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UID:pretalx-sips2026-online-T8MS8X@pretalx.com
DTSTART;TZID=EST:20260506T140000
DTEND;TZID=EST:20260506T140500
DESCRIPTION:Meta-analyses are often considered the highest level of evidenc
 e\, yet they remain highly sensitive to researcher degrees of freedom in s
 tudy selection\, outcome operationalization\, and model specification. Whi
 le Multiverse Analysis increases transparency by mapping analytic variabil
 ity\, most implementations remain descriptive and lack formal inferential 
 control.\n\nThis project advances an inferential framework for Multiverse 
 Meta-Analysis by integrating structured expert elicitation with Post-Selec
 tion Inference for Multiverse Analysis\, a permutation-based approach that
  controls the Family-Wise Error Rate across correlated analytic pathways u
 sing max-t adjustment. Decision nodes will be identified from prior litera
 ture and expert input\, synthesized into a validated multiverse\, and exec
 uted under valid post-selection inference.\n\nAs a demonstration case\, th
 e framework will be applied to meta-analyses of Eye Movement Desensitizati
 on and Reprocessing (EMDR) therapy for Post-Traumatic Stress Disorder (PTS
 D)\, a guideline-recommended intervention with conflicting conclusions.
DTSTAMP:20260617T083108Z
LOCATION:Track 1
SUMMARY:oLT5: Beyond Descriptive Multiverses: Post-Selection Inference for 
 Multiverse Meta-Analysis - Matteo Manente
URL:https://pretalx.com/sips2026-online/talk/T8MS8X/
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