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  • Open Science for Observational Research: Lessons from the OHDSI Collaborative

    Contains 1 Component(s)

    Speakers: Patrick Ryan, PhD is Vice President, Observational Health Data Analytics at Janssen Research and Development

    Observational Health Data Sciences and Informatics (OHDSI; http://ohdsi.org) is an open science community of researchers and international data network that aims to improve health by empowering a community to collaboratively generate the evidence that promotes better health decisions and better care. OHDSI conducts methodological research, develops open-source analytics tools, and applies scientific best practices to the design and execution of observational network analyses. This webinar will provide an overview of OHDSI and demonstrate how the research community has collaborated to generate real-world evidence to support clinical characterization, population-level effect estimation, and patient-level prediction.

  • Addressing missing data in comparative effectiveness research based on electronic health records

    Contains 1 Component(s)

    Speakers: Irene Petersen, Professor, UCL, Primary Care & Population Health Sebastien Haneuse, PhD, Harvard T.H. Chan School of Public Health

    Electronic health records (EHR) have been increasingly used for comparative effectiveness research (CER) because it contains rich clinical information that is not typically available in other secondary data sources. However, missing data is a common limitation when using EHR for CER. Much key information, such as laboratory results, imaging data, smoking status, or body mass index, is missing not completely at random. Therefore, advanced statistical methods often need to be implemented to ensure study validity. We aim to discuss key considerations and specific statistical methods to address missing data in CER based on EHR in North America and Europe.

    In this webinar you will learn:
    1. To discuss key considerations when designing and implementing comparative effectiveness research (CER) based on electronic health records (EHR) with missing data
    2. To discuss statistical solutions for optimal validity of CER based on EHR with missing data

  • Pharmacoepidemiology of Drugs of Abuse

    Contains 1 Component(s)

    Speaker: Judy Staffa, PhD, RPh, FDA/CDER/OSE Epidemiologists at FDA have authored the first chapter ever on the “Pharmacoepidemiology of Drugs of Abuse” in the new edition of Brian Strom’s Pharmacoepidemiology text book. This webinar will contain an overview of how different abuse is than any other drug safety issue, with examples to illustrate the different types of data and methods needed to study it.

    Speaker: Judy Staffa, PhD, RPh, FDA/CDER/OSE

    Epidemiologists at FDA have authored the first chapter ever on the “Pharmacoepidemiology of Drugs of Abuse” in the new edition of Brian Strom’s Pharmacoepidemiology text book. This webinar will contain an overview of how different abuse is than any other drug safety issue, with examples to illustrate the different types of data and methods needed to study it.

  • ISPE Journal Club Webinar

    Contains 1 Component(s)

    Join us for the first every ISPE Journal Club Webinar! Jesper Hallas and Caroline Walsh will be leading the discussion on "Hydrochlorothiazide use and risk of nonmelanoma skin cancer: A nationwide case-control study from Denmark." Jesper Hallas, Professor, consultant, DrMedSc, University of Southern Denmark will provide a brief overview of the paper and then lead a discussion.

    Speaker: Jesper Hallas, Professor, consultant, DrMedSc, University of Southern Denmark

    Join us for the first every ISPE Journal Club Webinar! Jesper Hallas and Caroline Walsh will be leading the discussion on "Hydrochlorothiazide use and risk of nonmelanoma skin cancer: A nationwide case-control study from Denmark." 
    Jesper Hallas, Professor, consultant, DrMedSc, University of Southern Denmark will provide a brief overview of the paper and then lead a discussion.

  • Targeted Learning for Estimating Causal Effects in Observational and Randomized Studies

    Contains 1 Component(s)

    Targeted Learning offers a principled statistical approach to answering questions about health and safety from data. The targeted learning framework combines two state of the art methodologies, super learning (SL) for data adaptive machine learning, and targeted minimum loss-based estimation (TMLE) for efficient semi-parametric estimation. The presentation introduces the Targeted Learning estimation roadmap, and describes TMLE and Super Learning for estimating causal effects.

    Speaker: Susan Gruber, PhD, Sr. Director of IMEDS Methods Research,Reagan-Udall Foundation for the Food & Drug Admin 

    Targeted Learning offers a principled statistical approach to answering questions about health and safety from data. The targeted learning framework combines two state of the art methodologies, super learning (SL) for data adaptive machine learning, and targeted minimum loss-based estimation (TMLE) for efficient semi-parametric estimation.  The presentation introduces the Targeted Learning estimation roadmap, and describes TMLE and Super Learning for estimating causal effects.

  • An introduction to the National Patient-Centered Clinical Research

    Contains 1 Component(s)

    The webinar will include a 45-minute presentation by Adrian Hernandez, MD, Coordinating Center Principal Investigator. The presentation will provide an overview of PCORnet and its resources as well as examples of studies conducted in PCORnet.

    Speaker: Adrian Hernandez, MD, Coordinating Center Principal Investigator

    The webinar will include a 45-minute presentation by Adrian Hernandez, MD, Coordinating Center Principal Investigator. The presentation will provide an overview of PCORnet and its resources as well as examples of studies conducted in PCORnet.

  • Bias and Confounding Databases

    Contains 1 Component(s)

    Bias and Confounding Databases

    Bias and Confounding Databases

  • ADVANCED_Panel Discussion

    Contains 1 Component(s)

    ADVANCED_Panel Discussion

    ADVANCED_Panel Discussion

  • ADVANCED_Opportunities and limitations of EHR data for use in pharmacoepidemiologic studies

    Contains 1 Component(s)

    ADVANCED_Opportunities and limitations of EHR data for use in pharmacoepidemiologic studies

    ADVANCED_Opportunities and limitations of EHR data for use in pharmacoepidemiologic studies

  • ADVANCED_Using EHR databases in Taiwan

    Contains 1 Component(s)

    ADVANCED_Using EHR databases in Taiwan

    ADVANCED_Using EHR databases in Taiwan