HOME QUICK SEARCH AUTHORS KEYWORDS HELP BUGS

mahalanobis distance

40 papers and 3 presentations; 42 titles.

Back to keywords

Conference × Year × Title × Authors Extras Pages
PharmaSUG 2026 From Tables to Tolerances: The Evolving Role of Statistical Programmers in Risk-Based Quality Management (RBQM) Vihar Patel source 14
MWSUG 2025 Multivariate Ratio Edits Using Tolerance Intervals [presentation] Daniel Tuyisenge,
Derek Young,
Thomas Mathew
source 26
SESUG 2024 Using PROC PSMATCH for Assembling Parallel Test Forms Tsung-Hsun Tsai,
Yung-Chen Hsu
source 11
PHUSE EU 2020 Inlier Analysis Using Mahalanobis Distance in Central Monitoring [presentation] Abhyuday Chanda source
video
19
SESUG 2020 Outlier Detection and Treatment Ross Bettinger source 29
PHUSE US 2019 A SAS Macro for Variable Ratio Treatment vs. Placebo in Propensity Score Matching Punjita Baranwal,
Prashant Kulkarni
source
presentation source
13
PHUSE EU 2018 Implementing Advanced Analytics and Machine Learning in Risk-based Strategies Rajneesh Patil source
presentation source
3
SESUG 2016 In the Pursuit of Balanced Groups: A SAS Macro for an Adaptive Randomization Test Tyler Hicks,
Jeffrey D. Kromrey
source 9
PharmaSUG 2016 What-s the Case? Applying Different Methods of Conducting Retrospective Case/Control Experiments in Pharmacy Analytics Aran Canes source 8
SGF 2016 Medicare Fraud Analytics Using Cluster Analysis: How PROC FASTCLUS Can Refine the Identification of Peer Comparison Groups Paulo Macedo source
zip
9
SGF 2016 Predicting the Current Market Value of a Housing Unit across the Four Census Regions of the United States Using SAS Enterprise Miner 12.3 Mostakim Tanjil,
Goutam Chakraborty
source
presentation
12
PHUSE EU 2015 Efficient Data Reviews and Quality in Clinical Trials Using CDISC Data Standards Valérie Nedbal source 11
SGF 2015 Using SAS/STAT Software to Implement a Multivariate Aadaptive Outlier Detection Approach to Distinguish Outliers from Extreme Values Paulo Macedo source 12
SESUG 2014 Using SAS/STAT to implement a multivariate adaptive outlier detection approach to distinguish outliers from extreme values Paulo Macedo source 11
SGF 2014 An Intermediate Primer to Estimating Linear Multilevel Models Using SAS PROC MIXED Bethany A. Bell,
Whitney Smiley,
Mihaela Ene,
Genine L. Blue
source 19
SGF 2014 Case Control Matching: Comparing Simple Distance- and Propensity Score-Based Methods Lovedeep Gondara,
Colleen E. McGahan
source 7
SGF 2014 Case-Level Residual Analysis in the CALIS Procedure Catherine Truxillo source 17
WUSS 2013 Matching with Hash Objects Gregory Watson source 6
MWSUG 2013 Adventures in Path Analysis and Preparatory Analysis Brandy R. Sinco,
Phillip L. Chapman
19
SGF 2012 Constructing a Credit Risk Scorecard Using Predictive Clusters Andres F. Gonzalez,
Alejandro Correa Bahnsen,
Ana C. Nieto,
Darwin A. Amezquita
source 13
SGF 2010 Fundamental Diagnostics for Two-Level Mixed Models: The SAS Macro MIXED_DX Bethany A. Bell,
Jason A. Schoeneberger,
Grant B. Morgan,
Jeffrey D. Kromrey,
John M. Ferron
source 12
SESUG 2009 MIXED_DX: A SAS Macro for Two-Level Linear Model Diagnostics Bethany A. Bell,
Grant B. Morgan,
Jason A. Schoeneberger,
John M. Ferron,
Jeffrey D. Kromrey
source 17
WUSS 2009 Discriminant Analysis, a Powerful Classification Technique in Predictive Modeling George C. J. Fernandez source 20
NESUG 2007 Selecting the Appropriate Outlier Detection Technique for Common Industry Applications Kunal Tiwari,
Krishna Mehta,
Nitin Jain,
Ramandeep Tiwari,
Gaurav Kanda
5
SCSUG 2007 SAS Applications in Support of Off-the-shelf, Affordable, WiFi-Controlled Robots Cecil R. Hallum,
Huixing He,
Jason Minter
12
PharmaSUG 2007 A Review of Propensity Score Application in Healthcare Outcome and Epidemiology Guiping Yang 24
PharmaSUG 2007 Promotion Response Analysis in the Pharmaceutical Industry - Lessons to be Learned From Clinical Trials Methodologies Alejandro Jaramillo 12
SGF 2007 Local and Global Optimal Propensity Score Matching Marcelo Coca-Perraillon source 9
PharmaSUG 2006 A Method/Macro Based on Propensity Score and Mahalanobis Distance to Reduce Bias in Treatment Comparison in Observational Study Wuwei Wayne Feng,
Yu Jun,
Rong Xu
11
SUGI 2005 A Macro for Computing Point Estimates and Confidence Intervals for Mahalanobis Distance Kristine Y. Hogarty,
Jeffrey D. Kromrey,
Melinda R. Hess,
John M. Ferron
source 10
SUGI 2005 An Introduction to Quantile Regression and the QUANTREG Procedure Colin Chen source 24
SUGI 2002 Discriminant Analysis, A Powerful Classification Technique in Data Mining George C. J. Fernandez source 9
WUSS 2001 Discriminant Analysis, A Powerful Classification Technique in Data Mining George C. J. Fernandez source 9
SUGI 2001 Escaping Flatland: Chernoff's Faces Revisited Wendy B. Dickinson source 12
SUGI 2001 Techniques for Detection of Cheating on Standardized Tests Using SAS Sean W. Mulvenon,
Ronna C. Turner
source 6
SEUGI 2000 Finding the needle in a haystack: Fraud Detection on million records [presentation] Thierry Van de Merckt source 28
SESUG 1996 Discriminant Analysis via Statistical Packages Carl J Huberty,
Laureen L. Lowman
11
SEUGI 1993 Extensions to Multivariate Descriptive Analysis Yves Roy source 14
SUGI 1990 An Exploratory Data Analysis Approach to Qualitative Response Modeling Using SAS/IML and SAS/GRAPH Software Merwyn L. Elliott,
Ross Hightower,
Caleb Chan
source 6
SUGI 1989 Discriminant Diagnostics Peter A. Lachenbruch,
Yong-Xiao Wang
source 6
SUGI 1988 Multivariate Normal Plotting Using Ordered Mahalanobisn Distances NamJun Kang source 6
SUGI 1985 Multivariate Data Analysis Using the SAS System E. James Harner source 6
SUGI 1983 Robust Discriminant Analysis Anthony A. Billings,
E. James Harner
source 6

Back to keywords