-
1
-
-
0000828942
-
Missing observations in multivariate statistics: I. Review of the literature
-
Afifi, A. A., & Elashoff, R. M. (1966). Missing observations in multivariate statistics: I. Review of the literature. Journal of the American Statistical Association, 61, 595-604.
-
(1966)
Journal of the American Statistical Association
, vol.61
, pp. 595-604
-
-
Afifi, A.A.1
Elashoff, R.M.2
-
2
-
-
84936025682
-
Estimation of linear models with incomplete data
-
C. Clogg (Ed.). Washington. DC: American Sociological Association
-
Allison, P. D. (1987). Estimation of linear models with incomplete data. In C. Clogg (Ed.), Sociological methodology 1987 (pp. 71-103). Washington. DC: American Sociological Association.
-
(1987)
Sociological Methodology 1987
, pp. 71-103
-
-
Allison, P.D.1
-
3
-
-
85027582937
-
-
Allison, P. D. (2000). COMBCHI. Retrieved August 7, 2003, from http://www.ssc.upenn.edu/~allison/combchi.sas
-
(2000)
COMBCHI
-
-
Allison, P.D.1
-
4
-
-
0004093524
-
-
Thousand Oaks, CA: Sage
-
Allison, P. D. (2001). Missing data. Thousand Oaks, CA: Sage.
-
(2001)
Missing Data
-
-
Allison, P.D.1
-
5
-
-
0002914202
-
Full information estimation in the presence of incomplete data
-
G. A. Marcoulides & R. E. Schumacker (Eds.). Mahwah, NJ: Erlbaum
-
Arbuckle, J. L. (1996). Full information estimation in the presence of incomplete data. In G. A. Marcoulides & R. E. Schumacker (Eds.), Advanced structural equation modeling: Issues and techniques (pp. 243-277). Mahwah, NJ: Erlbaum.
-
(1996)
Advanced Structural Equation Modeling: Issues and Techniques
, pp. 243-277
-
-
Arbuckle, J.L.1
-
6
-
-
84937294360
-
Structural equation models that are nonlinear in latent variables: A least squares estimator
-
P. V. Marsden (Ed.). Boston: Blackwell Publishers
-
Bollen, K. A. (1995). Structural equation models that are nonlinear in latent variables: A least squares estimator. In P. V. Marsden (Ed.), Sociological methodology 1995 (pp. 223-251). Boston: Blackwell Publishers.
-
(1995)
Sociological Methodology 1995
, pp. 223-251
-
-
Bollen, K.A.1
-
8
-
-
0035755636
-
A comparison of inclusive and restrictive strategies in modern missing data procedures
-
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.
-
(2001)
Psychological Methods
, vol.6
, pp. 330-351
-
-
Collins, L.M.1
Schafer, J.L.2
Kam, C.M.3
-
10
-
-
0002629270
-
Maximum likelihood estimation from incomplete data via the EM algorithm
-
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood estimation from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, Series B, 39, 1-38.
-
(1977)
Journal of the Royal Statistical Society, Series B
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
11
-
-
0004928597
-
A comparison of model- and multiple imputation-based approaches to longitudinal analysis with partial missingness
-
Duncan, T. E., Duncan, S. C., & Li, F. (1998). A comparison of model- and multiple imputation-based approaches to longitudinal analysis with partial missingness. Structural Equation Modeling, 5, 1-21.
-
(1998)
Structural Equation Modeling
, vol.5
, pp. 1-21
-
-
Duncan, T.E.1
Duncan, S.C.2
Li, F.3
-
13
-
-
0344178031
-
Linear regression analysis with missing observations among the independent variables
-
Glasser, M. (1964). Linear regression analysis with missing observations among the independent variables. Journal of the American Statistical Association, 59, 834-844.
-
(1964)
Journal of the American Statistical Association
, vol.59
, pp. 834-844
-
-
Glasser, M.1
-
15
-
-
0001766028
-
The common structure of statistical models of truncated, sample selection and limited dependent variables, and a simple estimator of such models
-
Heckman, J. J. (1976). The common structure of statistical models of truncated, sample selection and limited dependent variables, and a simple estimator of such models. Annals of Economic and Social Measurement, 5, 475-492.
-
(1976)
Annals of Economic and Social Measurement
, vol.5
, pp. 475-492
-
-
Heckman, J.J.1
-
16
-
-
0001720173
-
Indicator and stratification methods for missing explanatory variables in multiple linear regression
-
Jones, M. P. (1996). Indicator and stratification methods for missing explanatory variables in multiple linear regression. Journal of the American Statistical Association, 91, 222-230.
-
(1996)
Journal of the American Statistical Association
, vol.91
, pp. 222-230
-
-
Jones, M.P.1
-
17
-
-
84970352416
-
The treatment of missing data in multivariate analysis
-
Kim, J.-O., & Curry, J. (1977). The treatment of missing data in multivariate analysis. Sociological Methods & Research, 6, 215-240.
-
(1977)
Sociological Methods & Research
, vol.6
, pp. 215-240
-
-
Kim, J.-O.1
Curry, J.2
-
18
-
-
0040630186
-
Significance levels from repeated p-values and multiply imputed data
-
Li, K. H., Meng, X. L., Raghunathan, T. E., & Rubin, D. B. (1991). Significance levels from repeated p-values and multiply imputed data. Statistica Sinica, 1, 65-92.
-
(1991)
Statistica Sinica
, vol.1
, pp. 65-92
-
-
Li, K.H.1
Meng, X.L.2
Raghunathan, T.E.3
Rubin, D.B.4
-
22
-
-
70350088268
-
Maximum likelihood estimation in panel studies with missing data
-
K. F. Schuessler (Ed.). San Francisco: Jossey-Bass
-
Marini, M. M., Olsen, A. R., & Rubin, D. (1979). Maximum likelihood estimation in panel studies with missing data. In K. F. Schuessler (Ed.), Sociological methodology 1980 (pp. 314-357). San Francisco: Jossey-Bass.
-
(1979)
Sociological Methodology 1980
, pp. 314-357
-
-
Marini, M.M.1
Olsen, A.R.2
Rubin, D.3
-
24
-
-
0001010853
-
On structural equation modeling with data that are not missing completely at random
-
Muthén, B., Kaplan, K., & Hollis, M. (1987). On structural equation modeling with data that are not missing completely at random. Psychometrika, 42, 431-462.
-
(1987)
Psychometrika
, vol.42
, pp. 431-462
-
-
Muthén, B.1
Kaplan, K.2
Hollis, M.3
-
25
-
-
0002344593
-
A multivariate technique for multiply imputing missing values using a sequence of regression models
-
Raghunathan, T. E., Lepkowski, J. M., Van Hoewyk, J., & Solenberger, 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.E.1
Lepkowski, J.M.2
Van Hoewyk, J.3
Solenberger, P.4
-
26
-
-
0017133178
-
Inference and missing data
-
Rubin, D. B. (1976). Inference and missing data. Biometrika, 63, 581-592.
-
(1976)
Biometrika
, vol.63
, pp. 581-592
-
-
Rubin, D.B.1
-
31
-
-
85047673373
-
Missing data: Our view of the state of the art
-
Schafer, J. L., & Graham, J. W. (2000). Missing data: Our view of the state of the art. Psychological Methods, 7, 147-177.
-
(2000)
Psychological Methods
, vol.7
, pp. 147-177
-
-
Schafer, J.L.1
Graham, J.W.2
-
32
-
-
0032219074
-
Multiple imputation for multivariate missing-data problems: A data analyst's perspective
-
Schafer, J. L., & Olsen, M. K. (1998). Multiple imputation for multivariate missing-data problems: A data analyst's perspective. Multivariate Behavioral Research, 33, 545-571.
-
(1998)
Multivariate Behavioral Research
, vol.33
, pp. 545-571
-
-
Schafer, J.L.1
Olsen, M.K.2
-
33
-
-
0035748192
-
The use of multiple imputation for the analysis of missing data
-
Sinharay, S., Stern, H. S., & Russell, D. (2001). The use of multiple imputation for the analysis of missing data. Psychological Methods, 6, 317-329.
-
(2001)
Psychological Methods
, vol.6
, pp. 317-329
-
-
Sinharay, S.1
Stern, H.S.2
Russell, D.3
-
34
-
-
84950758368
-
The calculation of posterior distributions by data augmentation (with discussion)
-
Tanner, M. A., & Wong, W. H. (1987). The calculation of posterior distributions by data augmentation (with discussion). Journal of the American Statistical Association, 82, 528-550.
-
(1987)
Journal of the American Statistical Association
, vol.82
, pp. 528-550
-
-
Tanner, M.A.1
Wong, W.H.2
-
36
-
-
0002298117
-
Longitudinal and multi-group modeling with missing data
-
T. D. Little, K. U. Schnabel, & J. Baumert (Eds.). Mahwah, NJ: Erlbaum
-
Wothke, W. (2000). Longitudinal and multi-group modeling with missing data. In T. D. Little, K. U. Schnabel, & J. Baumert (Eds.), Modeling longitudinal and multiple group data: Practical issues, applied approaches and specific examples (pp. 1-24). Mahwah, NJ: Erlbaum.
-
(2000)
Modeling Longitudinal and Multiple Group Data: Practical Issues, Applied Approaches and Specific Examples
, pp. 1-24
-
-
Wothke, W.1
-
37
-
-
0034555721
-
Three likelihood-based methods for mean and covariance structure analysis with nonnormal missing data
-
M. P. Becker (Ed.). Boston: Blackwell Publishers
-
Yuan, K.-H., & Bentler, P. M. (2000). Three likelihood-based methods for mean and covariance structure analysis with nonnormal missing data. In M. P. Becker (Ed.), Sociological methodology 2000 (pp. 165-200). Boston: Blackwell Publishers.
-
(2000)
Sociological Methodology 2000
, pp. 165-200
-
-
Yuan, K.-H.1
Bentler, P.M.2
|