Competing Risks and Multistate models are widely used in medical research when survival data involve composite outcomes with absorbing events (competing risks) and possible intermediate events (multistate). These models can be used to obtain risk prediction on future outcome development and to assess the prognostic impact of patient characteristics and therapeutic interventions on the outcome development.
Prediction – The incidence function is generalized to competing risks data by its decomposition into absolute risks of each absorbing event. Absolute risks are called “crude probabilities” emphasizing the indirect protection that each absorbing event determines on the others. In the presence of multistate data, the intermediate events are included in the absolute risks which are called “state probabilities”, emphasizing that subjects may sojourn in intermediate states in the multistate process that takes to the absorbing events.
Prognostic Impact – The hazard function is generalized to competing risks data by its decomposition into cause specific hazard of each absorbing event. In the presence of multistate data, the intermediate events are included among the hazard functions that are called “transition hazard” between the states, to emphasize the motion among the intermediate and absorbing states.
The course will deal first with the clinical questions and corresponding theoretical quantities. This link will be crucial to guide the student in the approach to estimation and inference to be adopted.
Syllabus available at https://elearning.unimib.it/course/info.php?id=22057
To enroll please write to Laura Antolini email@example.com
Host Organization: University of Milano Bicocca, School of Medicine – Monza via Cadore 48
Following the success of the “Networking Biostatistics” joint conference hold in Milano last April, we are promoting a special session on “Networking biostatistics and bioinformatics” at CIBB (Computational Intelligence methods for Bioinformatics and Biostatistics) conference, which is an International conference on biostatistics, bioinformatics, systems and synthetic biology and medical informatics.
This year the Conference will take place in Portugal (6-8 September) at the Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal.
The goal of the session is to encourage a “data driven” approach aimed at developing appropriate models that provide new insights into the biomedical problem. Since, in the big data era, the biomedical data turns out to be complex and multivariate, robust and computationally efficient statistical tools are needed to investigate complex dependecies within data structure.
In this spirit, the special session will be devoted to both theoretical advances and applications of statistical methods for the analysis of high-dimensional genetic/omics data. Topics of interest include, but are not limited to:
• Expert Systems and Bayesian Networks
• Graphical models
• Multivariate techniques for dimensionality reduction
• Latent class (mixed) modelling
We hope the CIBB conference matches your scientific interests.
More detail on the conference and the scientific topics of the conference, are available at the conference website http://eventos.fct.unl.pt/cibb2018.
A course on Practical Problems in Quantification is offered free of charge by the University of Florence on May 16-17, 2018.
The course is given in the morning at Dipartimento di Statistica, Informatica, Applicazioni “G. Parenti”. viale Morgagni 57/59 Firenze, Aula 32.
If you would like to attend please confirm your participation via email to firstname.lastname@example.org
Introduction: Science: is there a crisis? The case of the p-test (Andrea Saltelli)
Prodromes of PNS: Trans-science; Three types of risk assessment: The rainbow diagram and its evolution; Post-normal science & legacy: Facts-Values, Models of Science & Policy, NUSAP (Silvio Funtowicz)
Ethics of quantification; Sensitivity auditing; the seven rules with illustrations; Quantitative story telling against hypocognition & socially constructed ignorance; A new grammar for modelling? (Andrea Saltelli and Silvio Funtowicz)
The now of science (Silvio Funtowicz and Andrea Saltelli)
Italian Region of The International Biometric Society; Societa’ Epidemiologia e Prevenzione “G. A. Maccacaro”
Dipartimento di Statistica, Informatica, Applicazioni “G. Parenti”, Universita’ di Firenze
PDF Flyer with more info
The Italian and Dutch IBS regions organise COSTNET Networking Biostatistics meeting and training school!
Milano, 12-13 April 2018
Networking Biostatistics is a short international COSTNET conference organized by Italian and Dutch IBS regions to promote networks among IBS regions, networks among biostatisticians, early career researchers and PhD students, and collaboration among biomedical researchers and biostatisticians in general, looking for network procedures and statistical methods for a real contribution in modelling modern biomedical data. The main challenge of this European Cooperation for Statistics of Network Data Science (COSTNET) conference is “to create a broad community which includes researchers across the whole of Europe and at every stage in their scientific career and to facilitate contact with stakeholders”.
The conference includes five parts:
1. Invited speakers session: speakers invited from COSTNET belonging two IBS regions (italian-dutch) on advanced methods for biomedical data.
2. Short posters presentation: poster contributions will be introduced with a 5 minutes flash presentation.
3. Posters session with awards.
4. Round table with spontaneous contributions on “Networking modern biomedical researchers and biostatisticians: from big Data to Big information”
5. Two short courses on network modelling.
The Conference held in Vita-Salute San Raffaele University in Milan which is one of the most important University Hospitals in Italy and one of the leading research and medical centers in Italy and Europe.
STATISTICALPS: Summer course on medical statistics in the Alps, 8th edition
EXTENDED USE OF REGRESSION MODELS FOR NEW EPIDEMIOLOGIC DESIGNS AND ANALYSES
9-13 September 2018 – Residential Course
Ponte di Legno, Brescia, Italy
Prof. Marie Reilly, Karolinska Institutet, Dept. of Medical Epidemiology and Biostatistics
Dr. Chuen Seng Tan, Saw Swee Hock School of Public Health, National University of Singapore
The overall aim of this course is to present approaches to statistical design and analysis that enable researchers to design more efficient epidemiological studies and to better utilize available data from well-defined cohorts (such as national health registers or electronic medical records). The course will compare and contrast different sampling designs and the various parameter estimates they can yield by careful “reconstruction” of the underlying cohort or extensions to the regression models used. In particular, the course will show how variations of the case-control design can produce efficient and unbiased estimates of the hazard ratio and other quantities, and how the concepts of matching from classical epidemiological studies can be extended to studies of continuous outcomes. The course will demonstrate the application of these methods in designing studies to make efficient use of costly data and to conduct more flexible and informative analysis.
The 2018 edition of the Summer School on Modern Methods in Biostatistics and Epidemiology provides introductory and advanced courses in medical statistics and epidemiology, and their application in etiology research and public health. Courses last one week (except for Stata courses, held on the two Sundays, which last one day each).
Both introductory and more advanced one-day courses on Stata will be offered. Students can attend for a day, one week, or two weeks.
The school will be held from June 3 to June 16, 2018 at CastelBrando, Cison di Valmarino, Treviso, Italy.
Deadline for early registration is March 21 2018.
Please visit the course homepage for more information:
The International Biometric Society (IBS) invites abstracts for contributed oral and poster presentations for the 2018 International Biometric Conference (IBC2018) to be held in Barcelona, Spain from 8-13 July 2018.
You can find all the info you are looking for in the conference website:
The deadline date for contributed session proposals has been extended. Abstracts must be submitted online by Friday, 19 January 2018. Submissions from a broad range of topics and perspectives are encouraged. See this announcement for a complete list of methodological topics and application areas that will be covered during the conference.
All abstracts must be submitted online . Each abstract submission must include the title, list of authors and author affiliations, and abstract, with each submission having a maximum length of 2,500 characters. The number of oral abstract submissions with the same presenting author is limited to one. All submitted abstracts will be reviewed by the IBC2018 International Program Committee, and presenting authors will be informed of the status of their abstract (oral presentation, poster presentation, rejection) by Monday, 12 March 2018.
Again, all abstracts must be submitted no later than Friday, 19 January 2018. For complete details, please click here.
-International Biometric Office (IBO)
The seventh Survival Analysis for Junior Researchers conference will be held in Leiden (NL) on 24-26 April 2018.
It is possible to send contributions till December 10th. More informations in the flyer linked below.
A two-year research position in Statistics within the Department of Policy Analysis and Public
Management is available at Bocconi University. The researcher will support research activity
on the development and application of statistical methods for research in Health.
Candidates should have received, as a preferred qualification, a PhD or equivalent
degree in Statistics or other relevant fields, carried out in Italy or abroad. A degree
that is in the process of being conferred should be mentioned in the application.
The deadline for application is 30 NOVEMBER 2017 at 12:00 (noon)
The (somewhat negotiable) starting date is February 1, 2018.
Marco Bonetti will be supervising the research. Any inquiries should be
directed to email@example.com
These are the application links:
Application form .docx
È indetta la selezione per il conferimento di n.1 assegno di ricerca (settore scientifico-disciplinare MED/01 STATISTICA MEDICA) dal titolo: “DISEGNI DI STUDI INNOVATIVI E APPROCCI STATISTICI PER LO STUDIO DI BIOMARCATORI NELLA MEDICINA DI PRECISIONE” nell’ambito del progetto SIR-MIUR RBSI14LOVD (IDEA: Innovative DEsigns and statistical Approaches for biomarker development)
Il Centro di Biostatistica per l’Epidemiologia Clinica, Dipartimento di Medicina e Chirurgia, Università degli Studi di Milano-Bicocca (Monza) sta cercando un laureato in statistica, con un dottorato di ricerca attinente, nell’ambito del progetto SIR (IDEA: Innovative DEsigns and statistical Approaches for biomarker development).
L’attività del candidato si focalizzerà sulla metodologia di disegni di studio innovativi ed i relativi metodi statistici nella medicina di precisione, prevalentemente in presenza di outcome di sopravvivenza. In particolare il candidato si concentrerà su disegni di studio efficienti e sulla valutazione e validazione dei biomarcatori, per un loro utilizzo nella pratica clinica. Il lavoro metodologico sarà accompagnato e motivato da diverse applicazioni, in particolare nell’ambito delle Malattie Fibroproliferative Croniche.
Sede lavorativa: Centro di Biostatistica per l’Epidemiologia Clinica, Dipartimento di Medicina e Chirurgia, Università degli Studi di Milano-Bicocca, Monza.
Scadenza per la presentazione della domanda: 06 Dicembre 2017
Durata contratto: 1 anno (+1 rinnovabile)
Data inizio prevista: Gennaio 2018
Per informazioni scrivere a firstname.lastname@example.org
Il bando è disponibile a questo indirizzo:
· Franca R, Rebora P, Basso G, Biondi A, Cazzaniga G, Crovella S, Decorti G, Fagioli F, Giarin E, Locatelli F, Poggi V, Valsecchi MG, Rabusin M. Glutathione S-transferase homozygous deletions and relapse in childhood acute lymphoblastic leukemia: a novel study design in a large Italian AIEOP cohort. Pharmacogenomics. 2012 Dec;13(16):1905-16. doi: 10.2217/pgs.12.169. ISSN: 14622416
· Rebora P, Valsecchi MG. Survival estimation in two-phase cohort studies with application to biomarkers evaluation. Stat Methods Med Res. 2014 May 19. pii: 0962280214534411.
· Rebora P, Antolini L, Glidden DV, Valsecchi MG. Crude incidence in two-phase designs in the presence of competing risks. BMC Med Res Methodol. 2016 Jan 11;16:5. doi: 10.1186/s12874-015-0103-1.
· Viazzi F, Rebora P, Giussani M, Orlando A, Stella A, Antolini L, Valsecchi MG, Pontremoli R, Genovesi S. Increased Serum Uric Acid Levels Blunt the Antihypertensive Efficacy of Lifestyle Modifications in Children at Cardiovascular Risk. Hypertension. 2016 May;67(5):934-40. doi: 10.1161/HYPERTENSIONAHA.115.06852. Epub 2016 Mar 28. ISSN: 0194-911X.