Curtiss Cobb

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 et al. · arXiv (Cornell University) · 2020 · 62 citations · Full text

Engineering, Carnegie Mellon University, Sampling Technique +20

Calibrating Non-Probability Internet Samples with Probability Samples Using Early Adopter Characteristics

Charles DiSogra, Curtiss Cobb, Elisa Chan et al. · 2011 · 39 citations

Quantitative Management, Non-probability Internet Samples, Poststratification Weighting +15

Can Marketing Data Aid Survey Research? Examining Accuracy and Completeness in Consumer-File Data

Josh Pasek, S. Mo Jones-Jang, Curtiss Cobb et al. · Public Opinion Quarterly · 2014 · 26 citations

Marketing Analytics, Customer Satisfaction, Engineering +19

Using an Online Sample to Estimate the Size of an Offline Population

Dennis M. Feehan, Curtiss Cobb · Demography · 2019 · 25 citations · Full text

Engineering, Internet Science, Online Experiment +25

Global trends and predictors of face mask usage during the COVID-19 pandemic

Elena Badillo‐Goicoechea, Ting‐Hsuan Chang, Esther Kim et al. · BMC Public Health · 2021 · 20 citations · Full text