Richard Valliant

Affiliations: 
Survey Methodology University of Maryland, College Park, College Park, MD 
Area:
Statistics
Google:
"Richard Valliant"
BETA: Related publications

Publications

You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

Wang L, Valliant R, Li Y. (2021) Adjusted logistic propensity weighting methods for population inference using nonprobability volunteer-based epidemiologic cohorts. Statistics in Medicine
Reist BM, Valliant R. (2020) Model-assisted estimators for time-to-event data from complex surveys. Statistics in Medicine
Han D, Valliant R. (2020) Effects Of Outcome And Response Models On Single-Step Calibration Estimators Journal of Survey Statistics and Methodology
Valliant R. (2020) Comparing Alternatives for Estimation from Nonprobability Samples Journal of Survey Statistics and Methodology. 8: 231-263
Chen JKT, Valliant RL, Elliott MR. (2018) Calibrating non‐probability surveys to estimated control totals using LASSO, with an application to political polling Journal of the Royal Statistical Society: Series C (Applied Statistics). 68: 657-681
Lee S, Suzer-Gurtekin T, Wagner J, et al. (2017) Total Survey Error and Respondent Driven Sampling: Focus on Nonresponse and Measurement Errors in the Recruitment Process and the Network Size Reports and Implications for Inferences Journal of Official Statistics. 33: 335-366
Elliott MR, Valliant R. (2017) Inference for Nonprobability Samples Statistical Science. 32: 249-264
Dever JA, Valliant R. (2016) General Regression Estimation Adjusted for Undercoverage and Estimated Control Totals Journal of Survey Statistics and Methodology. 4: 289-318
Valliant R, Dever JA, Kreuter F. (2015) PracTools: Computations for Design of Finite Population Samples R Journal. 7: 163-176
Valliant R, Dever JA, Kreuter F. (2015) Effects of cluster sizes on variance components in two-stage sampling Journal of Official Statistics. 31: 763-782
See more...