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central tendency

28 papers and 2 presentations; 29 titles.

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Conference × Year × Title × Authors Extras Pages
PHUSE APAC 2026 Advancing Clinical Trial Analysis with Trimmed Means: Estimands, Intercurrent Events, and Regulatory Alignment Prasanth Palanisamy source
presentation source
9
SAS Explore 2022 Leveraging KT Charts with Streaming Data [video] Byron Biggs,
Sergiy Peredriy
source
youtube
PHUSE EU 2020 Inlier Analysis Using Mahalanobis Distance in Central Monitoring [presentation] Abhyuday Chanda source
video
19
SCSUG 2019 Explore your data before you rush to analysis, you will thank me later: explorations in cross section data Steven C. Myers source 28
MWSUG 2019 Explore your data before you rush to analysis, you will thank me later: explorations in cross section data Steven C. Myers 28
MWSUG 2019 Profiling hospital length of stay using the mode Anne Cain-Nielsen,
Scott Regenbogen
1
WUSS 2018 Better than Average: Calculating Geometric Means Using SAS Kim Roenfeldt source 9
PharmaSUG 2018 Using JMP Scripting Language (JSL) to create an application interface for automated analysis of Lab Data in Clinical Trial Dongsun Cao source 11
SESUG 2016 Geospatial Analysis with PROC GMAP Michael Jadoo source 19
PharmaSUG 2016 -The car is in the shop but where are the mechanics?- The future of Standard Scripts for Analysis and Reporting Dirk Spruck,
Jeanina M. Worden
source 3
PHUSE EU 2013 Call for Scripts and Get Involved with FDA/PHUSE Scripts Repository Lina Ulkjaer Jorensen source
presentation source
2
WUSS 2011 SAS Essentials III: Statistics for Hamsters AnnMaria De Mars source 18
SGF 2010 Instant KPI: From Data to Dashboard in Record Time Elliot Inman,
Michael Drutar
source 11
MWSUG 2008 Experimental Learning: Use of JMP Journal in Six Sigma Green and Black Belt Training Amurthur Ramamurthy,
Paul Cook
16
SCSUG 2007 Thinking in Sets Joe Celko 60
MWSUG 2006 Using Biweights for Handling Outliers George W Dombi 9
PharmaSUG 2001 Using SAS Version 8.1 Output Delivery System to Automate Two Sample Test Selection 4
NESUG 1999 Exploratory Data Analysis: Getting to Know Your Data Michael A. Walega 8
NESUG 1998 Using SAS/IML to Calculate L-Moments for the Univariate Distribution Shape Parameters Skewness and Kurtosis Michael A. Walega 8
SESUG 1997 Exploring Data With Base SAS Software Thomas J. Winn Jr. 7
NESUG 1996 The Bisquare Weighted Analysis of Variance: A Technique for Nonnormal Distributions Rebecca Regeth,
William Stine
9
SCSUG 1994 Exploring Data Using Base SAS Software Thomas J. Winn Jr. 6
NESUG 1994 Exploratory Data Analysi When You Don't Have SAS/INSIGHT Michael A. Walega 10
SUGI 1994 Exploring Data With Base SAS Software Thomas J. Winn Jr. source 6
NESUG 1993 Use of PROC IML to Calculate L-Moments for the Univariate Distributional Shape Parameters Skewness and Kurtosis Michael A. Walega 8
SCSUG 1993 Exploring Data Using Base SAS Software Thomas J. Winn Jr. 30
NESUG 1992 Getting to Know Your Data Using SAS Felicia Borglum 7
SUGI 1991 A Factor Analysis of Employee Attitudes about the Internal Operational and Administrative Characteristics of a City Government Anthony C. Waclawski source 8
SUGI 1985 Box Plots and More Box Plots - A Generalized SAS Macro Donna L. Stock source 6
SUGI 1979 Trimmed Means, Medians, and Robust Tests of Homogeneity of Variance Donald J. Henderson source 6

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