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Free online workshop on causal inference using longitudinal data

  • 2 Dec 2020 4:10 PM
    Reply # 9398680 on 9395558
    Gary Chan wrote:

    Hi Chris,

    Thanks for your interest.

    You can register to the workshop and i will see out a link to the recording to all registered participants.

    Alternatively, you can follow my twitter @GaryCkChan. 

    Cheers,

    Gary

    Awesome! Thanks Gary - looking forward to it. 
  • 1 Dec 2020 8:40 AM
    Reply # 9395558 on 9393665
    Deleted user

    Hi Chris,

    Thanks for your interest.

    You can register to the workshop and i will see out a link to the recording to all registered participants.

    Alternatively, you can follow my twitter @GaryCkChan. 

    Cheers,

    Gary

  • 1 Dec 2020 7:37 AM
    Reply # 9395471 on 9393665

    Hi there,

    I am very interested in this topic but cannot attend at this time. Will the seminar be recorded?

    Many thanks, Chris. 

  • 30 Nov 2020 10:48 AM
    Message # 9393665
    Deleted user

    Public Webinar/Workshop on causal inference

    I would love to invite you to the first workshop of my R/ StatsNotebook data analysis series.

    Title: Causal inference using longitudinal observation data – Adjusting for time varying confounders using inverse probability treatment weight (IPTW) and Marginal Structural Model (MSM)


    Date/ Time:

    8th December 2020 1.30pm – 3.00pm AEST (2.30pm-4.00pm in Sydney and Melbourne)

     

    About this workshop: Randomized controlled trial is the gold standard for causal inference yet it is not always feasible. Multi-wave longitudinal data is increasingly used for causal inference. Standard methods such as regression yield biased results in the presence of time-varying confounders. In this workshop, I will demonstrate using Inverse probability treatment weight (IPTW) and marginal structural model (MSM) to adjust for time-varying confounders.

    Examples in this workshop will be based on research in psychology, public health and epidemiology, and the analyses will be conducted in R and StatsNotebook.


    Link for R:
    https://www.r-project.org/

    Link for RStudio:

    https://rstudio.com/

    Link for StatsNotebook:
    http://gckc123.github.io/


    About the presenter: Dr. Gary Chan is a statistician and epidemiologist at the National Centre for Youth Substance Use Research, UQ. He is the chief developer of StatsNotebook, an open source R based statistics app. His research focuses on statistical software development, causal inferences, and the epidemiology of substance use among young people. He has served as a consultant at the United Nations Office on Drugs and Crime to evaluate the data collection methodology on global substance use data, and as a biostatistical consultant for the West Moreton Health Service.


    Registration This is a public workshop and registration is free. Please follow this link to register:

    https://uqz.zoom.us/meeting/register/tZctdO-sqDwsEtVWINoRfrdp6lQOYqwuNPC_

     

    Best regards,

    Gary C. K. Chan, PhD

    Twitter: https://twitter.com/GaryCKChan

    Facebook: www.facebook.com/StatsNotebook

    Website: http://gckc123.github.io/

     

    Statistician

    Software engineer at StatsNotebook.io

    NHMRC Emerging Leadership Fellow

    National Centre for Youth Substance Use Research

    University of Queensland

    17 Upland Road,

    St. Lucia, QLD 4072


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