• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 10 matches

• 2023
• 
  Can Meng, Mary Ryan, Paul J. Rathouz, Elizabeth Turner, John S. Preisser, Fan Li:
  ORTH.Ord: An R package for analyzing correlated ordinal outcomes using alternating logistic regressions with orthogonalized residuals. Comput. Methods Programs Biomed. 237: 107567 (2023)
• 
  Ying Zhang, John S. Preisser, Fan Li, Elizabeth Turner, Mark Toles, Paul J. Rathouz:
  GEEMAEE: A SAS macro for the analysis of correlated outcomes based on GEE and finite-sample adjustments with application to cluster randomized trials. Comput. Methods Programs Biomed. 230: 107362 (2023)
• 2021
• 
  Tracie L. Shing, John S. Preisser, Richard C. Zink:
  GEECORR: A SAS macro for regression models of correlated binary responses and within-cluster correlation using generalized estimating equations. Comput. Methods Programs Biomed. 208: 106276 (2021)
• 2017
• 
  Xiaoming Gao, Todd A. Schwartz, John S. Preisser, Jamie Perin:
  GEEORD: A SAS macro for analyzing ordinal response variables with repeated measures through proportional odds, partial proportional odds, or non-proportional odds models. Comput. Methods Programs Biomed. 150: 23-30 (2017)
• 2014
• 
  Kunthel By, Bahjat F. Qaqish, John S. Preisser, Jamie Perin, Richard C. Zink:
  ORTH: R and SAS software for regression models of correlated binary data based on orthogonalized residuals and alternating logistic regressions. Comput. Methods Programs Biomed. 113(2): 557-568 (2014)
• 2007
• 
  John S. Preisser, Jamie Perin:
  Deletion diagnostics for marginal mean and correlation model parameters in estimating equations. Stat. Comput. 17(4): 381-393 (2007)
• 2006
• 
  Bradley G. Hammill, John S. Preisser:
  A SAS/IML software program for GEE and regression diagnostics. Comput. Stat. Data Anal. 51(2): 1197-1212 (2006)
• 2005
• 
  John S. Preisser, Daniel I. Garcia:
  Alternative computational formulae for generalized linear model diagnostics: identifying influential observations with SAS software. Comput. Stat. Data Anal. 48(4): 755-764 (2005)
• 2000
• 
  Bahjat F. Qaqish, John S. Preisser:
  7 Generalized linear models for independent and dependent responses. Bioenvironmental and public health statistics 2000: 193-222
• 1997
• 
  William P. Moran, Catherine H. Messick, James L. Wofford, John S. Preisser, G. John Chen, Arden Sheehan, Dorothy L. Currin, Greg Russell, Mark Wright, Ramon Velez:
  Reducing Acute Care Using a Community Care Coordination Network. AMIA 1997