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normality test

41 papers; 35 titles.

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Conference × Year × Title × Authors Extras Pages
PHUSE US 2024 Analysis of Same Objective - Different SAS Procedures: How to Choose a SAS Procedure Wisely for a Statistical Analysis? Pradeep Acharya,
Ephicacy Lifescience		 source
presentation source		 9
SESUG 2023 Longitudinal Analysis of Marital Therapy's Impact on Intimacy in Heterosexual Couples Yaa Awuah,
Mostafa Zahed		 source 19
PharmaSUG 2023 Smart Use of SAS Output System and SAS Macro for Statistic Test Selection Mengxi Wang source 10
SESUG 2022 Using SAS Macro and ODS Output to efficiently examine the descriptive and analytic statistics in epidemiology studies Yue Pan source 7
PharmaSUG 2022 Rita: Automated Transformations, Normality Testing, and Reporting Daniel Mattei source 15
SESUG 2019 Medians/quartiles are shown for continuous data and counts/percentages are shown for categorical data Martha Wetzel source 5
PharmaSUG 2019 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory,
Karlen Bader		 source 21
SESUG 2018 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory,
Henry M. Jackson		 source 22
MWSUG 2018 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory,
Karlen Bader		 22
WUSS 2018 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory source 21
PharmaSUG 2018 Statistician in my Soul. Statistical Questions from SPA Nadiia Hryhorenko source 12
PharmaSUG 2017 Same statistical method different results? Don-t panic the reason might be obvious. Iryna Kotenko source 8
PHUSE EU 2014 Analysis of Time to FDA Medwatch Safety Alert for Therapeutic Monoclonal Antibodies Pavla Kadlecová,
Vid Stanulovic		 source
presentation source		 5
PHUSE EU 2014 Analysis of Time to FDA Medwatch Safety Alert for Therapeutic Monoclonal Antibodies Pava Kadlecova,
Vid Stanulovic		 source
presentation source		 5
SGF 2014 An Investigation of the Kolmogorov-Smirnov Nonparametric Test Using SAS Tison Bolen,
Dawit Mulugeta,
Jason Greenfield,
Lisa Conley		 source 8
SGF 2014 Healthcare Services Data Distribution, Transformation, and Model Fitting Dawit Mulugeta,
Jason Greenfield,
Tison Bolen,
Lisa Conley		 source 22
SGF 2014 Medical Scoring for Breast Cancer Recurrence Nurul Husna Jamian,
Yap Bee Wah,
Nor Aina Emran		 source 13
NESUG 2012 Introducing the FMM Procedure for Finite Mixture Models Maura E. Stokes 22
SGF 2012 Introducing the FMM Procedure for Finite Mixture Models David Kessler,
Allen McDowell		 source 22
SCSUG 2011 An Introductory Look at the Situational Context Inherent in the RBI Using Two Modeling Approaches Ryan Sides source 14
NESUG 2009 Guido's Guide to PROC UNIVARIATE - A Tutorial for SAS Users Joseph J. Guido 18
SESUG 2007 Virtual and Traditional Teams: Are they Really Different? (Development and Validation of a Measure using SAS/STAT) Andrea J Roofe source 12
SGF 2007 Learning What You Didn't Know about Your Data Larry W. Douglass source 16
NESUG 2004 Perusing, Choosing, and Not Mis-using: Non-parametric vs Parametric tests in SAS Venita DePuy,
Paul Pappas		 5
SCSUG 2004 Equipment Data Development Case Study - Bayesian Weibull Analysis Wei Yu 43
SESUG 2004 An Overview of Non-parametric Tests in SAS: When, Why, and How Paul A. Pappas,
Venita DePuy		 source 5
PharmaSUG 2004 Testing Normality of Data using SAS Guangbin Peng 6
SUGI 2004 DATA: "Getting to Know You; Getting to Know All About You" Larry W. Douglass,
Sue E. Douglass		 source 17
SCSUG 2003 Elementary Statistics Using Base SAS Deborah B. Buck 9
WUSS 2002 Multiple Linear Regression Analysis of Total Mercury Levels in Blood and Urine Samples Miki Yamauchi,
George C. J. Fernandez,
Stanley Omaye		 source 6
SUGI 2002 Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician Richard M. Mitchell source 10
NESUG 2001 Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician Richard M. Mitchell 10
PharmaSUG 2001 Using SAS Version 8.1 Output Delivery System to Automate Two Sample Test Selection 4
SUGI 2001 Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician Richard M. Mitchell source 10
NESUG 1999 Applying Familiar Non-Parametric Tests to Evaluation of Neural Network Inputs Susan B. Garavaglia 10
NESUG 1994 Comparison of Feature-Based and Raw Gray-Level Intensity as Pattern-Recognition Discriminators in Image-Processing John S. DaPonte,
Joseph N. Vitale		 8
SUGI 1992 A Bootstrap Evaluation of the EM Algorithm for Censored Survival Data George W. Pasdirtz source 6
SUGI 1983 PROC Paired Bradley J. Dain,
Jon L. Kosanke,
Kenneth P. Offord		 source 2
SUGI 1981 A SAS Macro for Calculating the Quadratic Discriminant Function Charles S. Davis source 7
SUGI 1980 Pre-programmed Routines for an Applied Linear Models Course James A. Calloway,
William L. Seaver		 source 6
SUGI 1977 Producing Kolmogorov-Smirnov Statistics and Plotting Empirical Distributions William R. Gjertsen,
Frank E. Harrell Jr.		 source 7

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