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simple linear regression

31 papers and 2 presentations; 28 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 Demystifying Regression Analysis Techniques with R Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao		 35
WUSS 2026 Getting Started with Bayesian Analysis [presentation] Danny R. Modlin source 14
PharmaSUG 2026 Regression Analysis Made Easy Using R Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao		 source 32
WUSS 2024 Regression Analysis Made Easy Using SAS Studio Zheyuan (Walter) Yu source 42
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
WUSS 2023 Regression Analysis Made Easy Using SAS Studio Kirk Paul Lafler,
Zheyuan (Walter) Yu,
Nuoer Lu,
Nicklas (Rebel) Yee,
Yanzhang Gavin Chen,
Kai Kang		 source 43
SESUG 2023 Regression Analysis Made Easy Using SAS Studio Kirk Paul Lafler,
Zheyuan (Walter) Yu,
Nuoer Lu,
Daniel Qian,
Kai Kang,
Yanzhang Gavin Chen,
Nicklas (Rebel) Yee,
Yixuan (Jason) Xiang		 source 43
SESUG 2023 Translating Common Data Visualizations from PROC SGPLOT to ggplot2 Austin R. Brown source 11
SGF 2020 Add SGSCATTER, SGPLOT, SGPANEL and SGRENDER Procedures to Your SAS Toolbelt Alex Chaplin source 16
PHUSE US 2020 The Importance of General Linear Models (GLMs) in Clinical Research Ritesh Dhimmar,
Venkata Ikkurthy		 source 12
WUSS 2019 Choosing Wisely: Using the Appropriate Statistical Test for Trend in SAS Christina Park,
Jui-Ting Hsiung,
Melissa Soohoo,
Elani Streja		 source 10
SGF 2018 Getting Started with Bayesian Analysis [presentation] Danny R. Modlin source 14
PHUSE EU 2017 Making Graphs Easier to Validate - The Benefits of ODS Graphics Philip R. Holland source
presentation source		 12
SESUG 2016 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
SGF 2016 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
MWSUG 2015 SAS Software as an Essential Tool in Statistical Consulting and Research Erika Larsen,
Timothy E. O'Brien		 13
WUSS 2015 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
SGF 2014 Healthcare Services Data Distribution, Transformation, and Model Fitting Dawit Mulugeta,
Jason Greenfield,
Tison Bolen,
Lisa Conley		 source 22
SGF 2014 Revealing Human Mobility Behavior and Trips Prediction Based on Mobile Data Records Carlos Andre R. Pinheiro source 14
SGF 2013 Regression of NASCAR: Looking into Five Years of Jimmie Johnson Alex Herrington,
Liuchun Yang,
Yun Gao		 source 20
MWSUG 2012 Modeling Complex Survey Data Taylor Lewis 16
SGF 2012 Introduction to Predictive Modeling with Examples David A. Dickey source 14
MWSUG 2005 Using SAS To Assess Dose Proportionality In Dose Escalation Studies Keith Dunnigan 12
WUSS 2005 Using Proc Mixed to Model Daytime Log-Cortisol Slopes Eric Neri,
Helena Chmura Kraemer,
Arthur M. Noda,
Yung Wang		 source 4
NESUG 2004 ODS for the Statistician Steven M. LaLonde 5
SUGI 2004 SAS Backwards: Helping SAS and SPSS Students Speak the Same Language Joseph J. Guido,
Adam B. Rains		 source 7
WUSS 2003 Regression Diagnostic Plots George C. J. Fernandez source 9
NESUG 2003 SAS Backwards: Helping SAS and SPSS Students Speak the Same Language Joseph J. Guido,
Adam B. Rains		 14
SUGI 2000 Improved Confidence Interval on the Mean Response in Simple Linearizable Regression Mark Carpenter,
Pandu P. Kulkarni		 source 6
PharmaSUG 1998 Using SAS Arrays to Estimate Regression Parameters Tesfaye Liranso,
Hoechst Marion Roussel		 5
SUGI 1994 Neural Networks and Statistical Models Warren S. Sarle source 13
SEUGI 1993 Exploratory Data Analysis Using SAS Software Gerhard Held source 11
SUGI 1993 Exploratory Data Analysis Using SAS Software Greg J. Weier,
Randall D. Tobias		 source 11

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