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Data Science Popup Austin: Using LDA and Structural Topic Modeling to Explore Trending Topics in a Call Center
⏲ 10 min 20 sec ✓ 18-Apr-2016
The covariance matrix
⏲ 13 minutes 57 seconds 👁 45.1K
Understanding Covariance and Contravariance
⏲ 13 minutes 31 seconds 👁 4.4K
PSMG: Sensitivity analyses for unmeasured confounding in studies and meta-analyses
⏲ 41 min 91 sec ✓ 30-Apr-2019
Feature of the week #04: Transforming and adding covariates
⏲ 3 minutes 50 seconds 👁 1.3K
Interpreting the effects of 2 continuous covariates, and their interaction
⏲ 10 minutes 19 seconds 👁 983
Twitch -- Mixtape Sessions: Day 2
⏲ 201 min 64 sec ✓ 30-Jul-2022
Statistics 101: Understanding Covariance
⏲ 26 minutes 23 seconds 👁 185.3K
Covariates With PROCESS (SPSS or R) - Customizing Your Model
⏲ 4 minutes 40 seconds 👁 2.4K
Operational Reliability Assessment Using Multivariate Covariates (Edited Mandarin Webinar)
⏲ 30 min 49 sec ✓ 15-Aug-2017
SPSS - Moderation with PROCESS with Covariates (Model 1)
⏲ 44 minutes 49 seconds 👁 16.4K
THE MOST POWERFUL FREQUENCY OF GOD 963 HZ - WEALTH, HEALTH, MIRACLES WILL COME INTO YOUR LIFE
⏲
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_data-science-popup-austin-using-lda-and-structural-topic-modeling-to-explore-trending-topics-in-a-call-center.webp "Interested in what your customers (or their customers) are talking about, and how that’s changing over time? The most popular 'topic trending' analyses depend on the investigation of how keyword (or term) usage change over time. Using keyword trends to index topic trends is highly suitable for short-form text, such as search terms, hashtags, or tweets. However, exploring trends in topic prevalence across longer, more free-form texts, such as call center telephone transcripts, is better served")
_the-covariance-matrix.webp "Serrano.Academy")
_understanding-covariance-and-contravariance.webp "Christopher Okhravi")
_psmg-sensitivity-analyses-for-unmeasured-confounding-in-studies-and-meta-analyses.webp "4/16/2019nMaya Mathur, PhDnnObservational studies and meta-analyses may be compromised by unmeasured confounding. We describe simple metrics characterizing the sensitivity of single studies and meta-analyses to such confounding. For a single study, the “E-value” is defined as the minimum strength of association, on the risk ratio scale, that an unmeasured confounder would need to have with both the treatment and the outcome to fully explain away a specific treatment–outcome association, co")
_feature-of-the-week-04-transforming-and-adding-covariates.webp "Lixoft")
_interpreting-the-effects-of-2-continuous-covariates-and-their-interaction.webp "Proteus")
_twitch-mixtape-sessions-day-2.webp "Day two the Mixtape Sessions workshop on causal inference for Twitch. Today we covered causal graphs (first wrapping up the previous day's lecture on randomization inference), focusing very closely on the backdoor criterion and variable selection. We played close attention to the role that DAGs can and should play in variable selection so as to avoid the problems of condition on a nuisance variable called a collider.We then moved into a suite of estimators called broadly selection on observabl")
_statistics-101-understanding-covariance.webp "Brandon Foltz")
_covariates-with-process-spss-or-r-customizing-your-model.webp "Regorz Statistik")
_operational-reliability-assessment-using-multivariate-covariates-edited-mandarin-webinar.webp "Operational Reliability Assessment Using Multivariate Covariates (Edited Mandarin Webinar) from covariates")
_spss-moderation-with-process-with-covariates-model-1.webp "Statistics of DOOM")
_the-most-powerful-frequency-of-god-963-hz-wealth-health-miracles-will-come-into-your-life.webp "Espiritual Meditación")
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