BMC Med Res Methodol June 2023 PMID 37316785

Use of days alive without life support and similar count outcomes in randomised clinical trials - an overview and comparison of methodological choices and analysis methods.

Anders Granholm, Benjamin Skov Kaas-Hansen, Theis Lange, Marie Warrer Munch, Michael O Harhay, Fernando G Zampieri, Anders Perner, Morten Hylander Møller, Aksel Karl Georg Jensen

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Peak: 13 in Jun 2023

across 2 sources since Jun 2023

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80,439

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Jun 2023 – Jul 2025

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YouTube1 videos

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What people are saying

Participants express interest in the article’s focus on DAWOLS and methodological options, referencing specific points like the validity of simple linear models even with non-normal distributions, and shared plans for further assessments. The tone blends technical curiosity with professional engagement, demonstrating a thoughtful exploration of the article's contributions to critical care research.

AgreementModerate agreement

Most discussions acknowledge the importance of the article and agree on its relevance to critical care research, highlighting methods and outcomes discussed.

InterestModerate interest

Participants show moderate interest, focusing on methodological details and ongoing assessments, indicating engagement but not obsession.

EngagementModerate engagement

Comments reference specific analysis techniques and future plans, demonstrating active participation and thoughtful considerations.

ImpactModerate impact

The discussions suggest that the article influences current research directions and methodological debates, indicating a notable impact.

Abstract in brief

The article focuses on "Days Alive Without Life Support" (DAWOLS), an increasingly popular measure in critical care research that combines mortality and non-mortality outcomes, but faces challenges due to different definitions and complex data distributions.
The authors review various statistical analysis methods, from simple regression models to more complex ones like zero-inflated beta or hurdle models, highlighting that simpler models are easier to interpret but less precise, while complex models fit data better but are harder to specify and interpret.
They also emphasize the importance of visualization techniques to better understand and interpret DAWOLS data, providing guidance for researchers to select the most appropriate methods for their studies.]

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Analyzing Days Alive Without Life Support in Clinical Trials

This video explores the use of days alive without life support (DAWOLS) as a critical measure in critical care research, comparing various statistical methods and emphasizing visualization techniques for better data…

Medicine RTCL TV · Oct 4, 2023 8 views

Adil Rashid MD

@adil_rashidk · X

RT @Michael_Harhay: @adil_rashidk @ATSBlueEditor @f_g_zampieri @FanLi90 @nualameyer Have you seen this one? https://t.co/0UWHU6OmgK We are…

Jul 3, 2025 · 1 share · 1,461 followers View post →

Michael Harhay

@Michael_Harhay · X

@adil_rashidk @ATSBlueEditor @f_g_zampieri @FanLi90 @nualameyer Have you seen this one? https://t.co/0UWHU6OmgK We are working on a fuller assessment for hospital-free days. Hoping to preprint in the fall. I can share that when it's more advanced.

Jul 3, 2025 · 1 share · 1,548 followers View post →

Dale Needham, MD, PhD

@DrDaleNeedham · X

RT @f_g_zampieri: Interestingly, if your estimand is the difference in DAF between groups, simple linear models can provide valid estimates…

Jun 18, 2024 · 1 share · 11,585 followers View post →

Fernando Zampieri

@f_g_zampieri · X

Jun 18, 2024 · 4 likes · 1 share · 4,558 followers View post →

Dale Needham, MD, PhD

@DrDaleNeedham · X