-
2
-
-
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
-
3
-
-
58149142971
-
-
Lavori PW, Brown CH, Duan N, Gibbons RD, Greenhouse JB. Missing Data. In: Longitudinal Clinical Trials. Part A: Design and Conceptual Issues. Psychiatric Annals. 2008;38(12):784-792.
-
Lavori PW, Brown CH, Duan N, Gibbons RD, Greenhouse JB. Missing Data. In: Longitudinal Clinical Trials. Part A: Design and Conceptual Issues. Psychiatric Annals. 2008;38(12):784-792.
-
-
-
-
4
-
-
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. Stat Med. 1991;10(4):585-598.
-
(1991)
Stat Med
, vol.10
, Issue.4
, pp. 585-598
-
-
Rubin, D.B.1
Schenker, N.2
-
5
-
-
1542532221
-
Power calculations for data missing by design with application to a follow-up study of exposure and attention
-
Brown CH, Indurkhya A, Kellam SG. Power calculations for data missing by design with application to a follow-up study of exposure and attention. J Am Stat Assoc.2000;95:383-395.
-
(2000)
J Am Stat Assoc
, vol.95
, pp. 383-395
-
-
Brown, C.H.1
Indurkhya, A.2
Kellam, S.G.3
-
6
-
-
36549073578
-
Bias reduction with an adjustment for participants' intent to dropout of a randomized controlled clinical trial
-
Leon AC, Demirtas H, Hedeker D. Bias reduction with an adjustment for participants' intent to dropout of a randomized controlled clinical trial. Clin Trials. 2007;4(5):540-547.
-
(2007)
Clin Trials
, vol.4
, Issue.5
, pp. 540-547
-
-
Leon, A.C.1
Demirtas, H.2
Hedeker, D.3
-
8
-
-
43049098284
-
Statistical choices can affect inferences about treatment efficacy: A case study from obsessive-compulsive disorder research
-
Simpson HB, Petkova E, Cheng J, Huppert J, Foa E, Liebowitz MR. Statistical choices can affect inferences about treatment efficacy: a case study from obsessive-compulsive disorder research. J Psychiatr Res. 2008;42(8):631-638.
-
(2008)
J Psychiatr Res
, vol.42
, Issue.8
, pp. 631-638
-
-
Simpson, H.B.1
Petkova, E.2
Cheng, J.3
Huppert, J.4
Foa, E.5
Liebowitz, M.R.6
-
9
-
-
4444283472
-
Marginal analysis of incomplete longitudinal binary data: A cautionary note on LOCF imputation
-
Cook RJ. Zeng L, Yi GY. Marginal analysis of incomplete longitudinal binary data: a cautionary note on LOCF imputation. Biometrics. 2004;60(3):820-828.
-
(2004)
Biometrics
, vol.60
, Issue.3
, pp. 820-828
-
-
Cook, R.J.1
Zeng, L.2
Yi, G.Y.3
-
10
-
-
46449124620
-
Handling drop-out in longitudinal clinical trials: A comparison of the LOCF and MMRM approaches
-
Lane P. Handling drop-out in longitudinal clinical trials: a comparison of the LOCF and MMRM approaches. Pharm Stat. 2008:7(2):93-106.
-
(2008)
Pharm Stat
, vol.7
, Issue.2
, pp. 93-106
-
-
Lane, P.1
-
11
-
-
0027265386
-
Some conceptual and statistical issues in analysis of longitudinal psychiatric data. Application to the NIMH treatment of Depression Collaborative Research Program dataset
-
Gibbons RD, Hedeker D. Elkin I, et al. Some conceptual and statistical issues in analysis of longitudinal psychiatric data. Application to the NIMH treatment of Depression Collaborative Research Program dataset. Arch Gen Psychiatry. 1993;50(9):739-750.
-
(1993)
Arch Gen Psychiatry
, vol.50
, Issue.9
, pp. 739-750
-
-
Gibbons, R.D.1
Hedeker, D.2
Elkin, I.3
-
12
-
-
0026567394
-
Clinical trials in psychiatry: Should protocol deviation censor patient data?
-
Lavori PW. Clinical trials in psychiatry: should protocol deviation censor patient data? Neuropsychopharmacology. 1992;6(1):39-48.
-
(1992)
Neuropsychopharmacology
, vol.6
, Issue.1
, pp. 39-48
-
-
Lavori, P.W.1
-
14
-
-
0038504054
-
Treating depression in predominantly low-income young minority women: A randomized controlled trial
-
Miranda J, Chung JY, Green BL, et al. Treating depression in predominantly low-income young minority women: a randomized controlled trial. JAMA. 2003;290(1):57-65.
-
(2003)
JAMA
, vol.290
, Issue.1
, pp. 57-65
-
-
Miranda, J.1
Chung, J.Y.2
Green, B.L.3
-
16
-
-
0020333131
-
Random-effects models for longitudinal data
-
Laird NM. Ware JH. Random-effects models for longitudinal data. Biometrics. 1982;38(4):963-974.
-
(1982)
Biometrics
, vol.38
, Issue.4
, pp. 963-974
-
-
Laird, N.M.1
Ware, J.H.2
-
17
-
-
0023716933
-
Missing data in longitudinal studies
-
Laird NM. Missing data in longitudinal studies. Stat Med. 1988;7(1-2):305-315.
-
(1988)
Stat Med
, vol.7
, Issue.1-2
, pp. 305-315
-
-
Laird, N.M.1
-
18
-
-
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
-
19
-
-
0035755636
-
A comparison of inclusive and restrictive strategies in modern missing data procedures
-
Collins LM, Schafer JL, Kam CM. A comparison of inclusive and restrictive strategies in modern missing data procedures. Psychol Methods. 2001;6(4):330-351.
-
(2001)
Psychol Methods
, vol.6
, Issue.4
, pp. 330-351
-
-
Collins, L.M.1
Schafer, J.L.2
Kam, C.M.3
-
21
-
-
34548451124
-
How many imputations are really needed? Some practical clarifications of multiple imputation theory
-
Graham JW, Olchowski AE, Gilreath TD. How many imputations are really needed? Some practical clarifications of multiple imputation theory. Prev Sci. 2007;8(3):206-213.
-
(2007)
Prev Sci
, vol.8
, Issue.3
, pp. 206-213
-
-
Graham, J.W.1
Olchowski, A.E.2
Gilreath, T.D.3
-
22
-
-
0029995115
-
Pattern-mixture models for multivariate incomplete data with covariates
-
Little RJ, Wang Y. Pattern-mixture models for multivariate incomplete data with covariates. Biometrics. 1996;52(1):98-111.
-
(1996)
Biometrics
, vol.52
, Issue.1
, pp. 98-111
-
-
Little, R.J.1
Wang, Y.2
-
23
-
-
77956890002
-
A class of pattern-mixture models for normal incomplete data
-
Little RJA. A class of pattern-mixture models for normal incomplete data. Biometrika. 1994;81(3):471-483.
-
(1994)
Biometrika
, vol.81
, Issue.3
, pp. 471-483
-
-
Little, R.J.A.1
-
24
-
-
84950452119
-
Modeling the drop-out mechanism in repeated-measures studies
-
Little RJA. Modeling the drop-out mechanism in repeated-measures studies. J Am Stat Assoc. 1995;90:1112-1121.
-
(1995)
J Am Stat Assoc
, vol.90
, pp. 1112-1121
-
-
Little, R.J.A.1
-
25
-
-
0002105479
-
Application of random-effects pattern-mixture models for missing data in longitudinal studies
-
Hedeker D, Gibbons RD. Application of random-effects pattern-mixture models for missing data in longitudinal studies. Psychological Methods. 1997;2:64-78.
-
(1997)
Psychological Methods
, vol.2
, pp. 64-78
-
-
Hedeker, D.1
Gibbons, R.D.2
-
26
-
-
33846873244
-
Much ado about nothing: A comparison of missing data methods and software to fit incomplete data regression models
-
Horton NJ, Kleinman KP. Much ado about nothing: A comparison of missing data methods and software to fit incomplete data regression models. Am Stat. 2007;61(1):79-90.
-
(2007)
Am Stat
, vol.61
, Issue.1
, pp. 79-90
-
-
Horton, N.J.1
Kleinman, K.P.2
-
27
-
-
42049112459
-
Prevention Science and Methodology Group. Methods for testing theory and evaluating impact in randomized field trials: Intent-to-treat analyses for integrating the perspectives of person, place, and time
-
Brown CH. Wang W. Kellam SG, et al; Prevention Science and Methodology Group. Methods for testing theory and evaluating impact in randomized field trials: intent-to-treat analyses for integrating the perspectives of person, place, and time. Drug Alcohol Depend. 2008;95(Suppl 1):S74-S104.
-
(2008)
Drug Alcohol Depend
, vol.95
, Issue.SUPPL. 1
-
-
Brown, C.H.1
Wang, W.2
Kellam, S.G.3
|