Meetings

Upcoming events

    • 28 Mar 2018
    • 12:00 PM
    • 11 May 2018
    • 11:59 PM
    • Online
    Register

    2018 WNAR Student Paper Competition


    Deadlines: Abstract submitted by Friday, May 11, 2018 and paper submitted by Friday, June 1, 2018.


    Monetary prizes: Awarded to the best papers in written and oral competitions. All entrants will receive fee registration and a free banquet dinner ticket!


    Eligibility: Papers may be submitted to the student paper competition by current students and recent graduates (graduation date not earlier than May 11, 2018) of programs in the WNAR Region (the western-most 13 U.S. states and 3 Canadian provinces) in biostatistics, statistics, or other applied mathematical fields having a biometric focus. All submitted papers must have been initiated in graduate school, where the bulk of the effort leading to the paper was put forth. Before submitting a paper, a student must register for the 2018 WNAR Meeting. Attendance at the conference is also required. Students must enter both the oral and written competitions. Students having previously won a WNAR student paper competition award are excluded from subsequent competitions. Students who wish to present a paper but do not wish to enter the competition may submit a contributed paper to the conference.


    Submission of Abstracts: In order to enter the student paper competition, both an abstract and a paper must be submitted. The abstract must be submitted via the conference website by May 11, 2018 (11:59 pm, PDT). Please submit the abstract under the student paper category. Abstracts are limited to 250 words.


    Submission of Manuscripts: Manuscripts should be prepared double-spaced, in manuscript format, using Biometrics guidelines for authors. They are limited to 10 pages including tables and figures, but exclusive of references. One-inch margins and at least 10-point font must be used. Reported research should be relevant to biometrics applications. The reported work must be that of the student, although collaborators may be co-authors, provided that the student is the first author. An electronic version of the paper should be sent to the Committee Chair with subject heading “WNAR Student Paper Competition". Papers must be received by June 1, 2018 (11:59 pm, PDT).


    Email manuscript to:

    Dr. Jessica Minnier


    • 24 Jun 2018
    • 27 Jun 2018
    • University of Alberta, Edmonton, AB Canada

    The 2018 WNAR/IMS meeting will be in Edmonton, Canada from 24-27 June at the University of Alberta.  The campus is located on the southern bank of the North Saskatchewan River.  As one of the largest cities in Canada, Edmonton is a cultural center, with many arts and culture events anchored in the downtown Arts District, accessible from campus by the city light rail system.  Both the Edmonton Jazz Festival and Freewill Shakespeare Festival are scheduled to occur in the city during the WNAR conference dates.  Most of the city has accessible bike and walking trail connections.  In addition, Edmonton is a 4 hour drive from Banff National Park, Canada’s oldest National Park and Alberta’s most visited tourist destination.  Visitors to Banff in the summer can enjoy hiking, camping, canoeing, cycling, fishing, golfing, kayaking, skateboarding, swimming, walking trails, and relaxing at the hot springs.   The local organizers are Bei Jiang and Linglong Kong.  Details about the meeting will be posted here as they become available.

    • 09 Sep 2018
    • 13 Sep 2018
    • Ponte di Legno, Brescia, Italy

    EXTENDED USE OF REGRESSION MODELS FOR NEW EPIDEMIOLOGIC DESIGNS AND ANALYSES

    9-13 September 2018 - Residential Course

    Ponte di Legno, Brescia, Italy

     

    FACULTY:

    Prof. Marie Reilly, Karolinska Institutet, Dept. of Medical Epidemiology and Biostatistics 

    Prof. Chuen Seng Tan, Saw Swee Hock School of Public Health, National University of Singapore

     

    ABSTRACT:

    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 those deriving from national health registers, electronic medical records or clinical studies). 

    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.

     

    Lectures will be interspersed with tutorials consisting of exercises, “journal club” sessions and workshops. In the workshops, participants may (i) develop and refine a study design to address a clinical/epidemiological research question or (ii) implement some method(s) on their own data in a supervised laboratory session.

     

    Full details on the course are on: http://www.summerschoolbicocca.com/statisticalps2018.php

    FEES (in Euro) : it will be inclusive of teaching material, bus transfer, hotel accommodation and meals (from 9 to 14 September included).
    1400    General participant
    1300    IBS/SISMEC member
    1100    PhD student

    For registration go to: http://www.summerschoolbicocca.com/statisticalps2018.php

    *** DEADLINE FOR REGISTRATION IS 31st May 2018 ***


    IMPORTANT:
    One scholarship will be provided for participation of PhD students. Modalities for application are explained in the web page.

    COORDINATORS:

    Maria Grazia Valsecchi

    Stefania Galimberti

    Paola Rebora

    Center of Biostatistics for Clinical Epidemiology, Department of Medicine and Surgery, University of Milano-Bicocca

    CONTACT: statisticalps@unimib.it


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