Amanote Research
Register
Sign In
Multiple Imputation Methodology for Missing Data, Non-Random Response, and Panel Attrition
doi 10.1016/b978-008043062-1/50019-1
Full Text
Open PDF
Abstract
Available in
full text
Date
January 1, 1998
Authors
David Brownstone
Publisher
Elsevier
Related search
Multiple Imputation of Binary Multilevel Missing Not at Random Data
Journal of the Royal Statistical Society. Series C: Applied Statistics
Uncertainty
Statistics
Probability
Clustering and Multiple Imputation of Missing Data
International Journal of Basic and Applied Sciences
Multiple Imputation Ensembles (MIE) for Dealing With Missing Data
SN Computer Science
Missing Data Imputation for Ordinal Data
International Journal of Computer Applications
Rm1 - Sensitivity Analysis for Not-At-Random Missing Data in Trial-Based Cost-Effectiveness Analysis Using Multiple Imputation
Value in Health
Medicine
Health Policy
Public Health
Occupational Health
Environmental
Weighted Multiple Imputation of Ethnicity Data That Are Missing Not at Random in Primary Care Databases
International Journal of Population Data Science
Imputation Methods for Quantile Estimation Under Missing at Random
Statistics and its Interface
Applied Mathematics
Statistics
Probability
Missing Data Imputation Method for Autism Prediction
International Journal of Recent Technology and Engineering
Engineering
Management of Technology
Innovation
Robust Regression Imputation for Analyzing Missing Data
