-
2
-
-
0030539070
-
Multiple imputation after 18+ years
-
Rubin DB,. Multiple imputation after 18+ years. J Am Stat Assoc 1996; 91: 473-489.
-
(1996)
J Am Stat Assoc
, vol.91
, pp. 473-489
-
-
Rubin, D.B.1
-
3
-
-
84972537494
-
Multiple-imputation inferences with uncongenial sources of input
-
Meng XL,. Multiple-imputation inferences with uncongenial sources of input. Stat Sci 1994; 9: 538-573.
-
(1994)
Stat Sci
, vol.9
, pp. 538-573
-
-
Meng, X.L.1
-
4
-
-
0030557655
-
Alternative paradigms for the analysis of imputed survey data
-
Fay RE,. Alternative paradigms for the analysis of imputed survey data. J Am Stat Assoc 1996; 91: 490-498.
-
(1996)
J Am Stat Assoc
, vol.91
, pp. 490-498
-
-
Fay, R.E.1
-
5
-
-
0000555875
-
Inference for imputation estimators
-
Robins JM, Wang N,. Inference for imputation estimators. Biometrika 2000; 87: 113-124.
-
(2000)
Biometrika
, vol.87
, pp. 113-124
-
-
Robins, J.M.1
Wang, N.2
-
6
-
-
0345659236
-
Proper and improper multiple imputation
-
Nielsen SF,. Proper and improper multiple imputation. Int Stat Rev 2003; 71: 593-627.
-
(2003)
Int Stat Rev
, vol.71
, pp. 593-627
-
-
Nielsen, S.F.1
-
7
-
-
28444485368
-
Multiple imputation in multivariate problems when the imputation and analysis models differ
-
Schafer JL,. Multiple imputation in multivariate problems when the imputation and analysis models differ. Stat Neerlandica 2003; 57: 19-35.
-
(2003)
Stat Neerlandica
, vol.57
, pp. 19-35
-
-
Schafer, J.L.1
-
8
-
-
21344497888
-
Missing data, imputation, and the bootstrap
-
Efron B,. Missing data, imputation, and the bootstrap. J Am Stat Assoc 1994; 89: 463-475.
-
(1994)
J Am Stat Assoc
, vol.89
, pp. 463-475
-
-
Efron, B.1
-
9
-
-
0030336376
-
Bootstrap for imputed survey data
-
Shao J, Sitter RR,. Bootstrap for imputed survey data. J Am Stat Assoc 1996; 91: 1278-1288.
-
(1996)
J Am Stat Assoc
, vol.91
, pp. 1278-1288
-
-
Shao, J.1
Sitter, R.R.2
-
11
-
-
57249098827
-
Multiple imputation when records used for imputation are not used or disseminated for analysis
-
Reiter JP,. Multiple imputation when records used for imputation are not used or disseminated for analysis. Biometrika 2008; 95: 933-946.
-
(2008)
Biometrika
, vol.95
, pp. 933-946
-
-
Reiter, J.P.1
-
12
-
-
0030793982
-
The strengths and difficulties questionnaire: A research note
-
Goodman R,. The strengths and difficulties questionnaire: a research note. J Child Psychol Psychiat 1997; 38: 581-586.
-
(1997)
J Child Psychol Psychiat
, vol.38
, pp. 581-586
-
-
Goodman, R.1
-
13
-
-
0028080476
-
A modified version of the rutter parent questionnaire including extra items on children's strengths: A research note
-
Goodman R,. A modified version of the rutter parent questionnaire including extra items on children's strengths: a research note. J Child Psychol Psychiat 1994; 35: 1483-1494.
-
(1994)
J Child Psychol Psychiat
, vol.35
, pp. 1483-1494
-
-
Goodman, R.1
-
15
-
-
2442736478
-
Small-sample degrees of freedom with multiple imputation
-
Barnard J, Rubin DB,. Small-sample degrees of freedom with multiple imputation. Biometrika 1999; 86: 948-955.
-
(1999)
Biometrika
, vol.86
, pp. 948-955
-
-
Barnard, J.1
Rubin, D.B.2
-
17
-
-
0000095552
-
A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity
-
White H,. A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometricia 1980; 48: 817-830.
-
(1980)
Econometricia
, vol.48
, pp. 817-830
-
-
White, H.1
-
19
-
-
0017133178
-
Inference and missing data (with discussion)
-
Rubin DB,. Inference and missing data (with discussion). Biometrika 1976; 63: 581-592.
-
(1976)
Biometrika
, vol.63
, pp. 581-592
-
-
Rubin, D.B.1
-
21
-
-
35148896263
-
Birth weight; Postnatal, infant, and childhood growth; And obesity in young adulthood: Evidence from the Barry Caerphilly growth study
-
McCarthy A, Hughes R, Tilling K, et al. Birth weight; postnatal, infant, and childhood growth; and obesity in young adulthood: evidence from the Barry Caerphilly growth study. Am J Clin Nutr 2007; 86: 907-913.
-
(2007)
Am J Clin Nutr
, vol.86
, pp. 907-913
-
-
McCarthy, A.1
Hughes, R.2
Tilling, K.3
-
22
-
-
84865832802
-
On the performance of sequential regression multiple imputation methods with non normal error distributions
-
He Y, Raghunathan TE,. On the performance of sequential regression multiple imputation methods with non normal error distributions. Commun Stat Simul Comput 2009; 38: 856-883.
-
(2009)
Commun Stat Simul Comput
, vol.38
, pp. 856-883
-
-
He, Y.1
Raghunathan, T.E.2
-
23
-
-
77955271783
-
Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables
-
White IR, Daniel R, Royston P,. Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables. Comput Stat Data Anal 2010; 54: 2267-2275.
-
(2010)
Comput Stat Data Anal
, vol.54
, pp. 2267-2275
-
-
White, I.R.1
Daniel, R.2
Royston, P.3
-
24
-
-
33646696129
-
On the bias of the multiple-imputation variance estimator in survey sampling
-
Kim JK, Brick JM, Fuller WA, et al. On the bias of the multiple-imputation variance estimator in survey sampling. J R Stat Soc Ser B 2006; 68: 509-521.
-
(2006)
J R Stat Soc ser B
, vol.68
, pp. 509-521
-
-
Kim, J.K.1
Brick, J.M.2
Fuller, W.A.3
-
25
-
-
38349075009
-
The multiple adaptations of multiple imputation
-
Reiter JP, Raghunathan TE,. The multiple adaptations of multiple imputation. J Am Statist Assoc 2007; 102: 1462-1471.
-
(2007)
J Am Statist Assoc
, vol.102
, pp. 1462-1471
-
-
Reiter, J.P.1
Raghunathan, T.E.2
-
27
-
-
68249114452
-
Multiple imputation for missing data in epidemiology and clinical research: Potential and pitfalls
-
Sterne JAC, White IR, Carlin JB, et al. Multiple imputation for missing data in epidemiology and clinical research: potential and pitfalls. Br Med J 2009; 339: 157-160.
-
(2009)
Br Med J
, vol.339
, pp. 157-160
-
-
Sterne, J.A.C.1
White, I.R.2
Carlin, J.B.3
|