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101 papers and 1 presentation; 95 titles.

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Conference × Year × Title × Authors Extras Pages
SGF 2020 Simulating Data for Complex Linear Models Phil Gibbs,
Kathleen Kiernan		 source 20
SGF 2019 Using SAS Procedures to Fit Rasch Models Tianshu Pan,
Yumin Chen		 source 10
SGF 2018 Using SAS to Fit AmeriFlux Data to Ecosystem Seasonality Models Tracy Song-Brink source 6
MWSUG 2017 AIR Binder 2.0: A Dynamic Visualization, Data Analysis and Reporting SAS Application for Preclinical and Clinical ADME Assays, Pharmacokinetics, Metabolite Profiling and Identification Hao Sun,
Kristen Cardinal,
Richard Voorman		 26
WUSS 2017 Nonlinear Modeling with Big Data in SAS and JMP Chong Ho,
Hyun Seo Lee,
Siyan Gan,
Emily Brown		 source 12
PharmaSUG 2017 AIR Binder: An Automatic Reporting and Data Analysis SAS Application for Cytochrome P450 Inhibition Assay to Investigate DDI Hao Sun,
Kristen Cardinal,
Carole Kirby,
Richard Voorman		 source 8
WUSS 2016 Fitting Threshold Models using the SAS Procedures NLIN and NLMIXED Todd Coffey source 11
PharmaSUG 2016 Programming Support for Exposure-Response Analysis in Oncology Drug Development Peter Lu,
Hong Yan		 source 8
MWSUG 2015 SAS Software as an Essential Tool in Statistical Consulting and Research Erika Larsen,
Timothy E. O'Brien		 13
SGF 2014 Is Nonlinear Regression Throwing You a Curve? New Diagnostic and Inference Tools in the NLIN Procedure Biruk Gebremariam source 16
SGF 2014 Nonnegative Least Squares Regression in SAS Matthew Duchnowski source 5
SGF 2014 SAS/STAT 13.1 Round-Up Bob Rodriguez,
Maura E. Stokes		 source 25
SESUG 2013 Area under a Receiving Operating Characteristic (ROC) Curve: comparing parametric estimation, Monte Carlo simulation and numerical integration Receiver Operating Characteristic source 16
PharmaSUG 2012 Computing Initial Values for Pharmacokinetic ML Nonlinear Regression via genetic algorithms and parallel genetic algorithms Francisco Juretig source 11
SGF 2012 Making Exploration of Nonlinear Models Fast and Easy Using JMP 10 Don McCormack source 8
SGF 2012 Weighted Portmanteau Tests Revisited: Detecting Heteroscedasticity, Fitting Nonlinear and Multivariate Time Series Thomas J. Fisher source 12
SESUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Fang K. Chen		 source 20
WUSS 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes source 20
MWSUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Fang K. Chen,
Ying So		 20
MWSUG 2011 PROC NLMIXED for Basic Non-Linear Regression Keith Dunnigan 12
NESUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes 20
SGF 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Robert N. Rodriguez,
Funda Güneş		 source 20
SGF 2011 Optimization of Gas-Injected Oil Wells Robert N. Hatton,
Ken M. Potter		 source 11
MWSUG 2010 Ad Hoc and Statistical Model Visualization Using JMP, SAS, and Excel Jon T. Weisz 10
MWSUG 2010 Novel Use of SAS Software in Industrial and Biomedical Consulting, Research, and Teaching Timothy E. O'Brien 13
SESUG 2010 Ad Hoc and Statistical Model Visualization Using JMP, SAS, and Excel Jon T. Weisz source 10
SGF 2010 Ad Hoc and Statistical Model Visualization Using JMP, SAS, and Excel Jon T. Weisz source 10
PharmaSUG 2009 Fitting Compartmental Models to Multiple Dose Pharmacokinetic Data using SAS PROC NLMIXED Jing Su,
Peng Sun,
Xiaodong Li,
Alan H. Hartford		 9
MWSUG 2008 So, Who's Afraid of Nonlinear Regression? Heinz Plaumann 14
WUSS 2007 Data Mining Using SAS Enterprise Miner Randall Matignon source 10
MWSUG 2006 Using Biweights for Handling Outliers George W Dombi 9
SUGI 2004 Repeated Measures Modeling with PROC MIXED E. Barry Moser source 20
WUSS 2003 Advanced Analytics with Enterprise Guide Catherine Truxillo,
Stephen McDaniel		 source 9
PharmaSUG 2003 Using SAS Software for a Numerical Approximation and the Area Under a Curve Calculation Shi-Tao Yeh,
Ellen Forman		 6
SUGI 2003 Estimating Standard Errors for CLASS Variables in Generalized Linear Models Using PROC IML David J. Pasta,
Miriam G. Cisternas		 source 6
SUGI 2003 Teaching Statistical Methods Courses with Case Studies and JMP Andy Mauromoustakos source 6
NESUG 2002 Practice of SAS Logistic Regression on Binary Pharmacodynamic Data - Problems and Solutions Alan Xiao 5
NESUG 2002 Using Trapezoidal Rule for the Area under a Curve Calculation Shi-Tao Yeh 5
SUGI 2002 An Explicit Functional Form Specification Approach to Estimate the Area under a Receiver Operating Characteristic (ROC) Curve Paul W. Stober,
Shi-Tao Yeh		 source 6
SUGI 2002 Applied Geostatistics with JMP Andy Mauromoustakos,
Kevin C. Thompson		 source
SUGI 2002 SAS Implementation of Nonparametric Smoothing and Lack-of-Fit Based on Smoothers George F. von Borries,
Jeffrey D. Hart		 source 5
PharmaSUG 2001 Fitting Gompertz Nonlinear Mixed Model to Infancy Growth Data with SAS version 8 Procedure NLMIXED Cindy Q. Song,
Olga M. Kuznetsova		 8
PharmaSUG 2001 Nonlinear Least Squares Analysis of HIV Viral Load Data - Aids in Parameter Estimation Peter P. Gaccione 8
SUGI 2001 Using SAS/IML Software for Solving Non-Standard Optimization Problems in Growth Modeling and Optimal Design Inna Perevozskaya source 6
WUSS 2000 SAS STAT applications in Econometrics Mathura Thillainathan,
George C. J. Fernandez		 source 10
SEUGI 1999 A user friendly interface for simultaneuos non-linear regression on sets of metallurgical deformation curves [presentation] Ronald Mulder source 20
SEUGI 1999 S.O.C.R.A.T.E.S. Simultaneous Optimal Control by Recursive and Adaptive Estimation Systsem Giacomo Patrizi source 12
SUGI 1998 Nonlinear Mixed Effects Models, a Tool for Analyzing Repeated Measurements: A Brief Tutorial Using SAS Software Peter P. Gaccione,
M.S. Blanchard		 source 6
SUGI 1997 Quantitation of Interactive Effects between Anticancer Agents Using SAS Macros and SAS/GRAPH Yalan Wang,
Jun Zuo,
M. Guill. Wientjes		 source 6
SUGI 1997 SAS/INSIGHT Software or JMP Software: A Comparison Andy Mauromoustakos source 3
NESUG 1996 The Bisquare Weighted Analysis of Variance: A Technique for Nonnormal Distributions Rebecca Regeth,
William Stine		 9
SEUGI 1996 Pricing and reserving in the general insurance industry John Hansen,
Christian Larsen		 source 10
SEUGI 1996 Statistical models for thermal aging of steel materials in nuclear power plants Mattieu Persoz source 11
SUGI 1996 Estimating Optimal Transformations in Non-Linear Models Nicholas Scott Cardell,
Dan Steinberg		 source 6
SUGI 1996 Using SAS Software to Assess and Adjust for Nonlinearity in Nonlinear RegreSSion Models Timothy E. O'Brien,
Ye Wang		 source 10
MWSUG 1995 Determining The Binding Constants of Biologically Active Compounds to Nucleic Acids: A Nonlinear Regression Approach David E. Booth 17
NESUG 1995 Estimation of Nonlinear Models: A Computational Review D. Das Purkayastha 8
SUGI 1995 Obtaining and Verifying Optimal Designs for Nonlinear Regression Models Using SAS Software Timothy E. O'Brien source 6
NESUG 1994 Best Initial Values for Nonlinear Estimation: Stripping Algorithm Implemented as SAS/IML Routine Ekaterina Gibiansky 5
SEUGI 1994 Using PROC MIXED on Animal Growth Curves Some Initial Experiences Graham Healey source 10
SUGI 1994 Interpreting Complex Nonlinear Models Lawrence C. Marsh,
Maureen A. McGlynn,
Debopam Chakraborty		 source 5
SUGI 1994 Neural Networks and Statistical Models Warren S. Sarle source 13
SUGI 1994 Nonlinear Regression Analysis and Nonlinear Simulation Models Donald Erdman,
Mark Little		 source 9
SUGI 1994 Programming the NUN Procedure Using the Negative Binomial Yield Model for ASIC Semiconductors Jon A. Patrick source 4
MWSUG 1993 Generalized Least Squares Estimation in Heteroscedastic Linear Models George W. Pasdirtz 7
SEUGI 1993 Simulation Models for Business Planning and Economic Forecasting Liza Evans source 7
SUGI 1993 An Exact Confidence Interval for the Ratio of Means Using Nonlinear Regression Tapon Roy source 6
SUGI 1993 Estimation of the Lorenz Curve and Concentration Ratio Shi-Tao Yeh source 5
SUGI 1993 Simulation Models for Business Planning and Economic Forecasting Donald Erdman source 7
SEUGI 1992 Using SAS Macros and PROC IML to Create Special Designs for Use in Generalised Linear Models John Hendrickx source 22
SUGI 1992 Diagnostics for Model Selection in Nonlinear Regression Based on the Concept of Closeness to Linearity Using SAS/IML Software Suzette Blanchard,
Martin S. Levy		 source 3
SUGI 1992 Graphical Aids for Summarizing Inferential Results of Nonlinear Regression William J. Price,
Bahman Shafii		 source 6
SUGI 1992 Influence Measures in Nonlinear Regression Tapon Roy source 4
SUGI 1992 Using the NLIN Procedure to Combine Estimates of Relative Potency Stan Altan,
Jaya Natarajan		 source 6
MWSUG 1991 Forecasting Exogenous Variables Using SAS PROC NLIN Galip Feyzioglu,
David L. Wang		 6
SUGI 1991 About JMP 2.0 John P. Sall,
Katherine Ng,
Michael Hecht,
Ann Lehman		 source 6
SUGI 1991 SAS Software Automated IC50 Parameter Estimation with Repeated Measures Data Dorene M. Emmrich,
Linda Archer,
Greg Silva,
Charles R. Villarrubia		 source 3
SUGI 1991 The Techniques to Improve Nonlinear Regression Curve Fit Shi-Tao Yeh source 4
SUGI 1990 Alternative Methods of Estimating Piecewise Linear and Higher Order Regression Models Using SAS Software Lawrence C. Marsh,
Manjula Maudgal,
Jaishankar Raman		 source 5
SUGI 1990 Confidence Intervals and Curvature Measures in Nonlinear Regression Using the IML and NLIN Procedures in SAS Software Danny L. Kugler,
E. Henry Lee		 source 6
SUGI 1990 Estimating Standard Errors for a Proposed Survey Samuel M. Slowinski,
Hank Leddon		 source 6
SUGI 1989 Nonlinear Measurement Error Model Parameter Estimation Using the SAS System Daniel Schnell source 6
SUGI 1989 Nonlinear Regression Analysis of a Biexponential Model Using Various Methods of the NLIN Procedure of SAS Software J. Paul Costiloe,
Andrew J. Cucchiara,
R. B. Deal Jr.,
Susan J. Kenny		 source 6
SEUGI 1988 Confidence Regions for Non-Linear Regression Graham Healy source 8
SUGI 1988 Robust Estimation Using SAS Software Will A. Sullivan,
Liangg Yuh		 source 6
SUGI 1988 Using the NLIN Procedure to Fit Segmented Regression Models: A Tutorial George A. Milliken source 10
SUGI 1987 Effect of Iteratively Reweighted Least Squares (IRLS) on Teaching A Course in Quantal/Categorical Response Rita C. Berg,
James E. Dunn		 source 6
SUGI 1987 Using PROC NLIN to Develop Capture Ratios Lynn Chapman source 8
SUGI 1986 Simulations to Compare Voting Rules: An Application of SAS Macros and a Fast Numerical Approximator Roger S. Cohen source 7
SUGI 1986 Using PROC NLIN for Time Series Prediction Wayne Fuller source 6
SUGI 1985 Repeated Measures in Nonlinear Models Ronald W. Helms,
Keith E. Muller		 source 5
SUGI 1984 A Macro for Fitting Nonlinear Models to Poisson Distributed Data Edward L. Frome,
Richard W. McLain		 source 6
SUGI 1984 Stagewise Experimental Design Techniques for Nonlinear Models Thomas J. Bzik source 9
SUGI 1984 Using SAS Software for Fatigue Life Prediction of Mechanical Springs Robert L. Woell source 5
SUGI 1983 A Note on Using PROC NLIN for Function Optimization Marvin D. Troutt source 2
SUGI 1983 A Procedure for Estimating Parameters in Nonlinear Random Models Paulette Johnson,
George A. Milliken		 source 4
SUGI 1983 Analyzing Congressional Career Patterns Using SAS Robert G. Brookshire,
Claudia C. Putnam		 source 7
SUGI 1982 Multidimensional Scaling by Least Squares Cynthia H. Null,
Warren S. Sarle		 source 8
SUGI 1981 Estimating the Parameters of the Michaelis-Menten Equation Using SAS Thomas P. Capizzi,
Leonard Oppenheimer		 source 6
SUGI 1979 An Evaluation of Nonlinear Regression Programs C. M. Metzler source 9
SUGI 1978 Nonlinear Model for Pesticide Accumulation in Selected Estuarine Species Lowell H. Bahner,
Jerry L. Oglesby		 source 5
SUGI 1977 A Parsimonious Approach to Data Transformations J. Philip Miller source 5

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