-
1
-
-
2442736478
-
Small-sample degrees of freedom with multiple imputation
-
Barnard, J. and Rubin, D. B. (1999). Small-sample degrees of freedom with multiple imputation. Biometrika 86(4), 948-955.
-
(1999)
Biometrika
, vol.86
, Issue.4
, pp. 948-955
-
-
Barnard, J.1
Rubin, D.B.2
-
2
-
-
0035865989
-
Cluster trials in implementation research: Estimation of intracluster correlation coefficients and sample size
-
Campbell, M. K., Mollison, J., and Grimshaw, J. M. (2001). Cluster trials in implementation research: estimation of intracluster correlation coefficients and sample size. Statistics in Medicine 20(3), 391-399.
-
(2001)
Statistics in Medicine
, vol.20
, Issue.3
, pp. 391-399
-
-
Campbell, M.K.1
Mollison, J.2
Grimshaw, J.M.3
-
4
-
-
0028955553
-
Community intervention trial for smoking cessation: I. Cohort results from a four-year community intervention
-
COMMIT
-
COMMIT. (1995). Community intervention trial for smoking cessation: I. Cohort results from a four-year community intervention. American Journal of Public Health 85(2), 183-192.
-
(1995)
American Journal of Public Health
, vol.85
, Issue.2
, pp. 183-192
-
-
-
5
-
-
0032926466
-
Design and statistical analysis for the Pathways study
-
Davis, C. E., Hunsberger, S., Murray, D. M., Fabsitz, R. R., Himes, J. H., Stephenson, L. K., Caballero, B., and Skipper, B. (1999). Design and statistical analysis for the Pathways study. American Journal of Clinical Nutrition 69(S), 760S-763S.
-
(1999)
American Journal of Clinical Nutrition
, vol.69
, Issue.S
-
-
Davis, C.E.1
Hunsberger, S.2
Murray, D.M.3
Fabsitz, R.R.4
Himes, J.H.5
Stephenson, L.K.6
Caballero, B.7
Skipper, B.8
-
6
-
-
0029618367
-
Optimal survey design for community intervention evaluations: Cohort or cross-sectional?
-
Diehr, P., Martin, D. C., Koepsell, T., Cheadle, A., Wagner, E., and Psaty, B. (1995). Optimal survey design for community intervention evaluations: cohort or cross-sectional? Journal of Clinical Epidemiology 48(12), 1461-1472.
-
(1995)
Journal of Clinical Epidemiology
, vol.48
, Issue.12
, pp. 1461-1472
-
-
Diehr, P.1
Martin, D.C.2
Koepsell, T.3
Cheadle, A.4
Wagner, E.5
Psaty, B.6
-
7
-
-
0025690127
-
A methodological review of non-therapeutic intervention trials employing cluster randomization, 1979-1989
-
Donner, A., Brown, K. S., and Brasher, P. (1990). A methodological review of non-therapeutic intervention trials employing cluster randomization, 1979-1989. International Journal of Epidemiology 19(4), 795-800.
-
(1990)
International Journal of Epidemiology
, vol.19
, Issue.4
, pp. 795-800
-
-
Donner, A.1
Brown, K.S.2
Brasher, P.3
-
8
-
-
43949159608
-
Cluster randomization trials in epidemiology: Theory and application
-
Donner, A. and Klar, N. (1994). Cluster randomization trials in epidemiology: theory and application. Journal of Statistical Planning and Inference 42, 37-56.
-
(1994)
Journal of Statistical Planning and Inference
, vol.42
, pp. 37-56
-
-
Donner, A.1
Klar, N.2
-
10
-
-
0027976998
-
Cohort versus cross-sectional design in large field trials: Precision, sample size, and a unifying model
-
Feldman, H. A. and McKinlay, S. M. (1994). Cohort versus cross-sectional design in large field trials: precision, sample size, and a unifying model. Statistics in Medicine 13, 61-78.
-
(1994)
Statistics in Medicine
, vol.13
, pp. 61-78
-
-
Feldman, H.A.1
McKinlay, S.M.2
-
11
-
-
0034996305
-
Selected statistical issues in group randomized trials
-
Feng, Z., Diehr, P., Peterson, A., and McLerran, D. (2001). Selected statistical issues in group randomized trials. Annual Review of Public Health 22, 167-187.
-
(2001)
Annual Review of Public Health
, vol.22
, pp. 167-187
-
-
Feng, Z.1
Diehr, P.2
Peterson, A.3
McLerran, D.4
-
13
-
-
0026517070
-
Aspects of statistical design for the community intervention trial for smoking cessation (COMMIT)
-
Gail, M. H., Byar, D. P., Pechacek, T. F., and Corle, D. K. (1992). Aspects of statistical design for the community intervention trial for smoking cessation (COMMIT). Controlled Clinical Trials 13, 6-21.
-
(1992)
Controlled Clinical Trials
, vol.13
, pp. 6-21
-
-
Gail, M.H.1
Byar, D.P.2
Pechacek, T.F.3
Corle, D.K.4
-
14
-
-
0002545717
-
Tests for no treatment effect in randomized clinical trials
-
Gail, M. H., Tan, W. Y., and Piantadosi, S. (1988). Tests for no treatment effect in randomized clinical trials. Biometrika 75, 57-64.
-
(1988)
Biometrika
, vol.75
, pp. 57-64
-
-
Gail, M.H.1
Tan, W.Y.2
Piantadosi, S.3
-
15
-
-
0003860037
-
-
Gilks, W. R, Richardson, S, and Spiegelhalter, D. J, eds, Chapman and Hall, London
-
Gilks, W. R., Richardson, S., and Spiegelhalter, D. J. (eds.) (1996). Markov-Chain Monte Carlo in Practice. Chapman and Hall, London.
-
(1996)
Markov-Chain Monte Carlo in Practice
-
-
-
16
-
-
0030903970
-
Composite cardiovascular risk outcomes of a work-site intervention trial
-
Gomel, M. K., Oldenburg, B., Simpson, J. M., Chilvers, M., and Owen, N. (1997). Composite cardiovascular risk outcomes of a work-site intervention trial. American Journal of Public Health 87(4), 673-676.
-
(1997)
American Journal of Public Health
, vol.87
, Issue.4
, pp. 673-676
-
-
Gomel, M.K.1
Oldenburg, B.2
Simpson, J.M.3
Chilvers, M.4
Owen, N.5
-
17
-
-
23044525261
-
Multiple imputation in practice: Comparison of software packages for regression models with missing variables
-
Horton, N. J. and Lipsitz, S. R. (2001). Multiple imputation in practice: Comparison of software packages for regression models with missing variables. American Statistician 5(3), 244-254.
-
(2001)
American Statistician
, vol.5
, Issue.3
, pp. 244-254
-
-
Horton, N.J.1
Lipsitz, S.R.2
-
18
-
-
0035970128
-
Imputation strategies for missing data in a school-based multi-centre study: The Pathways study
-
Hunsberger, S., Murray, D., Davis, C. E., and Fabsitz, R. R. (2001). Imputation strategies for missing data in a school-based multi-centre study: the Pathways study. Statistics in Medicine 20, 305-316.
-
(2001)
Statistics in Medicine
, vol.20
, pp. 305-316
-
-
Hunsberger, S.1
Murray, D.2
Davis, C.E.3
Fabsitz, R.R.4
-
19
-
-
0020333131
-
Random-effects models for longitudinal data
-
Laird, N. M. and Ware, J. H. (1982). Random-effects models for longitudinal data. Biometrics 38, 963-974.
-
(1982)
Biometrics
, vol.38
, pp. 963-974
-
-
Laird, N.M.1
Ware, J.H.2
-
20
-
-
0029157096
-
A multiple imputation strategy for clinical trials with truncation of patient data
-
Lavori, P. W., Dawson, R., and Shera, D. (1995). A multiple imputation strategy for clinical trials with truncation of patient data. Statistics in Medicine 14, 1913-1925.
-
(1995)
Statistics in Medicine
, vol.14
, pp. 1913-1925
-
-
Lavori, P.W.1
Dawson, R.2
Shera, D.3
-
21
-
-
0041075396
-
A partial correlation coefficient and coefficient of determination for multivariate normal repeated measures data
-
Lipsitz, S. R., Leong, T., and Lipschultz, S. (2001). A partial correlation coefficient and coefficient of determination for multivariate normal repeated measures data. The Statistician 50(1), 87-95.
-
(2001)
The Statistician
, vol.50
, Issue.1
, pp. 87-95
-
-
Lipsitz, S.R.1
Leong, T.2
Lipschultz, S.3
-
23
-
-
0033637095
-
Multiple Imputation and Posterior Simulation for Multivariate Missing Data in Longitudinal Studies
-
Liu, M., Taylor, J. M. G., and Belin, T. R. (2000). Multiple Imputation and Posterior Simulation for Multivariate Missing Data in Longitudinal Studies. Biometrics 56, 1157-1163.
-
(2000)
Biometrics
, vol.56
, pp. 1157-1163
-
-
Liu, M.1
Taylor, J.M.G.2
Belin, T.R.3
-
24
-
-
84972537494
-
Multiple Imputation with Uncongenial Sources of Input (with discussion)
-
Meng, X. L. (1994). Multiple Imputation with Uncongenial Sources of Input (with discussion). Statistical Science 9, 538-574.
-
(1994)
Statistical Science
, vol.9
, pp. 538-574
-
-
Meng, X.L.1
-
26
-
-
0026958173
-
Statistical methods for longitudinal and clustered designs with binary responses
-
Neuhaus, J. M. (1992). Statistical methods for longitudinal and clustered designs with binary responses. Statistical Methods in Medical Research 1, 249-273.
-
(1992)
Statistical Methods in Medical Research
, vol.1
, pp. 249-273
-
-
Neuhaus, J.M.1
-
27
-
-
3843110927
-
Modelling and generating correlated binary variables
-
Oman, S. D. and Zucker, D. M. (2001). Modelling and generating correlated binary variables. Biometrika 88, 287-290.
-
(2001)
Biometrika
, vol.88
, pp. 287-290
-
-
Oman, S.D.1
Zucker, D.M.2
-
28
-
-
0024266392
-
Correlated binary regression with covariates specific to each binary observation
-
Prentice, R. L. (1988). Correlated binary regression with covariates specific to each binary observation. Biometrics 44, 1033-1048.
-
(1988)
Biometrics
, vol.44
, pp. 1033-1048
-
-
Prentice, R.L.1
-
29
-
-
84950918760
-
Multiple imputation for interval estimation from simple random samples with ignorable nonresponse
-
Rubin, D. B. and Schenker, N. (1986). Multiple imputation for interval estimation from simple random samples with ignorable nonresponse. Journal of the American Statistical Association 81(394), 366-374.
-
(1986)
Journal of the American Statistical Association
, vol.81
, Issue.394
, pp. 366-374
-
-
Rubin, D.B.1
Schenker, N.2
-
30
-
-
0025801348
-
Multiple imputation in health-care databases: An overview and some applications
-
Rubin, D. B. and Schenker, N. (1991). Multiple imputation in health-care databases: an overview and some applications. Statistics in Medicine 10, 585-598.
-
(1991)
Statistics in Medicine
, vol.10
, pp. 585-598
-
-
Rubin, D.B.1
Schenker, N.2
-
31
-
-
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
-
36
-
-
0004211748
-
Multiple imputation with PAN
-
Sayer, A. G, Collins, L. M, eds, American Psychological Association, Washington DC
-
Schafer, J. L. (2001). Multiple imputation with PAN. In: Sayer, A. G., Collins, L. M. (eds.), New methods for the analysis of change. American Psychological Association, Washington DC.
-
(2001)
New methods for the analysis of change
-
-
Schafer, J.L.1
-
37
-
-
0030248442
-
Factors affecting attrition in a longitudinal smoking prevention study
-
Siddiqui, O., Flay, B. R., and Hu, F. B. (1996). Factors affecting attrition in a longitudinal smoking prevention study. Preventive Medicine 25, 554-560.
-
(1996)
Preventive Medicine
, vol.25
, pp. 554-560
-
-
Siddiqui, O.1
Flay, B.R.2
Hu, F.B.3
-
38
-
-
0018251271
-
Life style intervention in clinic-based trials
-
Syme, S. L. (1978). Life style intervention in clinic-based trials. American Journal of Epidemiology 108, 87-91.
-
(1978)
American Journal of Epidemiology
, vol.108
, pp. 87-91
-
-
Syme, S.L.1
-
39
-
-
34249682530
-
Accounting for Expected Attrition in the Planning of Community Intervention Trials
-
Taljaard, M., Donner, A., and Klar, N. (2007). Accounting for Expected Attrition in the Planning of Community Intervention Trials. Statistics in Medicine 26, 2615-2628
-
(2007)
Statistics in Medicine
, vol.26
, pp. 2615-2628
-
-
Taljaard, M.1
Donner, A.2
Klar, N.3
-
40
-
-
0035042605
-
Evaluation of Indicated Suicide Risk Prevention Approaches for Potential High School Drop outs
-
Thompson, E. A., Eggert, L. L., Randell, B. P., and Pike, K. C. (2001). Evaluation of Indicated Suicide Risk Prevention Approaches for Potential High School Drop outs. American Journal of Public Health 91(5), 742-752.
-
(2001)
American Journal of Public Health
, vol.91
, Issue.5
, pp. 742-752
-
-
Thompson, E.A.1
Eggert, L.L.2
Randell, B.P.3
Pike, K.C.4
-
43
-
-
0345659235
-
Multiple Imputation: Theory and Method
-
Zhang, P. (2003). Multiple Imputation: Theory and Method. International Statistical Review 71(3), 581-592.
-
(2003)
International Statistical Review
, vol.71
, Issue.3
, pp. 581-592
-
-
Zhang, P.1
|