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contour plot

36 papers and 2 presentations; 31 titles.

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Conference × Year × Title × Authors Extras Pages
PHUSE US 2021 Visualizing Efficacy Data from Phase II or III Randomized, Double Blind Placebo Controlled Trials [presentation] Munish Mehra source
video
18
PharmaSUG 2018 Using SAS GTL to Visualize Data When there is Too Much of It to Visualize Nathaniel Derby,
Perry Watts
source 22
SGF 2014 Time Contour Plots David J. Corliss source 9
MWSUG 2013 Improved Interaction Interpretation: Application of the EFFECTPLOT statement and other useful features in PROC LOGISTIC Robert G. Downer 8
MWSUG 2013 Time Contour Plots David J. Corliss 11
NESUG 2013 Time Contour Plots David J. Corliss 11
SGF 2012 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
Nathaniel Derby
source 21
SESUG 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
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source 22
SESUG 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
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source 22
WUSS 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Nathaniel Derby source 22
MWSUG 2011 Contour Plots for Time Series Analysis David J. Corliss 11
MWSUG 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
Nathaniel Derby
22
NESUG 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
Nathaniel Derby
22
MWSUG 2010 Visualization with JMP - The Overlay, Spinning, Surface, and Contour Plots Mark Anawis 20
SESUG 2006 Using Contour Plots to Promote EHR Use in Physician Offices Barbara B. Okerson source 6
SUGI 2006 Using Contour Plots to Promote EHR Use in Physician Offices Barbara B. Okerson source 6
SUGI 2005 Mixture Experiments and Their Applications in Agricultural Research Khorsand Bondari source 8
SESUG 2004 Spatial Statistics Using the SAS Bridge for ESRI Patricia B. Cerrito,
Carol Hanchette,
William Dakan,
George R. Barnes,
Robert Forbes
source 15
SUGI 2002 Applied Geostatistics with JMP Andy Mauromoustakos,
Kevin C. Thompson
source
VIEWS 2001 Visualisation in SAS [presentation] Ian Sedgwick 28
SEUGI 2001 The Data Warhousing Process in the Development of Traffic Emission Information System of ATENA Project in Naples Giovanni Meccariello,
Livia Della Ragione,
Mario Rapone
source 12
SUGI 1999 Geostatistics Using SAS Software Kate Ricci source 6
SUGI 1999 The SAS ADX Interface - Designing the Future Stewart L. Fossceco source 9
SUGI 1999 Using Macros to Construct Overlaid Contour Plots for Response Surface Optimization David J. Meade,
Scott Lacey
source 6
SESUG 1998 INFOIlMA TION J!JsUALLZA TION Using.JMF' for Design of Experiments and Variability Analysis for Semiconductors William R. Gjertsen 7
SUGI 1997 Multiple Response Optimization using JMP Daniel J. Obermiller source 7
SUGI 1997 Response Surface Optimization Using JMP Software Melvin T. Alexander source 8
SESUG 1995 Techniques for Optimizing Response Surfaces Randall D. Tobias 6
SUGI 1994 Another Point of View: Color Stereographic Projections for Machine Capability Studies Christopher L. Bonar source 6
SUGI 1993 Graphical Evaluation of Product Characteristics Melissa A. Durfee source 6
NESUG 1991 Graphical Evaluation of Product Characteristics Melissa A. Durfee 6
SUGI 1991 A Procedure for Deciding Which Treatments to Accept in a Screening Study Involving Pseudo-Bernoulli Data Ralph A. DeMasi,
Dana Quade
source 7
SUGI 1991 Using Experimental Design to Optimize SAS Performance on the Personal Computer Joe N. Hockman source 8
SUGI 1988 Best Presentation of Data-Color Linda W. Blazek,
Douglas Scott
source 7
SUGI 1988 CADAE: Computer-assisted Design and Analysis of Response Surface Experiments Mark J. Levine source 4
SUGI 1987 Experiences with Teaching Experimental Design Using the SAS System for Personal Computers Robert A. McLean,
Richard D. Sanders
source 8
SUGI 1984 Using the SAS/GRAPH Product for the Display of Environmental Matrices James R. Carter,
Robert A. Muenchen
source 6
SUGI 1978 Response Surface Contour Plotting in SAS Daniel M. Chilko source 4

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