SCCM Resource Library-Unlock the Power of Subgroup Analyses in Clinical Trials

Video Transcription

Video Summary

In the webcast "Unlock the Power of Subgroup Analysis in Clinical Trials," Dr. Todd Amiano discusses the intricate role and challenges of subgroup analysis in clinical research. Subgroup analysis can provide insights into how treatments affect different patient populations, yet it carries a reputation for unreliability due to issues like multiple testing, high false-positive and false-negative risks, and underpowered analyses. Dr. Amiano emphasizes the importance of pre-specification, limited testing, and strong biological rationales for credible results. Proper subgroup analyses should be based on baseline characteristics to avoid selection bias and should employ appropriate statistical tests, such as interaction tests, to determine significance.<br /><br />The session also highlights more advanced approaches, such as prognostic and effect modeling, which provide fuller insights by examining the influence of multiple variables on treatment effects. These methods promise a more enriched understanding compared to traditional one-variable-at-a-time subgroup analyses.<br /><br />Finally, the webcast underscores the importance of robust methodologies and pre-trial planning in ensuring the reliability of subgroup analyses, advocating for these practices to guide clinical decision-making effectively.

Asset Subtitle

Research, 2024

Asset Caption

Gain insights into optimal timing and methods for conducting subgroup analyses based on solid statistical principles to ensure valid and applicable trial results during this webcast. Equip yourself with the knowledge to enhance your skills in clinical trial design, analysis, and interpretation to make better-informed treatment decisions for critically ill and injured patients. This essential learning is tailored for healthcare professionals and researchers.

Learning objectives
Discuss the importance of subgroup analyses in assessing treatment effects within diverse patient populations in large-scale trials involving critically ill patients
Identify when subgroup analyses should be prespecified and discuss the statistical principles that guide the appropriate number of such analyses
Explore various statistical methods used for evaluating heterogeneous treatment effects across different patient subgroups in clinical trials

Meta Tag

Content Type Webcast

Knowledge Area Research

Membership Level Professional

Membership Level Select

Tag Clinical Research Design

Year 2024

Keywords

Webcast

Research

Clinical Research Design

Professional

Select

2024

subgroup analysis

clinical trials

Dr. Todd Amiano

multiple testing

pre-specification

biological rationale

interaction tests

effect modeling

clinical decision-making

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