-
2
-
-
85047673373
-
Missing data: Our view of the state of the art
-
Schafer JL, Graham JW. Missing data: our view of the state of the art. Psychological Methods 2002; 7:147-177.
-
(2002)
Psychological Methods
, vol.7
, pp. 147-177
-
-
Schafer, J.L.1
Graham, J.W.2
-
3
-
-
0004093524
-
-
SAGE University Paper Series on Quantitative Applications in the Social Sciences, vol. 07-136. Sage Publications: Thousand Oaks, CA
-
Allison PD. Missing Data. SAGE University Paper Series on Quantitative Applications in the Social Sciences, vol. 07-136. Sage Publications: Thousand Oaks, CA, 2001.
-
(2001)
Missing Data
-
-
Allison, P.D.1
-
8
-
-
0025801348
-
Multiple imputation in health-care databases: An overview and some applications
-
Rubin DB, Schenker N. Multiple imputation in health-care databases: an overview and some applications. Statistics in Medicine 1991; 10:585-598.
-
(1991)
Statistics in Medicine
, vol.10
, pp. 585-598
-
-
Rubin, D.B.1
Schenker, N.2
-
9
-
-
0032954507
-
Applications of multiple imputation in medical studies: From AIDS to NHANES
-
Barnard J, Meng XL. Applications of multiple imputation in medical studies: from AIDS to NHANES. Statistical Methods in Medical Research 1999; 8:17-36.
-
(1999)
Statistical Methods in Medical Research
, vol.8
, pp. 17-36
-
-
Barnard, J.1
Meng, X.L.2
-
10
-
-
0033616909
-
Multiple imputation of missing blood pressure covariates in survival analysis
-
van Buuren S, Boshuizen HC, Knook DL. Multiple imputation of missing blood pressure covariates in survival analysis. Statistics in Medicine 1999; 18:681-694.
-
(1999)
Statistics in Medicine
, vol.18
, pp. 681-694
-
-
van Buuren, S.1
Boshuizen, H.C.2
Knook, D.L.3
-
12
-
-
1942429013
-
Comparison of two multiple imputation procedures in a cancer screening survey
-
Bernaards CA, Farmer MM, Qi K, Dulai GS, Ganz PA, Kahn KL. Comparison of two multiple imputation procedures in a cancer screening survey. Journal of Data Science 2003; 1:293-312.
-
(2003)
Journal of Data Science
, vol.1
, pp. 293-312
-
-
Bernaards, C.A.1
Farmer, M.M.2
Qi, K.3
Dulai, G.S.4
Ganz, P.A.5
Kahn, K.L.6
-
13
-
-
0004282518
-
-
SAS. SAS Institute, Inc: Cary, NC
-
SAS. SAS/STAT User's Guide. Version 8. SAS Institute, Inc: Cary, NC, 1999.
-
(1999)
SAS/STAT User's Guide Version 8
-
-
-
15
-
-
1842607847
-
-
R Development Core Team. R Foundation for Statistical Computing: Vienna, Austria, ISBN 3-900051-00-3, URL
-
R Development Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing: Vienna, Austria, 2003; ISBN 3-900051-00-3, URL http://www.R-project.org
-
(2003)
R: A Language and Environment for Statistical Computing
-
-
-
17
-
-
23044525261
-
Multiple imputation in practice: Comparison of software packages for regression models with missing variables
-
Horton NJ, Lipsitz SR. Multiple imputation in practice: comparison of software packages for regression models with missing variables. The American Statistician 2001; 55:244-254.
-
(2001)
The American Statistician
, vol.55
, pp. 244-254
-
-
Horton, N.J.1
Lipsitz, S.R.2
-
18
-
-
33750050943
-
-
Statistical Solutions Ltd. Version 3.0. Crosse's Green, Cork, Ireland, [22 January 2004]
-
Statistical Solutions Ltd. SOLAS for Missing Data Analysis. Version 3.0. Crosse's Green, Cork, Ireland, http://www.statsol.ie [22 January 2004].
-
SOLAS for Missing Data Analysis
-
-
-
22
-
-
0000704344
-
Maximum likelihood estimation for mixed continuous and categorical variables with missing values
-
Little RJA, Schluchter MD. Maximum likelihood estimation for mixed continuous and categorical variables with missing values. Biometrika 1985; 72:497-512.
-
(1985)
Biometrika
, vol.72
, pp. 497-512
-
-
Little, R.J.A.1
Schluchter, M.D.2
-
23
-
-
0033619671
-
Performance of a general location model with an ignorable missing-data assumption in a multivariate mental health services study
-
Belin TR, Hu MY, Young AS, Grusky O. Performance of a general location model with an ignorable missing-data assumption in a multivariate mental health services study. Statistics in Medicine 1999; 18:3123-3135.
-
(1999)
Statistics in Medicine
, vol.18
, pp. 3123-3135
-
-
Belin, T.R.1
Hu, M.Y.2
Young, A.S.3
Grusky, O.4
-
24
-
-
0000622671
-
Ellipsoidally symmetric extensions of the general location model for mixed categorical and continuous data
-
Liu C, Rubin DB. Ellipsoidally symmetric extensions of the general location model for mixed categorical and continuous data. Biometrika 1998; 85:673-688.
-
(1998)
Biometrika
, vol.85
, pp. 673-688
-
-
Liu, C.1
Rubin, D.B.2
-
25
-
-
0017133178
-
Inference and missing data
-
Rubin DB. Inference and missing data. Biometrika 1976; 63:581-592.
-
(1976)
Biometrika
, vol.63
, pp. 581-592
-
-
Rubin, D.B.1
-
27
-
-
0035650307
-
Sensitivity analysis for incomplete contingency tables: The Slovenian plebiscite case
-
Molenberghs G, Kenward MG, Goetghebeur E. Sensitivity analysis for incomplete contingency tables: the Slovenian plebiscite case. Applied Statistics 2001; 50:15-29.
-
(2001)
Applied Statistics
, vol.50
, pp. 15-29
-
-
Molenberghs, G.1
Kenward, M.G.2
Goetghebeur, E.3
-
28
-
-
33748092482
-
-
Wested: Los Alamitos, CA, [22 January 2004]
-
Hanson TL, Austin G, Lee-Bayha J. Student Health Risks, Resilience, and Academic Performance: Year 1 Report. Wested: Los Alamitos, CA, 2003; http://www.wested.org/chks/pdf/apirpt.pdf [22 January 2004].
-
(2003)
Student Health Risks, Resilience, and Academic Performance: Year 1 Report
-
-
Hanson, T.L.1
Austin, G.2
Lee-Bayha, J.3
|