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researcher

A. Berglind

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • stat.ME2

identity via Semantic Scholar / OpenAlex

most citedEmploying latent variable models to improve efficiency in composite endpoint analysis

8 citations · 8 across the 1 of their papers we have counts for

collaborators

2 papers

stat.ME2019

Sample Size Estimation using a Latent Variable Model for Mixed Outcome Co-Primary, Multiple Primary and Composite Endpoints

Martina McMenamin, Jessica K. Barrett, Anna Berglind +1

Mixed outcome endpoints that combine multiple continuous and discrete components to form co-primary, multiple primary or composite endpoints are often employed as primary outcome m…

stat.ME2019★ 8 cited

Employing latent variable models to improve efficiency in composite endpoint analysis

Martina McMenamin, Jessica K. Barrett, Anna Berglind +1

Composite endpoints that combine multiple outcomes on different scales are common in clinical trials, particularly in chronic conditions. In many of these cases, patients will have…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.