.