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Curtiss Cobb

3 papers here

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

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.AP2
  • cs.SI1

identity via Semantic Scholar / OpenAlex

most citedWeights and Methodology Brief for the COVID-19 Symptom Survey by University of Maryland and Carnegie Mellon University, in Partnership with Facebook

62 citations · 64 across the 3 of their papers we have counts for

collaborators

3 papers

cs.SI2020★ 62 cited

Weights and Methodology Brief for the COVID-19 Symptom Survey by University of Maryland and Carnegie Mellon University, in Partnership with Facebook

Neta Barkay, Curtiss Cobb, Roee Eilat +5

Facebook is partnering with academic institutions to support COVID-19 research. Currently, we are inviting Facebook app users in the United States to take a survey collected by fac…

stat.AP2019★ 1 cited

Using an online sample to learn about an offline population

Dennis M. Feehan, Curtiss Cobb

Online data sources offer tremendous promise to demography and other social sciences, but researchers worry that the group of people who are represented in online datasets can be d…

stat.AP2019★ 1 cited

Active Matrix Factorization for Surveys

Chelsea Zhang, Sean J. Taylor, Curtiss Cobb +1

Amid historically low response rates, survey researchers seek ways to reduce respondent burden while measuring desired concepts with precision. We propose to ask fewer questions of…

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