2 citations · 2 across the 3 of their papers we have counts for
4 papers
A General Framework for Regression with Mismatched Data Based on Mixture Modeling
Martin Slawski, Brady T. West, Priyanjali Bukke +3
Data sets obtained from linking multiple files are frequently affected by mismatch error, as a result of non-unique or noisy identifiers used during record linkage. Accounting for…
Robust Bayesian Inference for Big Data: Combining Sensor-based Records with Traditional Survey Data
Ali Rafei, Carol A. C. Flannagan, Brady T. West +1
Big Data often presents as massive non-probability samples. Not only is the selection mechanism often unknown, but larger data volume amplifies the relative contribution of selecti…
Assessing Selection Bias in Regression Coefficients Estimated from Non-Probability Samples, with Applications to Genetics and Demographic Surveys
Brady T. West, Roderick J. A. Little, Rebecca R. Andridge +4
Selection bias is a serious potential problem for inference about relationships of scientific interest based on samples without well-defined probability sampling mechanisms. Motiva…
Deriving Priors for Bayesian Prediction of Daily Response Propensity in Responsive Survey Design: Historical Data Analysis vs. Literature Review
Brady T. West, James Wagner, Stephanie Coffey +1
Responsive Survey Design (RSD) aims to increase the efficiency of survey data collection via live monitoring of paradata and the introduction of protocol changes when survey errors…