Network inference for modeling complex systems is becoming a central theme in biology and disease. However, network inference is a fast evolving aspect of data science in biological and biomedical research. The objective of this EMBO Workshop is to bring together experts from different disciplines to present and discuss their latest findings in using network inference and network integration for modeling the complexity of biological systems at the molecular dynamic and genetic levels. The workshop will facilitate trans-disciplinary interactions around new approaches and current biological and biomedical questions and showcase frontier research in network inference and biology.
More information can be found here:
Dr. Linda Valeri in the Department of Biostatistics at Columbia University Mailman School of Public Health is seeking a Postdoctoral Research Fellow. The position is available immediately. The one-year position can be extended to additionally two years on the basis of performance, evaluated at the end of each year. This position will provide the opportunity to carry out causal inference research in either or both of two collaborative avenues:
- The investigation of environmental mixtures health effects in the context of Bangladeshi and American perinatal and adult intergenerational cohorts in collaboration with the Department of Environmental Health Sciences at Columbia University and Harvard University.
- The analysis of mobile passive (GPS, call/text logs, sleep data) and active (surveys) data streams in collaboration with the New York Psychiatric Institute, NY, the Departments of Psychiatry at Columbia University and Harvard University, and McLean Hospital.
The broad goal of the successful candidate will be the development and application of blended causal inference and machine learning approaches and automated software tools. The approaches will be applied to harness exposomic data and mobile health data to investigate the joint causal effects of environmental and behavioral factors over time to inform policy on environmental mixtures and to discover behavioral targets of treatment in psychosis. The postdoctoral fellow will have the opportunity to collaborate with scientists across fields and across domestic and international research institutions.
The 2019 edition of the Summer School on Modern Methods in Biostatistics and Epidemiology will be held from June 2 to June 15, 2019 at Castelbrando, in Cison di Valmarino, Treviso, Italy.
The Summer School provides many introductory and advanced courses in medical statistics and epidemiology, and their application to etiology research and public health. Courses last one week (except for the Stata courses, held on Sunday, which last one day). Students can attend for one day, one week, or two weeks.
Instructors come from Harvard University and from several European institutions, including Karolinska Institutet, Leicester University, London School of Hygine and Tropical Medicine, Bocconi University and University of Milano-Bicocca.
Discounted rates are available to students, to returning or multiple participants, and to members of the IBS and of SISMEC. Early bird rates apply until March 24th, 2019. Discounts can be applied only after the registration fee is paid (on the remaining tuition amount).
IBS members have a 20% discount on the tuition fee.
For additional information and to apply please refer to: www.biostatepi.org
A course on advanced regression topics in modelling survival data is offered by the University of Milano – Bicocca on October 29-30, 2018. The course is given by Dott. Federico Rotolo (Innate Pharma, FR) at the School of Medicine, Via Cadore 48, Monza (https://www.medicina.unimib.it/it/dipartimento/come-raggiungerci).
The course is free, but if you would like to attend, please send an e-mail to firstname.lastname@example.org
First Day: Frailty Models (FM)
Motivating examples, Univariate vs Shared FMs, Parametric FMs, Semiparametric FMs , Research topics, Practical session with R
Second Day: Lasso Penalization
Penalized likelihood, The role of the tuning parameter, Cross-validation, Beyond the lasso penalty, Research topics, Practical session with R
PhD Program in Public Health, University of Milano – Bicocca
School of Medicine, University of Milano – Bicocca
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
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: