[Forum SIS] *-- STATISTICALPS: course on medical statistics in the Alps --*

[Laura Antolini]

*-- STATISTICALPS: course on medical statistics in the Alps --*


We are pleased to announce that the 9th edition of the STATISTICALPS
residential course will be a "Winter edition" - 2nd-5rd March 2020, Ponte
di Legno (Brescia, Italy).



* -- Instructors --*



Richard Cook, Professor of Statistics in the Department of Statistics and
Actuarial Science at the University of Waterloo in Canada
*http://www.math.uwaterloo.ca/~rjcook/
<http://www.math.uwaterloo.ca/~rjcook/>*



Daniel Farewell, Reader of Statistics in the School of Medicine at the
Cardiff University in UK
*https://www.cardiff.ac.uk/people/view/123049-farewell-daniel
<https://www.cardiff.ac.uk/people/view/123049-farewell-daniel>*



THE ANALYSIS OF LONGITUDINAL AND LIFE HISTORY DATA



This course will provide an introduction to statistical methods for the
analysis of longitudinal and life history data. An emphasis will be given
to the kinds of data arising in epidemiology and public health research,
with some issues being specific to the analysis of data from clinical
studies.



The course will begin with a focus on common approaches for the analysis of
repeated measurements from individuals over common scheduled assessment
times, including mixed effects models, generalized estimating equations,
and autoregressive models. Models and methods will then be discussed for
the analysis of life history data obtained from continuous observation of
individuals who are subject to right-censoring.



Following an introduction to survival analysis, methods or the analysis of
recurrent event and multistate data will be covered. When data are only
available from individuals at intermittent clinic visits, the underlying
processes of interest are incompletely observed. Strategies for dealing
with such data will be discussed for longitudinal marker processes, failure
time processes and multistate models.



The assumptions justifying the various approaches to analysis will be
highlighted, and the interpretation of covariate effects and other possible
estimands will be emphasized. Recurring themes will include robustness, the
implications of a dependence between the longitudinal or life history
process and the observation process (i.e. missing data, censoring and
informative observation mechanisms), and causal inference. Substantive
examples from medical science will be used throughout the course to
motivate the methods and illustrate the different interpretations given to
estimates of intervention and other covariate effects. R code and selected
output will be provided in worked examples.



A detailed program with fees and deadlines will be circulated later.



You can email us at statisticalps a unimib.it

You can follow us on

Facebook *https://www.facebook.com/Statisticalps-Course-on-Medical-Statistics-9th-edition-2243932959157446/
<https://www.facebook.com/Statisticalps-Course-on-Medical-Statistics-9th-edition-2243932959157446/>*

Twitter @StatisticAlps
-------------- parte successiva --------------
Un allegato HTML è stato rimosso...
URL: <http://www.stat.unipg.it/pipermail/sis/attachments/20190717/442ceff4/attachment.html>