6 citations · 6 across the 2 of their papers we have counts for
2 papers
stat.ME2020
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…
stat.AP2014★ 6 cited
Bayesian shrinkage methods for partially observed data with many predictors
Philip S. Boonstra, Bhramar Mukherjee, Jeremy M. G. Taylor
Motivated by the increasing use of and rapid changes in array technologies, we consider the prediction problem of fitting a linear regression relating a continuous outcome to a…