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compound symmetry

34 papers; 34 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG 2025 An End-to-End Workflow for TFL Generation using R: MMRM Applications and Comparative Insights with SAS Kai Lei,
Jiaqiang Zhu,
Margaret Huang		 source 14
PHUSE EU 2019 Mixed Model Repeated Measures (MMRMs) Mrudula Suryawanshi source
presentation source		 19
MWSUG 2018 Tips, Tricks, and Traps on Longitudinal Data Analysis with Discrete and Continuous Times Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Gray Ficker,
Gretchen Piatt		 20
PHUSE EU 2017 How to Fit Longitudinal Data with Proc MCMC Maud Henion source
presentation source		 16
PharmaSUG 2010 Dynamic Determination of Mixed Model Covariance Structures in Double-blind Clinical Trials Matthew Davis 7
SGF 2009 Comparison of Features and Applications of Four Linear Models Procedures Larry W. Douglass source 19
MWSUG 2007 RANDOM and REPEATED statements - How to Use Them to Model the Covariance Structure in Proc Mixed Charlie Liu 11
WUSS 2007 Time Series Cross Sectional Analysis of Total Nitrogen Concentration in Truckee River, Nevada Using SAS Anpalaki J. Ragavan source 11
PHUSE EU 2006 Analysis of incomplete two-period crossover trials with SAS PROC MIXED Jochen Müller-Cohrs source 8
SESUG 2006 Graphics for Statistical Concepts and Data Display David A. Dickey source 19
WUSS 2005 Using Proc Mixed to Model Daytime Log-Cortisol Slopes Eric Neri,
Helena Chmura Kraemer,
Arthur M. Noda,
Yung Wang		 source 4
SUGI 2005 Guidelines for Selecting the Covariance Structure in Mixed Model Analysis Charles D. Kincaid source 8
SUGI 2004 Fitting Longitudinal Mixed Effect Logistic Regression Models with the NLMIXED Procedure Peter H. Van Ness,
John R. O'Leary,
Amy L. Byers,
Terri R. Fried,
Joel A. Dubin		 source 7
SUGI 2004 Repeated Measures Modeling with PROC MIXED E. Barry Moser source 20
SESUG 2003 Comparison of PROC MIXED and PROC GLM for Analysis of Repeated Measures Data Hossein N. Yarandi source 6
PharmaSUG 2003 Using Model Fitting Information and PROC PLOT to Select the Type of Variance-Covariance Structure for Repeated Measures Radhi Abdulnabi 8
SUGI 2003 An Introduction to the Analysis of Mixed Models Dallas E. Johnson source 4
SUGI 2001 Approximations to Distributions of Test Statistics in Complex Mixed Linear Models Using SAS PROC MIXED G. Bruce Schaalje source 6
SCSUG 2000 Multi-Level Intervention Study Data and PROC MIXED Tom Bohman 13
SUGI 2000 Mixed-Up Mixed Models: Things That Look Like They Should Work But Don't, and Things That Look Like They Shouldn't Work But Do Robert M. Hamer,
Pippa M. Simpson		 source 8
SESUG 1999 Analysis of Longitudinal Data: Comparison between PROC GLM and PROC MIXED Maribeth H. Johnson source 6
MWSUG 1999 Longitudinal Data Analysis Repeated-Measure ANOVA and Mixed Models Nancy E. Briggs,
Ching-Fan Sheu		 6
SUGI 1997 Model Selection in Linear Mixed Effects Models Using SAS PROC MIXED Long Ngo,
Richard Brand		 source 6
WUSS 1996 Repeated Measures Analysis with the SAS System Kathleen Kierman source 10
MWSUG 1995 Discussion of the Comparison of GLM and MIXED Procedures for a Repeated Measures Design: One Within and One Between Subjects Factor Michelle Secic 6
SUGI 1995 Comparing the SAS GLM and MIXED Procedures for Repeated Measures Ming Chang,
Russell D. Wolfinger		 source 11
SUGI 1995 Conducting Linear Growth Curve Analysis with the SAS System Laura Ichikawa,
William E. Barlow		 source 6
SUGI 1994 Introduction to Repeated Measures William G. LeBlanc source 9
SEUGI 1993 EEG Multi-variate Traces Analysed Using PROC MIXED Tracy Parker source 10
SUGI 1990 A SAS Macro for Testing for Compound Symmetry and the Hunyh-Feldt Condition Richard R. Allen source 3
SUGI 1990 Analysis of Covariance: Repeated Measures and Split-Plot Designs Gilda P. Pareja source 5
SUGI 1989 Multivariate Models for the Analysis of Crossover Experiments Vernon M. Chinchilli,
Ronald K. Elswick		 source 5
SUGI 1986 Tukey-Kramer and Dunnett Procedures Based on the LSMEANS Statement John M. Koester,
Kathleen Mellars,
Harji I. Patel		 source 6
SUGI 1980 Analysis of Repeated Measures Experiments: One- and Two-way Classifications Louis Bonus,
Harji I. Patel		 source 6

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