activity
20072022
most citedCalibrated Bayes, for Statistics in General, and Missing Data in Particular

79 citations · 109 across the 10 of their papers we have counts for

collaborators

10 papers

stat.ME2022

Nonresponse Bias Analysis in Longitudinal Studies: A Comparative Review with an Application to the Early Childhood Longitudinal Study

Yajuan Si, Roderick Little, Ya Mo +1

Longitudinal studies are subject to nonresponse when individuals fail to provide data for entire waves or particular questions of the survey. We compare approaches to nonresponse b…

stat.AP2021

Accounting for survey design in Bayesian disaggregation of survey-based areal estimates of proportions: an application to the American Community Survey

Marco H. Benedetti, Veronica J. Berrocal, Roderick J. Little

Understanding the effects of social determinants of health on health outcomes requires data on characteristics of the neighborhoods in which subjects live. However, estimates of th…

stat.ME2021

A Case Study of Nonresponse Bias Analysis In Educational Assessment Surveys

Yajuan Si, Roderick J. A. Little, Ya Mo +1

Nonresponse bias is a widely prevalent problem for data on education. We develop a ten-step exemplar to guide nonresponse bias analysis (NRBA) in cross-sectional studies and apply…

stat.ME2020

Multiple Imputation with Massive Data: An Application to the Panel Study of Income Dynamics

Yajuan Si, Steve Heeringa, David Johnson +4

\Multiple imputation (MI) is a popular and well-established method for handling missing data in multivariate data sets, but its practicality for use in massive and complex data set…

stat.ME2020

Framework for the Treatment And Reporting of Missing data in Observational Studies: The TARMOS framework

Katherine J Lee, Kate Tilling, Rosie P Cornish +5

Missing data are ubiquitous in medical research. Although there is increasing guidance on how to handle missing data, practice is changing slowly and misapprehensions abound, parti…

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…