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T R Ten Have

Showing results (11-20 of 36) with videos related to

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Statistics in Medicine|June 11, 1999
A comparison of mixed effects logistic regression models for binary response data with two nested levels of clusteringT R Ten Have, A R Kunselman, L Tran
Statistics in Medicine|June 15, 1996
Association models for periodontal disease progression: a comparison of methods for clustered binary dataT R Ten Have, J R Landis, S Weaver
Statistics in Medicine|December 15, 1996
Population-averaged and cluster-specific models for clustered ordinal response dataT R Ten Have, J R Landis, J Hartzel
Statistics in Medicine|February 28, 1995
Association models for periodontal disease progression: a comparison of methods for clustered binary dataT R Ten Have, J R Landis, S L Weaver
The American Journal of Geriatric Psychiatry : Official Journal of the American Association for Geriatric Psychiatry|July 26, 2000
Effects of alcohol consumption on the treatment of depression among elderly patientsD W Oslin, I R Katz, W S Edell, et al.
Biometrics|April 17, 1998
Mixed effects logistic regression models for longitudinal binary response data with informative drop-outT R Ten Have, A R Kunselman, E P Pulkstenis, et al.
International Journal of Bio-Medical Computing|March 1, 1992
A PC program for performing multigroup longitudinal comparisons using the Potthoff-Roy analysis and orthogonal polynomialsT R ten Have, C J Kowalski, E D Schneiderman, et al.
American Journal of Orthodontics and Dentofacial Orthopedics : Official Publication of the American Association of Orthodontists, Its Constituent Societies, and the American Board of Orthodontics|April 1, 1989
A multivariate approach to analyzing the relation between occlusion and craniofacial morphologyS D Keeling, M L Riolo, R E Martin, et al.
International Journal of Bio-Medical Computing|January 1, 1993
A GAUSS program for computing the Foulkes-Davis tracking index for polynomial growth curvesE D Schneiderman, S M Willis, C J Kowalski, et al.
Computers in Biology and Medicine|March 1, 1993
Longer-term growth prediction using GAUSSE D Schneiderman, S M Willis, C J Kowalski, et al.
Pageof 4

Showing results (11-20 of 36) with videos related to

Sort By:
Pageof 4
Statistics in Medicine|June 11, 1999
A comparison of mixed effects logistic regression models for binary response data with two nested levels of clusteringT R Ten Have, A R Kunselman, L Tran
Statistics in Medicine|June 15, 1996
Association models for periodontal disease progression: a comparison of methods for clustered binary dataT R Ten Have, J R Landis, S Weaver
Statistics in Medicine|December 15, 1996
Population-averaged and cluster-specific models for clustered ordinal response dataT R Ten Have, J R Landis, J Hartzel
Statistics in Medicine|February 28, 1995
Association models for periodontal disease progression: a comparison of methods for clustered binary dataT R Ten Have, J R Landis, S L Weaver
The American Journal of Geriatric Psychiatry : Official Journal of the American Association for Geriatric Psychiatry|July 26, 2000
Effects of alcohol consumption on the treatment of depression among elderly patientsD W Oslin, I R Katz, W S Edell, et al.
Biometrics|April 17, 1998
Mixed effects logistic regression models for longitudinal binary response data with informative drop-outT R Ten Have, A R Kunselman, E P Pulkstenis, et al.
International Journal of Bio-Medical Computing|March 1, 1992
A PC program for performing multigroup longitudinal comparisons using the Potthoff-Roy analysis and orthogonal polynomialsT R ten Have, C J Kowalski, E D Schneiderman, et al.
American Journal of Orthodontics and Dentofacial Orthopedics : Official Publication of the American Association of Orthodontists, Its Constituent Societies, and the American Board of Orthodontics|April 1, 1989
A multivariate approach to analyzing the relation between occlusion and craniofacial morphologyS D Keeling, M L Riolo, R E Martin, et al.
International Journal of Bio-Medical Computing|January 1, 1993
A GAUSS program for computing the Foulkes-Davis tracking index for polynomial growth curvesE D Schneiderman, S M Willis, C J Kowalski, et al.
Computers in Biology and Medicine|March 1, 1993
Longer-term growth prediction using GAUSSE D Schneiderman, S M Willis, C J Kowalski, et al.
Pageof 4