Comparing multiple imputation methods for systematically missing subject-level data

2015 ◽  
Vol 8 (2) ◽  
pp. 136-148 ◽  
Author(s):  
David Kline ◽  
Rebecca Andridge ◽  
Eloise Kaizar
Author(s):  
John Barnard ◽  
Donald B. Rubin ◽  
Nathaniel Schenker

2003 ◽  
Vol 57 (1) ◽  
pp. 36-45 ◽  
Author(s):  
Jaap P.L. Brand ◽  
Stef Buuren ◽  
Karin Groothuis-Oudshoorn ◽  
Edzard S. Gelsema

2014 ◽  
Vol 43 (3) ◽  
pp. 451-470
Author(s):  
Michael W. Robbins ◽  
T. Kirk White

Research using the Agricultural Resource Management Survey (ARMS) and other data shows that direct government payments to farmers increase rents and the price of land. However, some ARMS data is imputed and does not account for relationships between payments and other variables. We investigate various imputation methods and benefits gained from a method with a wide scope rather than a parsimonious range of variables. Using our method, we estimate that an additional dollar of direct payment increases land value about $2.69 more per acre than ARMS imputation methods and that our imputations (using an exhaustive iterative sequential regression) outperform other methods and/or smaller models.


2011 ◽  
Vol 53 (6) ◽  
pp. 974-993 ◽  
Author(s):  
Minjung Lee ◽  
Kathleen A. Cronin ◽  
Mitchell H. Gail ◽  
James J. Dignam ◽  
Eric J. Feuer

2014 ◽  
Vol 134 ◽  
pp. 23-33 ◽  
Author(s):  
M.P. Gómez-Carracedo ◽  
J.M. Andrade ◽  
P. López-Mahía ◽  
S. Muniategui ◽  
D. Prada

2017 ◽  
Vol 10 (19) ◽  
pp. 1-7 ◽  
Author(s):  
Geeta Chhabra ◽  
Vasudha Vashisht ◽  
Jayanthi Ranjan ◽  
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