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International Biometric Society - Italian region

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41 ISCB Conference – Krakow 23-27 August 2020

Here’s the an nouncement of the 41st Annual Conference of the International Society for Clinical Biostatistics (ISCB), which will be held in Kracow on August 23-27, 2020

Join biostatisticians and health researchers from across the world at the 41st Annual Conference of the International Society for Clinical Biostatistics (ISCB), which will be held on August 23-27, 2020, in the medieval city of Krakow, Poland (www.iscb2020.info). The submission of Abstracts for oral or poster presentations will be open from January 15 to February 29, 2020.

ISCB conferences inform participants about cutting-edge methodological developments in a broad range of areas of statistics and data sciences relevant for medical research, and their innovative applications in clinical, population health, epidemiology and biomedical science studies. The conferences are typically attended by 600-800 researchers in (bio-)statistics and health sciences from universities, hospitals, public health or government agencies, and pharmaceutical industry in more than 50 countries.

The 2020 ISCB conference will offer rich opportunities to discuss with your peers both the analytical challenges encountered in your research and methods developed to address these issues, and to interact with world renowned leaders in different fields of statistics and biostatistics. In Plenary Sessions eminent researchers will address topics hotly debated in modern biostatistics: in the President’s Invited talk Miguel A. Hernan (Harvard) will discuss using Causal Inference to learn from real-world evidence, and the two Keynote Speakers Frank Harrell Jr. (Vanderbilt) and Trevor Hastie (Stanford) will exchange views on the relationships between Statistical Modelling and Machine Learning. In the 12 Invited Sessions, leaders in their fields will provide comprehensive views of recent methodological developments in both traditional areas of biostatistics (survival analysis, longitudinal and observational data, clinical trials, efficient designs, dealing with measurement errors and other data deficiencies) and the emerging fields of big data and functional analysis, omics and personalized medicine, and Bayesian modelling of infectious diseases. Other invited sessions will focus on current controversies regarding the concept of ‘statistical significance’, on reconciling evidence from randomized controlled trials and from population-based observational studies of drug safety/effectiveness, and on challenges related to causal inference in the presence of unmeasured confounding.

Four full-day pre-conference Short Courses on Absolute Risks, High-dimensional Data, Measurement Errors, and Statistical Modelling will be given by internationally renowned experts. Five Mini-Symposia on data science, guidance for analyses of observational data, statistical methods for pharmaco-epidemiology/-economics, high-dimensional data, and meta-analyses will complete the program.

The Early Career Researchers’ Day will provide a unique opportunity for graduate students, post-doctoral fellows and biostatisticians at the beginning of their career to share experiences and advice, discuss opportunities and challenges, and practise their presentation skills in a less formal environment.

We encourage the submission of abstracts describing the development, critical examination and/or validation/comparison of new statistical methods, or innovative applications of modern biostatistics in research on human health.

Visit our conference website www.iscb2020.info for Abstract submission, registration and details of the conference program, including all 36 invited speakers and the titles of their talks, and the four short courses. Follow us on twitter @iscb41 to keep up to date with the information about the conference.

We look forward to seeing you in Krakow, with its World Heritage listed historical old town and its 656-year old Jagiellonian University.

Michal Abrahamowicz (McGill, Montreal, Canada) Chair of the Scientific Program Committee; and

Krystyna Szafraniec (Jagiellonian University, Krakow, Poland), Chair of the Local Organizing Committee

Research fellowship @UniSR Milano

A call is open for an annual research fellowship in SECS-S / 01 with deadline 20 December 2019 at Vita-Salute San Raffaele University. The call is available at the link:

https://www.unisr.it/attachments/DR_6224_2019/da3ee0ee-c6f5-4632-a4ed-f64536fee107/ca4fa10d-c1ad-4b66-9ca5-142b84de73fc.pdf

The research is in the scope of a broad relationship of collaboration that CUSSB has with the Bioengineering group of the Politecnico di Milano for the implementation of advanced methods in the evaluation of emotions (http://pheel.polimi.it/) .

The research fellow will also interact with many research groups of the IRCCS San Raffaele and will take advantage of a wide network of both national and international collaborations. The research funds for the fellowship are available for renewal up to 3 years.

STATISTICALPS 2020

Also this year the IBS Italian region promotes the Statisticalps course. In this post you can find the first available details.

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

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We are pleased to announce that the 9th edition of the STATISTICALPS residential course will be a “Winter edition” – 6-11 September 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/

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

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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.

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A detailed program with fees and deadlines can be found in the brochure:

You can email us at statisticalps@unimib.it 

You can also follow us on

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

Twitter @StatisticAlps

PhD position in Public Health Sciences at University of Milan, Italy.

The PhD in Public Health Sciences is mostly directed to young candidates whose interest is to develop research on international topics including clinical and epidemiological settings. To facilitate a multidisciplinary approach, the PhD in Public Health Sciences is open to young graduates belonging not only in the medical and health-care fields but also in other scientific fields, such as Biology, Biotechnology, Veterinary medicine, Statistics, Sociology, and Economics.

Successful candidates will receive a fellowship by the University of Milan, and will work in an interdisciplinary and stimulating environment.

The fellowships are for a period of 3 years, starting from October 2019.

The interested candidates must apply to the Ph.D call that is currently open online at the website

https://anteprima.unimi.it/en/taxonomy/term/8

and

https://anteprima.unimi.it/en/postgraduate/phd/ay-2019-2020-public-health-sciences

The deadline for applications will be 24 june 2019 (14:00)

For further information please contact:

Prof. Carlo La Vecchia – carlo.lavecchia@unimi.it

Chiara Padovese – chiara.padovese@unimi.it

Women’s day in Mathematics, May 10th 2019

We at SIB have welcomed the invitation of many international scientific societies to celebrate women’s day in mathematics, identified with May 12 (https://may12.womeninmaths.org/).
In particular, SIB organized on May 10th, an event that focuses not only on the contribution of women in biostatistics research but also on biostatistics in research for women’s health. You’re all invited.

The flyer with all the details can be downloaded here:

Italian Bayesian Day for Clinical Research, Torino, May 10th 2019

Il 10 maggio a Torino presso la sala Principi D’Acaja del rettorato dell’università di Torino, l’Italian Biostatistics Group (IBIG), una società di statistici farmaceutici italiani e membro italiano della EFSPI (https://www.efspi.org/), organizza la prima edizione dell’”Italian Bayesian Day for Clinical Research”. Si dibatterà di aspetti classici e innovativi della metodologia bayesiana applicata allo sviluppo clinico. Relatori provenienti dall’accademia e dall’industria proporranno diverse prospettive sull’impiego della statistica bayesiana, ancora poco utilizzata nel contesto della ricerca clinica.

Particolare attenzione sarà rivolta al ruolo della statistica bayesiana nei processi decisionali, dalla determinazione della dimensione campionaria, all’analisi dei dati, alla pianificazione degli studi clinici. L’evento sarà tenuto in lingua inglese.

Per ulteriori informazioni e modalità di registrazione: https://simef.it/index.php?option=com_eventbooking&view=event&id=478&catid=7&Itemid=386&lang=it

Ci sono limitate possibilità di finanziamento per la partecipazione di studenti.

Research fellowship @ CUSSB – Milano

Sarà emesso a breve (entro fine giugno) un bando per un assegno di ricerca nel settore statistico per un periodo di un anno – rinnovabile – per un’attività di ricerca da svolgersi presso il CUSSB (Unisr-Milano).
L’obiettivo della ricerca è quello di sviluppare tecniche di data-integration per la modellizzazione di dati di diversa natura, elettrofisiologici, neurofisiologici, scale psicometriche, nella valutazione delle emozioni. In particolare, si andrà a studiare la struttura di dipendenza tra risposta soggettiva, risposta oggettiva psicofisiologica e le misure di efficacia associate a messaggi visivi (da media/social media) a forte valenza emotiva per valutarne l’ impatto informativo.
Il contesto di applicazione va dalla valutazione delle campagne in Sanità al social marketing piu’ in generale. Il progetto coinvolgerà candidati particolarmente motivati a lavorare in un contesto multidisciplinare (statistica, biomedicina, psicologia, bioingegneria).

Il bando è indirizzato a giovani in possesso di un dottorato di ricerca (in materie statistico-quantitative) con competenze nell’ambito di network possibilmente anche in contesti tempo-varianti. In attesa dell’emissione del Bando Ufficiale invito tutti gli interessati ad inviare il loro curriculum già da ora alla mia attenzione (diserio.clelia@hsr.it).

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