-
1
-
-
43449100377
-
Diagnostics for multivariate imputations
-
DOI: 10.1111/j.1467-9876.2007.00613.x
-
Abayomi K., Gelman A., Levy, M. (2008) Diagnostics for multivariate imputations. Journal of the Royal Statistical Society: Series C (Applied Statistics), 57, 273-291, DOI: 10.1111/j.1467-9876.2007.00613.x
-
(2008)
Journal of the Royal Statistical Society: Series C (Applied Statistics)
, vol.57
, pp. 273-291
-
-
Abayomi, K.1
Gelman, A.2
Levy, M.3
-
2
-
-
35649011462
-
Incomplete hierarchical data
-
DOI: 10.1177/0962280206075310
-
Beunckens C., Molenberghs G., Thijs H., Verbeke G. (2007) Incomplete hierarchical data. Statistical Methods in Medical Research, 16, 457-492, DOI: 10.1177/0962280206075310
-
(2007)
Statistical Methods in Medical Research
, vol.16
, pp. 457-492
-
-
Beunckens, C.1
Molenberghs, G.2
Thijs, H.3
Verbeke, G.4
-
3
-
-
79951970233
-
-
Development, implementation and evaluation of multiple imputation strategies for the statistical analysis of incomplete data sets, unpublished, Erasmus University, Rotterdam.
-
Brand J.P.L. (1999) Development, implementation and evaluation of multiple imputation strategies for the statistical analysis of incomplete data sets, unpublished, Erasmus University, Rotterdam.
-
(1999)
-
-
Brand, J.P.L.1
-
4
-
-
0035755636
-
A comparison of inclusive and restrictive strategies in modern missing data procedures
-
DOI: 10.1037/1082-989X.6.4.330
-
Collins L.M., Schafer J.L., Kam C.M. (2001) A comparison of inclusive and restrictive strategies in modern missing data procedures. Psychological Methods, 6, 330-351, DOI: 10.1037/1082-989X.6.4.330
-
(2001)
Psychological Methods
, vol.6
, pp. 330-351
-
-
Collins, L.M.1
Schafer, J.L.2
Kam, C.M.3
-
5
-
-
50849114507
-
An imputation strategy for incomplete longitudinal ordinal data
-
DOI: 10.1002/sim.3239
-
Demeritas H., Hedeker D. (2008) An imputation strategy for incomplete longitudinal ordinal data. Statistics in Medicine, 27, 4086-4093, DOI: 10.1002/sim.3239
-
(2008)
Statistics in Medicine
, vol.27
, pp. 4086-4093
-
-
Demeritas, H.1
Hedeker, D.2
-
6
-
-
79951972169
-
-
mi: Missing Data Imputation and Model Checking. Package for the R statistical software. [27 January 2011]
-
Gelman A., Hill J., Yajima M., Su Y., Pittau M. (2011) mi: Missing Data Imputation and Model Checking. Package for the R statistical software. [27 January 2011]
-
(2011)
-
-
Gelman, A.1
Hill, J.2
Yajima, M.3
Su, Y.4
Pittau, M.5
-
7
-
-
0347249765
-
Adding missing-data relevant variables to FIML-based structural equation models
-
DOI: 10.1207/S15328007SEM1001-4
-
Graham J.W. (2003) Adding missing-data relevant variables to FIML-based structural equation models. Structural Equation Modeling, 10, 80-100, DOI: 10.1207/S15328007SEM1001-4
-
(2003)
Structural Equation Modeling
, vol.10
, pp. 80-100
-
-
Graham, J.W.1
-
8
-
-
60549085055
-
Missing data analysis: making it work in the real world
-
DOI: 10.1146/annurev.psych.58.110405.085530
-
Graham J.W. (2009) Missing data analysis: making it work in the real world. Annual Review of Psychology, 60, 549-576, DOI: 10.1146/annurev.psych.58.110405.085530
-
(2009)
Annual Review of Psychology
, vol.60
, pp. 549-576
-
-
Graham, J.W.1
-
9
-
-
34548451124
-
How many imputations are really needed? Some practical clarifications of multiple imputation theory
-
DOI: 10.1007/s11121-007-0070-9
-
Graham J.W., Olchowski A.E., Gilreath T.D. (2007) How many imputations are really needed? Some practical clarifications of multiple imputation theory. Prevention Science, 8, 206-213, DOI: 10.1007/s11121-007-0070-9
-
(2007)
Prevention Science
, vol.8
, pp. 206-213
-
-
Graham, J.W.1
Olchowski, A.E.2
Gilreath, T.D.3
-
10
-
-
0029584587
-
A critical look at methods for handling missing covariates in epidemiologic regression analyses
-
Greenland S., Finkle W.D. (1995) A critical look at methods for handling missing covariates in epidemiologic regression analyses. American Journal of Epidemiology, 142, 1255-1264.
-
(1995)
American Journal of Epidemiology
, vol.142
, pp. 1255-1264
-
-
Greenland, S.1
Finkle, W.D.2
-
11
-
-
34250686456
-
Multiple imputation: review of theory, implementation and software
-
DOI: 10.1002/sim.2787
-
Harel O., Zhou X.H. (2007) Multiple imputation: review of theory, implementation and software. Statistics in Medicine, 26, 3057-3077, DOI: 10.1002/sim.2787
-
(2007)
Statistics in Medicine
, vol.26
, pp. 3057-3077
-
-
Harel, O.1
Zhou, X.H.2
-
12
-
-
78649571080
-
Multiple imputation in a large-scale complex survey: a practical guide
-
DOI: 10.1177/0962280208101273
-
He Y., Zaslavsky A.M., Landrum M.B., Harrington D.P., Catalano P. (2009) Multiple imputation in a large-scale complex survey: a practical guide. Statistical Methods in Medical Research, 1-18, DOI: 10.1177/0962280208101273
-
(2009)
Statistical Methods in Medical Research
, pp. 1-18
-
-
He, Y.1
Zaslavsky, A.M.2
Landrum, M.B.3
Harrington, D.P.4
Catalano, P.5
-
13
-
-
33846873244
-
Much ado about nothing: a comparison of missing data methods and software to fit incomplete data regression models
-
DOI: 10.1198/000313007X172556
-
Horton N.J., Kleinman K.P. (2007) Much ado about nothing: a comparison of missing data methods and software to fit incomplete data regression models. The American Statistician, 61, 79-90, DOI: 10.1198/000313007X172556
-
(2007)
The American Statistician
, vol.61
, pp. 79-90
-
-
Horton, N.J.1
Kleinman, K.P.2
-
14
-
-
33947255001
-
WinMICE User's Manual for WinMICE Prototype Version 0.1
-
The Hague, TNO Quality of Life.
-
Jacobusse G. (2005) WinMICE User's Manual for WinMICE Prototype Version 0.1, The Hague, TNO Quality of Life.
-
(2005)
-
-
Jacobusse, G.1
-
15
-
-
77249147857
-
Multiple imputation for missing data: fully conditional specification versus multivariate normal imputation
-
DOI: 10.1093/aje/kwp425
-
Lee K.J., Carlin J.B. (2010) Multiple imputation for missing data: fully conditional specification versus multivariate normal imputation. American Journal of Epidemiology, 171, 624-632, DOI: 10.1093/aje/kwp425
-
(2010)
American Journal of Epidemiology
, vol.171
, pp. 624-632
-
-
Lee, K.J.1
Carlin, J.B.2
-
16
-
-
33745439779
-
An analysis of incomplete longitudinal binary data using multiple imputation
-
DOI: 10.1002/sim.2343
-
Li X., Mehrotra D.V., Barnard J. (2006) An analysis of incomplete longitudinal binary data using multiple imputation. Statistics in Medicine, 25, 2107-2124, DOI: 10.1002/sim.2343
-
(2006)
Statistics in Medicine
, vol.25
, pp. 2107-2124
-
-
Li, X.1
Mehrotra, D.V.2
Barnard, J.3
-
17
-
-
79951986521
-
-
Mitools: tools for multiple imputation of missing data. Package for the R statistical software package. [14 May 2008].
-
Lumley T. (2008) Mitools: tools for multiple imputation of missing data. Package for the R statistical software package. [14 May 2008].
-
(2008)
-
-
Lumley, T.1
-
18
-
-
84937383499
-
Overview of the national evaluation of the comprehensive community mental health services for children and their families program
-
DOI: 10.1207/S15326918CS0501-2
-
Manteuffel B., Stephens R., Santiago R. (2002) Overview of the national evaluation of the comprehensive community mental health services for children and their families program. Children's Services: Social Policy, Research, and Practice, 5, 3-20, DOI: 10.1207/S15326918CS0501-2
-
(2002)
Children's Services: Social Policy, Research, and Practice
, vol.5
, pp. 3-20
-
-
Manteuffel, B.1
Stephens, R.2
Santiago, R.3
-
19
-
-
33748709502
-
Using the outcome for imputation of missing predictor values was preferred
-
DOI: 10.1016/j.jclinepi.2006.01.009
-
Moons K.G.M., Donders R.A.R.T., Stijnen T., Harrell F.E. (2006) Using the outcome for imputation of missing predictor values was preferred. Journal of Clinical Epidemiology, 59, 1092-1101, DOI: 10.1016/j.jclinepi.2006.01.009
-
(2006)
Journal of Clinical Epidemiology
, vol.59
, pp. 1092-1101
-
-
Moons, K.G.M.1
Donders, R.A.R.T.2
Stijnen, T.3
Harrell, F.E.4
-
20
-
-
0003753978
-
Mplus User's Guide
-
1998-2007), 4th edition, Los Angeles, CA, Muthen & Muthen.
-
Muthen L.K., Muthen B.O. (1998-2007) Mplus User's Guide, 4th edition, Los Angeles, CA, Muthen & Muthen.
-
-
-
Muthen, L.K.1
Muthen, B.O.2
-
21
-
-
72849117782
-
Missing values in longitudinal dietary data: a multiple imputation approach based on a fully conditional specification
-
DOI: 10.1002/sim.3731
-
Nevalainen J., Kenward M.G., Virtanen S.M. (2009) Missing values in longitudinal dietary data: a multiple imputation approach based on a fully conditional specification. Statistics in Medicine, 28, 3657-3669, DOI: 10.1002/sim.3731
-
(2009)
Statistics in Medicine
, vol.28
, pp. 3657-3669
-
-
Nevalainen, J.1
Kenward, M.G.2
Virtanen, S.M.3
-
22
-
-
5344244656
-
R: A Language and Environment for Statistical Computing
-
R Development Core Team, Vienna, R Foundation for Statistical Computing.
-
R Development Core Team (2008) R: A Language and Environment for Statistical Computing, Vienna, R Foundation for Statistical Computing.
-
(2008)
-
-
-
23
-
-
0002344593
-
A multivariate technique for multiply imputing missing values using a sequence of regression models
-
Raghunathan T.W., Lepkowksi J.M., Van Hoewyk J., Solenbeger P. (2001) A multivariate technique for multiply imputing missing values using a sequence of regression models. Survey Methodology, 27, 85-95.
-
(2001)
Survey Methodology
, vol.27
, pp. 85-95
-
-
Raghunathan, T.W.1
Lepkowksi, J.M.2
Van Hoewyk, J.3
Solenbeger, P.4
-
24
-
-
0004317657
-
IVEware: Imputation and Variance Estimation Software User Guide
-
Ann Arbor, MI, University of Michigan. [19 May 2008].
-
Raghunathan T.E., Solenberger P.W., Van Hoewyk J. (2002) IVEware: Imputation and Variance Estimation Software User Guide, Ann Arbor, MI, University of Michigan. [19 May 2008].
-
(2002)
-
-
Raghunathan, T.E.1
Solenberger, P.W.2
Van Hoewyk, J.3
-
25
-
-
32444450470
-
Multiple imputation of missing values - update
-
Royston P. (2005) Multiple imputation of missing values - update. The Stata Journal, 5, 188-201.
-
(2005)
The Stata Journal
, vol.5
, pp. 188-201
-
-
Royston, P.1
-
26
-
-
68949111980
-
Multiple imputation of missing values: new features for mim
-
Royston P., Carlin J.B., White I.R. (2009) Multiple imputation of missing values: new features for mim. The Stata Journal, 9, 252-264.
-
(2009)
The Stata Journal
, vol.9
, pp. 252-264
-
-
Royston, P.1
Carlin, J.B.2
White, I.R.3
-
27
-
-
0004282518
-
SAS/STAT User's Guide 9.2
-
SAS Institute Inc., Carey, NC, SAS Institute, Inc. [29 May 2008].
-
SAS Institute Inc. (2008) SAS/STAT User's Guide 9.2, Carey, NC, SAS Institute, Inc. [29 May 2008].
-
(2008)
-
-
-
28
-
-
0032960273
-
Multiple imputation: a primer
-
DOI: 10.1177/096228029900800102
-
Schafer J.L. (1999) Multiple imputation: a primer. Statistical Methods in Medical Research, 8, 3-15, DOI: 10.1177/096228029900800102
-
(1999)
Statistical Methods in Medical Research
, vol.8
, pp. 3-15
-
-
Schafer, J.L.1
-
29
-
-
28444485368
-
Multiple imputation in multivariate problems when the imputation and analysis models differ
-
Schafer J.L. (2003) Multiple imputation in multivariate problems when the imputation and analysis models differ. Statistica Neerlandica, 57, 19-35.
-
(2003)
Statistica Neerlandica
, vol.57
, pp. 19-35
-
-
Schafer, J.L.1
-
30
-
-
85047673373
-
Missing data: our view of the state of the art
-
DOI: 10.1111/1467-9574.00218
-
Schafer J.L., Graham J.W. (2002) Missing data: our view of the state of the art. Psychological Methods, 7, 147-177, DOI: 10.1111/1467-9574.00218
-
(2002)
Psychological Methods
, vol.7
, pp. 147-177
-
-
Schafer, J.L.1
Graham, J.W.2
-
31
-
-
33748846545
-
Multiple imputation of missing income data in the National Health Interview Survey
-
DOI: 10.1198/016214505000001375
-
Schenker N., Raghunathan T.E., Chiu P-L., Makuc D.M., Zhang G., Cohen A.J. (2006) Multiple imputation of missing income data in the National Health Interview Survey. Journal of the American Statistical Association, 101, 924-933, DOI: 10.1198/016214505000001375
-
(2006)
Journal of the American Statistical Association
, vol.101
, pp. 924-933
-
-
Schenker, N.1
Raghunathan, T.E.2
Chiu, P.-L.3
Makuc, D.M.4
Zhang, G.5
Cohen, A.J.6
-
32
-
-
77952594151
-
Lisrel 8.8
-
Scientific Software International, Lincolnwood, IL, Scientific Software International, Inc.
-
Scientific Software International (2006) Lisrel 8.8, Lincolnwood, IL, Scientific Software International, Inc.
-
(2006)
-
-
-
33
-
-
79951967318
-
Amos 18.0. SPSS Missing Values 17.0
-
SPSS Inc., Chicago, IL, SPSS Inc.
-
SPSS Inc. (2009a) Amos 18.0. SPSS Missing Values 17.0, Chicago, IL, SPSS Inc.
-
(2009)
-
-
-
34
-
-
78049233632
-
SPSS Missing Values 17.0
-
SPSS Inc., Chicago, IL, SPSS Inc.
-
SPSS Inc. (2009b) SPSS Missing Values 17.0, Chicago, IL, SPSS Inc.
-
(2009)
-
-
-
35
-
-
78049271749
-
Stata Multiple-imputation Reference Manual
-
StataCorp., College Station, TX, StataCorp., LP.
-
StataCorp. (2009) Stata Multiple-imputation Reference Manual, College Station, TX, StataCorp., LP.
-
(2009)
-
-
-
36
-
-
65249094801
-
Practical imputation with large datasets: a case study of the Children's Mental Health Initiative
-
DOI: 10.1093/aje/kwp026
-
Stuart E.A., Azur M., Frangakis C.E., Leaf P.J. (2009) Practical imputation with large datasets: a case study of the Children's Mental Health Initiative. American Journal of Epidemiology, 169, 1133-1139, DOI: 10.1093/aje/kwp026
-
(2009)
American Journal of Epidemiology
, vol.169
, pp. 1133-1139
-
-
Stuart, E.A.1
Azur, M.2
Frangakis, C.E.3
Leaf, P.J.4
-
38
-
-
34347407592
-
Multiple imputation of discrete and continuous data by fully conditional specification
-
DOI: 10.1177/0962280206074463
-
Van Buuren S. (2007) Multiple imputation of discrete and continuous data by fully conditional specification. Statistical Methods in Medical Research, 16, 219-242, DOI: 10.1177/0962280206074463
-
(2007)
Statistical Methods in Medical Research
, vol.16
, pp. 219-242
-
-
Van Buuren, S.1
-
40
-
-
34347370000
-
Evaluation of software for multiple imputation of semi-continuous data
-
DOI: 10.1177/0962280206074464
-
Yu L.M., Burton A., Rivero-Arias O. (2007) Evaluation of software for multiple imputation of semi-continuous data. Statistical Methods in Medical Research, 16, 243-258, DOI: 10.1177/0962280206074464
-
(2007)
Statistical Methods in Medical Research
, vol.16
, pp. 243-258
-
-
Yu, L.M.1
Burton, A.2
Rivero-Arias, O.3
-
41
-
-
79951965271
-
Proceedings of the Twenty-Fifth Annual SAS Users Group International Conference
-
In (Paper No. 267), Cary, NC, SAS Institute.
-
Yuan Y.C. (2000) Multiple imputation for missing data: new concepts and development. In Proceedings of the Twenty-Fifth Annual SAS Users Group International Conference (Paper No. 267), Cary, NC, SAS Institute.
-
(2000)
Multiple imputation for missing data: new concepts and development
-
-
Yuan, Y.C.1
-
42
-
-
45749108295
-
Multiple imputation inference for multivariate multilevel continuous data with ignorable non-response
-
DOI: 10.1098/rsta.2008.0038
-
Yucel Y.M. (2008) Multiple imputation inference for multivariate multilevel continuous data with ignorable non-response. Philosophical Transactions of the Royal Society A, 366, 2389-2403, DOI: 10.1098/rsta.2008.0038
-
(2008)
Philosophical Transactions of the Royal Society A
, vol.366
, pp. 2389-2403
-
-
Yucel, Y.M.1
|