Semi-parametric regression when some (expensive) covariates are missing by design
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s00362-019-01152-5.pdf
Reference46 articles.
1. Anderson TW (1957) Maximum likelihood estimates for a multivariate normal distribution when some observations are missing. J Am Stat Assoc 52(278):200–203
2. Boor CD (1972) On calculating with B-splines. J Approx Theory 6(1):50–62
3. Carpenter JR, Kenward M (2013) Multiple imputation and its applications, 1st edn. Wiley, Chichester
4. Deville JC, Tille Y (1998) Unequal probability sampling without replacement through a splitting method. Biometrika 85(1):89–101
5. Donders ART, van der Heijden GJMG, Stijnen T, Moons KGM (2006) Review: a gentle introduction to imputation of missing values. J Clin Epidemiol 59(10):1087–1091
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