-
1
-
-
0037220933
-
Multiple imputation of baseline data in the Cardiovascular Health Study
-
Arnold AM, Kronmal RA. Multiple imputation of baseline data in the Cardiovascular Health Study. American Journal of Epidemiology 2003; 157:74-84.
-
(2003)
American Journal of Epidemiology
, vol.157
, pp. 74-84
-
-
Arnold, A.M.1
Kronmal, R.A.2
-
3
-
-
0037203136
-
Use of the mean, hot deck and multiple imputation techniques to predict outcome in intensive care unit patients in Columbia
-
Perez A, Dennis RJ, Gil JFA, Rondon MA, Lopez A. Use of the mean, hot deck and multiple imputation techniques to predict outcome in intensive care unit patients in Columbia. Statistics in Medicine 2002; 21: 3885-3896.
-
(2002)
Statistics in Medicine
, vol.21
, pp. 3885-3896
-
-
Perez, A.1
Dennis, R.J.2
Gil, J.F.A.3
Rondon, M.A.4
Lopez, A.5
-
5
-
-
0035882464
-
Imputation of missing values in the case of a multiple instrument measuring alcohol consumption
-
Gmel G. Imputation of missing values in the case of a multiple instrument measuring alcohol consumption. Statistics in Medicine 2001; 20:2369-2381.
-
(2001)
Statistics in Medicine
, vol.20
, pp. 2369-2381
-
-
Gmel, G.1
-
6
-
-
0037108314
-
Use of multiple imputation to correct for nonresponse bias in a survey of urologic symptoms among African-American men
-
Taylor JMG, Cooper KL, Wei JT, Sarma AV, Raghunathan TE, Heeringa SG. Use of multiple imputation to correct for nonresponse bias in a survey of urologic symptoms among African-American men. American Journal of Epidemiology 2002; 156:774-782.
-
(2002)
American Journal of Epidemiology
, vol.156
, pp. 774-782
-
-
Taylor, J.M.G.1
Cooper, K.L.2
Wei, J.T.3
Sarma, A.V.4
Raghunathan, T.E.5
Heeringa, S.G.6
-
7
-
-
0032450951
-
Women's Health Australia: Recruitment for a national longitudinal cohort study
-
Brown WJ, Bryson L, Byles JE, Dobson AJ, Lee C, Mishra G, Schofield M. Women's Health Australia: recruitment for a national longitudinal cohort study. Women and Health 1998; 28:23-40.
-
(1998)
Women and Health
, vol.28
, pp. 23-40
-
-
Brown, W.J.1
Bryson, L.2
Byles, J.E.3
Dobson, A.J.4
Lee, C.5
Mishra, G.6
Schofield, M.7
-
8
-
-
0003408447
-
-
The Health Institute, New England Medical Center: Boston, MA
-
Ware JE, Snow KK, Kosinski M, Gandek B. SF-36 Health Survey Manual and Interpretation Guide. The Health Institute, New England Medical Center: Boston, MA, 1993.
-
(1993)
SF-36 Health Survey Manual and Interpretation Guide
-
-
Ware, J.E.1
Snow, K.K.2
Kosinski, M.3
Gandek, B.4
-
13
-
-
0036143380
-
Multiple imputation versus data enhancement for dealing with missing data in observational health outcome analyses
-
for the APPROACH Investigators
-
Faris PD, Ghali WA, Brant R, Norris CM, Galbraith PD, Knudtson ML, for the APPROACH Investigators. Multiple imputation versus data enhancement for dealing with missing data in observational health outcome analyses. Journal of Clinical Epidemiology 2002; 55:184-191.
-
(2002)
Journal of Clinical Epidemiology
, vol.55
, pp. 184-191
-
-
Faris, P.D.1
Ghali, W.A.2
Brant, R.3
Norris, C.M.4
Galbraith, P.D.5
Knudtson, M.L.6
-
14
-
-
84972537494
-
Multiple-imputation inferences with uncongenial sources of input
-
Meng XL. Multiple-imputation inferences with uncongenial sources of input. Statistical Science 1994; 9: 538-573.
-
(1994)
Statistical Science
, vol.9
, pp. 538-573
-
-
Meng, X.L.1
-
16
-
-
4444358743
-
-
SAS Institute Incorporated. SAS 8. SAS Institute Inc.: Cary, NC
-
SAS Institute Incorporated. SAS 8. SAS Institute Inc.: Cary, NC, 1999.
-
(1999)
-
-
|