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researcher

Sube Banerjee

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
  • eess.AS1
  • stat.ME1

identity via Semantic Scholar / OpenAlex

most citedLinear mixed models to handle missing at random data in trial-based economic evaluations

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ME2022★ 1 cited

Linear mixed models to handle missing at random data in trial-based economic evaluations

Andrea Gabrio, Catrin Plumpton, Sube Banerjee +1

Trial-based cost-effectiveness analyses (CEAs) are an important source of evidence in the assessment of health interventions. In these studies, cost and effectiveness outcomes are…

eess.AS2021

Artificially Synthesising Data for Audio Classification and Segmentation to Improve Speech and Music Detection in Radio Broadcast

Satvik Venkatesh, David Moffat, Alexis Kirke +8

Segmenting audio into homogeneous sections such as music and speech helps us understand the content of audio. It is useful as a pre-processing step to index, store, and modify audi…

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