Synopsis of Social media discussions
Discussions reflect a balanced recognition of the article’s focus on variable selection strategies, with posts mentioning terms like 'overview,' 'methods,' and 'room for improvement.' The tone remains professional and focused, which suggests a shared understanding of the importance of methodological rigor but limited emotional investment in immediate impact.
Agreement
Moderate agreementMost discussions acknowledge the importance of reviewing variable selection methods, showing general support or moderate agreement with the article's premise.
Interest
Moderate level of interestParticipants show some interest, especially when mentioning the strategies or potential improvements in epidemiological research.
Engagement
Moderate level of engagementComments provide overviews of the article’s content and relate it to broader practices in epidemiology, indicating a moderate level of engagement.
Impact
Neutral impactWhile some posts highlight the significance of methodological improvements, few suggest they believe this review will lead to immediate major changes, resulting in a neutral impact score.
Social Mentions
YouTube
3 Videos
10 Posts
Metrics
Video Views
320
Total Likes
36
Extended Reach
22,201
Social Features
13
Timeline: Posts about article
Top Social Media Posts
Posts referencing the article
Improving Variable Selection Methods in Epidemiological Research
This lecture provides an overview of recent reviews on variable selection in epidemiology, highlighting ongoing reliance on traditional methods like stepwise analysis and advocating for improved practices using causal diagrams and prior knowledge.
Review of Variable Selection Methods in Epidemiology Research
We analyze the paper discussing variable selection methods in epidemiological studies from 2015, highlighting issues with traditional techniques like stepwise and univariate analyses and the need for improved practices.
Improving Variable Selection Methods in Epidemiological Research
This lecture discusses the importance of referencing when selecting variables, highlighting current practices and potential improvements in epidemiological variable selection methods.
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RT @tskstkw: @Pt96442837Pt 因果推論の文脈でということで、こんなreview論文がありました。 https://t.co/2dkcrWPFL3
view full postOctober 8, 2023
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Sotokawa-Tasuku-山形の運転リハ研究やってる人
@tskstkw (Twitter)@Pt96442837Pt 因果推論の文脈でということで、こんなreview論文がありました。 https://t.co/2dkcrWPFL3
view full postOctober 8, 2023
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Makoto Kaneko
@makoto_knk (Twitter)RT @Yosuke_INOUE: 分野のお作法として単変量→多変量が使われている場合もあるけど、単変量で有意だったものだけをモデルに入れることは私はおすすめしていません。 4大疫学ジャーナルでの変数選択についてレビューしたこの論文は参考になるかも。 https://t.co…
view full postJune 5, 2020
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井上陽介
@Yosuke_INOUE (Twitter)分野のお作法として単変量→多変量が使われている場合もあるけど、単変量で有意だったものだけをモデルに入れることは私はおすすめしていません。 4大疫学ジャーナルでの変数選択についてレビューしたこの論文は参考になるかも。 https://t.co/vCN68lSeUW https://t.co/1Im3UUzsHH
view full postJune 4, 2020
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Kazuki Yoshida
@kaz_yos (Twitter)A descriptive review of variable selection methods in four epidemiologic journals: there is still room for improvement. https://t.co/dhavP2uV5x
view full postJuly 5, 2019
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Matej Vinko
@matejjetam (Twitter)A descriptive review of variable selection methods in four epidemiologic journals: there is still room for improvement https://t.co/8LNbuOQ7ME
view full postJune 4, 2019
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Adriana
@Adrianapordios (Twitter)RT @GlobalPHObserv: A descriptive review of variable selection methods in four epidemiologic journals #GPHO https://t.co/zdG33Ml4Io
view full postJune 3, 2019
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Global Health Observ
@GlobalPHObserv (Twitter)A descriptive review of variable selection methods in four epidemiologic journals #GPHO https://t.co/zdG33Ml4Io
view full postJune 3, 2019
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epibot
@epi_twit (Twitter)RT @DrVishalBhavsar: This is an overview of variable selection strategies in four #epidemiology journals #epitwitter : https://t.co/qCrdspW…
view full postJune 3, 2019
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Vishal Bhavsar PhD
@DrVishalBhavsar (Twitter)This is an overview of variable selection strategies in four #epidemiology journals #epitwitter : https://t.co/qCrdspW40R
view full postJune 3, 2019
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Abstract Synopsis
- The review analyzed epidemiological studies from 2015 and found that many still used variable selection methods like stepwise and univariate analyses, which can introduce bias and lead to poor conclusions.
- Although new methods like using prior knowledge or causal diagrams are being employed, they remain less common, and many studies lacked enough detail to fully understand their variable selection process.
- Overall, the study suggests that there is still significant room for improvement in both the methods and reporting practices of variable selection in epidemiological research.]
Ko
@ko93832294 (Twitter)