Casual Inference

著者： Lucy D’Agostino McGowan and Ellie Murray
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  • サマリー

  • Keep it casual with the Casual Inference podcast. Your hosts Lucy D’Agostino McGowan and Ellie Murray talk all things epidemiology, statistics, data science, causal inference, and public health. In partnership with the American Journal of Epidemiology.
    2021
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あらすじ・解説

Keep it casual with the Casual Inference podcast. Your hosts Lucy D’Agostino McGowan and Ellie Murray talk all things epidemiology, statistics, data science, causal inference, and public health. In partnership with the American Journal of Epidemiology.
2021
数学 科学
続きを読む 一部表示
エピソード
  • From Model to Meaning with Vincent Arel-Bundock | Season 6 Episode 4

    From Model to Meaning with Vincent Arel-Bundock | Season 6 Episode 4
    2025/04/24
    Vincent Arel-Bundock is a professor at the Université de Montréal, where he studies comparative and international political economy.
    • Vincent's website: https://arelbundock.com/
    • Vincent's book "Model to Meaning: How to Interpret Statistical Models With marginaleffects for R and Python": https://marginaleffects.com/
    Follow along on Bluesky:
    • Vincent: @vincentab.bsky.social
    • Ellie: @epiellie.bsky.social
    • Lucy: @lucystats.bsky.social
    🎶 Our intro/outro music is courtesy of Joseph McDade. Edited by Cameron Bopp.
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    45 分
  • Propensity Scores, R Packages, and Practical Advice with Noah Greifer | Season 6 Episode 3

    Propensity Scores, R Packages, and Practical Advice with Noah Greifer | Season 6 Episode 3
    2025/04/10

    Noah Greifer is a statistical consultant and programmer at Harvard University.

    Episode notes:

    • WeightIt package: https://ngreifer.github.io/WeightIt/
    • MatchIt package: https://kosukeimai.github.io/MatchIt/
    • Noah's awesome Stack Exchange post: https://stats.stackexchange.com/a/544958

    Follow along on Bluesky:

    • Noah: @noahgreifer.bsky.social
    • Ellie: @EpiEllie.bsky.social
    • Lucy: @LucyStats.bsky.social

    🎶 Our intro/outro music is courtesy of Joseph McDade. Edited by Cameron Bopp.
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    1 時間 22 分
  • Causal Assumptions and Large Language Models | Season 6 Episode 2

    Causal Assumptions and Large Language Models | Season 6 Episode 2
    2025/03/27

    Lucy and Ellie chat about large language models, chat interfaces, and causal inference.

    • Do LLMs Act as Repositories of Causal Knowledge?: https://arxiv.org/html/2412.10635v1

    Follow along on Twitter:

    • The American Journal of Epidemiology: @AmJEpi

    • Ellie: @EpiEllie

    • Lucy: @LucyStats

    🎶 Our intro/outro music is courtesy of Joseph McDade. Edited by Cameron Bopp.
    続きを読む 一部表示
    52 分

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