Problems in the Estimation of the Key Parameters using MLE in Lung Cancer Screening.
August 2020 J Clin Res RepSynopsis of Social media discussions
The overall discussions reflect a lack of focused engagement or strong stance, with some posts perhaps referencing broader geopolitical topics like World War III, which distract from the article's scientific content. Words and tone imply a superficial or tangential interest rather than deep analysis or concern about the research findings.
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Neither agree nor disagreeThe posts do not strongly support or oppose the publication, suggesting mixed or neutral opinions.
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Commentary | DOI: https://t.co/oZ3pdeDotG Has World War III begun? Michael Gurevitz * https://t.co/zYb94QKZrt
view full postJuly 17, 2024
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Eko Noguchi
@Eko_Noguchi (Twitter)Commentary | DOI: https://t.co/oZ3pdeDotG Has World War III begun? Michael Gurevitz * https://t.co/zYb94QKZrt
view full postJuly 17, 2024
Abstract Synopsis
- The text discusses difficulties in accurately estimating important parameters when using Maximum Likelihood Estimation (MLE) in lung cancer screening studies.
- It highlights specific issues related to data quality and model assumptions that can lead to biased or unreliable parameter estimates.
- The article suggests that these estimation problems can impact the effectiveness of screening strategies and emphasizes the need for improved statistical methods.]
Ekō Noguchi(社会福祉士・精神保健福祉士・僧侶:野口惠弘)
@The_Air_Base (Twitter)