Melissa Jay Smith
@MJSbiostats
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📊📈 Bayesian disease mapping, causal inference, environmental mixtures | @Iowa_Biostat & @ColoradoCollege alumna | she/her
Birmingham, AL
Joined March 2019
Kicked off my Statistical Methods II course this week! . I always look forward to teaching this core biostatistics class, which focuses on a survey of regression topics including linear regression (frequentist and Bayesian), logistic regression, and Cox regression.
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RT @ProjectShort: Do you know an undergraduate applying to nationally competitive awards like Goldwater, Udall, or NSF-REUs? Consider shari….
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Happy to answer any questions about these opportunities!.
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The UAB Department of Biostatistics is hiring *multiple* open-rank tenure-track faculty members and a teaching-track assistant/associate professor. Come join our highly collaborative and collegial department!. Open-rank faculty positions:
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RT @MaryCushmanMD: 1/ Thrilled to announce the renewal of the #REGARDSStudy grant! We have been funded since 2001 to study racial and regio….
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RT @cwstat: At 6 pm UTC @RuthHKeogh @LSHTM will be presenting "When prediction meets causal inference" #IDWSDS2024
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🌟Happy #IDWSDS2024 ! 🌟.
Jump into a session with our global presenters! #IDWSDS2024 @cwstat You're not too late! 23 more hours to go!
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RT @CynRaeBland: Going on now: A free, global, online conference showcasing the impact and stories of women in statistics and data science….
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RT @WakeForestStats: 🎉 Today marks the 3rd annual International Day of Women in Statistics and Data Science. The women of @WakeForest Stats….
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RT @emilyk_roberts: Check out this online conference happening next Tuesday! There is an exciting line-up of talks - hope to see you at the….
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Talks:. 3⃣ Comparison of methods for mediation analysis with multiple correlated mediator variables, Melissa Smith. 4⃣ Dealing with confounders in statistical mediation analysis, Milica Miočević, McGill University.
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Talks:. 1⃣Using marginalized zero-inflated models in causal mediation analysis, @dleannlong . 2⃣ Causal mediation analysis for multivariate longitudinal data and survival outcomes, Xiaoxiao Zhou.
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This session will highlight new statistical methods in causal mediation analysis for diverse types of outcomes, mediators, and confounders. Presenters: @dleannlong (@WakeBDS), Xiaoxiao Zhou (@UABbiostats), Milica Miočević (@mcgillu), and myself.
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