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relative risk

115 papers and 5 presentations; 110 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 Stress Testing Your Findings: E-Values and Quantitative Bias Analysis in SAS Mehrnaz Siavoshi source 13
PHUSE US 2026 An RShiny App for Real-Time Continuous Safety Monitoring in Post-POC Trials: A Bayesian Approach to Decision-Making Jinquan Wu source
presentation source
11
PHUSE US 2026 Enhancing ISS Analyses with the Continuity-Corrected CMH Method: An SAS-Based Solution for Zero-Event Strata Ji Qi,
Kaixiang Li
source
presentation source
5
PHUSE EU 2025 Evaluating the Use of Real-World Data (RWD) as a Synthetic Control Group: A Statistical Approach Vasiliki Economou,
Dimitrios Kounelis
source
poster source
17
PharmaSUG CN 2024 Application of I&I Late Phase in Programming Renxiang Wang source 15
PharmaSUG 2023 Guidelines for the Statistical Analysis in German Dossier Submissions Meiling Gao,
Xi Qian,
Hui Mao
source 8
PHUSE US 2022 Volcano Plot for Adverse Event Analysis in R [presentation] Kamleshkumar Patel source
video
15
PHUSE US 2021 Table-based Data Visualizations Using R [presentation] Matthew Kumar source
video
26
PharmaSUG 2021 Dynamic macro using the convergence dataset to generate the Odds Ratio (OR), Risk Ratio (RR) and Risk Difference (RD) per SOC/PT using Genmod procedure Jagadish Katam source 20
PharmaSUG 2021 Using SAS for Forest Plots in AMNOG Meta-Analysis Reporting Jian-An Lu,
Jinwei Yuan
source 10
PHUSE EU 2020 Re-scaling Weights to Effective Sample Size [presentation] Andrea Parodi,
Dimitri Petratchenko
source
video
25
SGF 2020 Fitting Statistical Models with PROC MCMC Mark Ghamsary source 26
SGF 2020 Testing Hypotheses for Equivalence and Non-inferiority with Binary and Survival Outcomes Joseph C. Gardiner source 23
SGF 2020 Time After Time: D-I-D and ITS Models in SAS Margaret Warton source 21
PHUSE EU 2019 Incidence Density Sampling for Nested Case-control of Study Designs Rachel Tham,
Quratul Ann
source
presentation source
12
SGF 2019 Thirteen Statistics Every Biostatistician Should Know AnnMaria De Mars source 20
PHUSE EU 2018 Adverse Event Data - gRaphically Lina Rajput,
Prajakta Chitale
source
presentation source
10
PHUSE EU 2018 Forest Plots in Survival Subgroup Analyses Michael Brockmann,
Julia Benzing
source
presentation source
11
PHUSE EU 2018 Safety Signal Detection Visualisations Using Spotfire Including R Michaela Mertes source
presentation source
9
WUSS 2018 Oops, I D-I-D It Again! Advanced Difference-in-Differences Models in SAS Margaret Warton,
Melissa Parker
source 17
PHUSE US 2018 Data Visualization for Data Monitoring Committees for Clinical Trials [presentation] Adam Hamm source 14
SGF 2018 Insights into Using the GLIMMIX Procedure to Model Categorical Outcomes with Random Effects Kathleen Kiernan source 23
SESUG 2017 Meta-Analysis and Matrix Multiplication: Adapting an IML-Based Macro for DerSimonian and Laird's Error Calculation to use Base SAS Venita DePuy source 16
SESUG 2017 The %FRED Macro-Finding Risk in Education Data Fred Edora source 6
PharmaSUG 2017 Multinomial Logistic Regression Models With Sas Proc Surveylogistic Marina Komaroff source 7
PharmaSUG 2016 Preparing the Data to Ensure Correct Calculation of Relative Risk Ravi Kankipati,
Abhilash Chimbirithy
source 13
SGF 2016 The Baker's Dozen: What Every Biostatistician Needs to Know AnnMaria De Mars source 17
WUSS 2015 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson
source 12
WUSS 2015 Yes, PROC FREQ does that! AnnMaria De Mars source 15
SGF 2015 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson
source 12
SGF 2015 Equivalence and Noninferiority Testing Using SAS/STAT Software John M. Castelloe,
Donna Watts
source 23
MWSUG 2014 Up Your Game with Graph Template Language Layouts Sanjay N. Matange 20
PharmaSUG CN 2014 Calculation of Confidence Intervals for Odds Ratio and Binomial Ratio Using StatXact PROCs Halimu Haridona 7
WUSS 2014 Practice Pattern Instrumental Variables for Comparative Effectiveness Carol Conell,
Alexander C. Flint
source 15
PharmaSUG 2014 Up Your Game with Graph Template Language Layouts Sanjay N. Matange source 20
PharmaSUG 2014 Using SAS to Calculate and Compare Adjusted Relative Risks, Odds Ratios, and Hazard Ratios Besa Smith,
Tyler C. Smith
source 23
SGF 2014 Automatic and Efficient Post-Campaign Analyses By Using SAS Macro Programs Justin Jia,
Amanda Lin
source 12
SGF 2014 Risk Factors and Outcome of Spinal Epidural Abscess from Incident Hemodialysis Patients from the United States Renal Data System between 2005 and 2008 Chan Jin,
Jennifer White,
Rhonda Colombo,
Stephanie Baer,
Usman Afza,
M. Kheda,
Lu Huber,
Puja Chebrolu,
N. Stanley Nahman,
Kristina Kintziger
source 4
SGF 2014 Up Your Game with Graph Template Language Layouts Sanjay N. Matange source 20
WUSS 2013 A Tutorial on PROC LOGISTIC Arthur X. Li source 19
WUSS 2013 Proper Estimation of Relative Risk Using PROC GENMOD in Population Studies Kechen Zhao source 14
SESUG 2013 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson
source 12
MWSUG 2013 A Tutorial on PROC LOGISTIC Arthur X. Li 19
MWSUG 2013 Analyzing Categorical Variables from Complex Survey Data Using PROC SURVEYFREQ Taylor Lewis 20
PharmaSUG 2013 Implementation of Breast Cancer Risk Assessment Tool using SAS Yuqin Li,
Lihua Chen,
Xiaohai Wan,
Alan Chiang
source 8
SGF 2013 Assessing Drug Safety with Bayesian Hierarchical Modeling Using PROC MCMC and JMP Richard C. Zink source 13
SGF 2013 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson
source 12
NESUG 2012 A SAS Program to Construct Simultaneous Confidence Intervals of Relative Risk for Multiple Adverse Events Xiaoli Lu 6
SCSUG 2012 Net Present Value Model Approach Jingjing Qu source 7
WUSS 2012 PROC FREQ Is More Than Just Simply Generating a 2-by-2 Table Wuchen Zhao source 11
SGF 2012 Effect Modification, Confounding,Hazard Ratio, Distribution Analysis, and Probability of Non-normal Data for Head Neck Cancer Manojkumar B Agravat source 40
SCSUG 2011 PROC SURVEYFREQ: Why Do a Three Way Table in SAS When We Want Two Way Table Information? Hemalkumar Mehta source 14
SESUG 2011 Analysis of a Binary Outcome Variable Using the FREQ and LOGISTIC Procedures Arthur X. Li source 18
WUSS 2011 Fitting latency models in epidemiological studies Bryan Langholz source 7
PHUSE EU 2011 JMP Clinical for the Expl oration of Legacy studies Robert Eric Huisden source
poster source
4
MWSUG 2011 Driving Clinical Safety Reviews with Data Standards Geoffrey A. Mann 7
SGF 2011 Driving Clinical Safety Reviews with Data Standards Geoffrey A. Mann source 7
SGF 2011 MCPOWER: a Flexible Macro Suite for Generating Monte Carlo Power Estimates for Linear, Logistic, and Poisson Regression Models Ken Kleinman source 5
SGF 2011 Using SAS Procedures FREQ, GENMOD, LOGISTIC, and PHREG to Estimate Adjusted Relative Risks: A Case Study Jiming Fang source 11
NESUG 2010 An efficient way to create graphs in SAS 9.2: Utilizing SG procedures and GTL Yunzhi Ling 12
PHUSE EU 2010 Statistical Graphics for Review and Reporting in Clinical Development Kerstin Pietzko,
Michael O'Connell
source
poster source
12
MWSUG 2010 Evaluation of Methods to Determine Optimal Cut Points for Predicting Mortgage Default Valentin Todorov,
Douglas Thompson
11
WUSS 2008 Demystifying Popular SAS Procedures. Lisa Smith source 17
PHUSE EU 2008 Drug Safety Reporting - now and then David J. Garbutt source 23
PHUSE EU 2008 Statistically guided review of safety data in clinical trials Michael O'Connell,
Harry Southworth
source 12
NESUG 2008 Try, Try Again: Replication-Based Variance Estimation Methods for Survey Data Analysis in SAS 9.2 Pushpal K. Mukhopadhyay 16
PharmaSUG 2008 Annotate facilitates data-driven graphs Meera G. Kumar,
Jeffrey Cortez
5
SGF 2008 Try, Try Again: Replication-Based Variance Estimation Methods for Survey Data Analysis in SAS 9.2 Anthony B. An,
Pushpal K. Mukhopadhyay,
Randall D. Tobias,
Donna L. Watts
source 16
NESUG 2007 Butting Heads on Matched Cohort Analysis Using SAS Software Melvin T. Alexander 12
WUSS 2007 Health Outcomes Research Using Time-to-Event Analytic Approaches Tyler C. Smith,
Besa Smith
source 22
PHUSE EU 2007 Bayesian Modelling with SPLUS and the S+flex Bayes library Andrew Jack,
Dawn Woodard
source 11
PharmaSUG 2007 Clinical Adverse Events Data Analysis and Visualization Shi-Tao Yeh 12
SGF 2007 A SAS Macro for Automating the Change-In-Estimate Strategy for Assessing Confounding Julius Ta,
Myduc L. Atashili
source 10
SUGI 2006 Using SAS to Investigate Effect Modification Peter H. Van Ness,
Heather G. Allore
source 10
WUSS 2005 Graphing the Probability of Event as a Function of Time Using Survivor Function Estimates and the SAS System's PROC PHREG Tyler C. Smith,
Besa Smith
source 18
SUGI 2005 Contrasting Programming Techniques for Summarizing Voluminous SAS Output Using the SAS Output Delivery System (ODS) Stuart D. Long source 17
NESUG 2004 Contrasting programming techniques for summarizing voluminous SAS output using the SAS Output Delivery System (ODS) (PROC FREQ as an example) Stuart D. Long,
Lawrence Park
10
WUSS 2004 Kaplan Meier And Cox Proportional Hazards Modeling: Hands On Survival Analysis Tyler C. Smith,
Besa Smith
source 14
SUGI 2004 Sample-Size Analysis in Study Planning: Concepts and Issues, with Examples Using PROCs POWER and GLMPOWER Ralph G. O'Brien,
John M. Castelloe
source 12
WUSS 2003 Presenting Logistic Regression Models to Non-Statisticians: Adjusted Probabilities and Adjusted Risk Ratios David J. Pasta,
Miriam G. Cisternas
source 4
SESUG 2003 Contrasting programming techniques for summarizing voluminous SAS output using the SAS Output Delivery System (ODS) (PROC FREQ as an example) Stuart D. Long,
Lawrence Park
source 10
SUGI 2003 Survival Analysis Using Cox Proportional Hazards Modeling for Single and Multiple Event Time Data Tyler C. Smith,
Besa Smith,
Margaret A. K. Ryan
source 8
WUSS 2002 Doing More with Proce FREQ Using Options and ODS Richard Severino source 13
PharmaSUG 2002 Recovering Lost Lines: Using the Whole Page with Proc Report Richard R. Allen 6
WUSS 2001 A Survival Analysis from the Ground Up, Using Cox Proportional Hazards Modeling Tyler C. Smith,
Besa Smith,
Margaret A. K. Ryan
source 8
WUSS 2001 Computation of expected risk rations in a longitudinal study of sexually transmitted diseases in per-contact risk of HIV using SAS/IML Jesse Albert Canchola,
Sally Blower
source 5
SUGI 2001 Survival Analysis and the Application of Cox's Proportional Hazards Modeling Using SAS Tyler C. Smith,
Besa Smith
source 9
WUSS 2000 PROC FREQ: It's More Than Counts Richard Severino source 10
SEUGI 2000 SAS Software for the Analysis of Epidemiologic Data [presentation] Hans-Peter Altenburg source 39
SUGI 2000 An Application for the Analysis and Visualization of Disease Incidence Data Paul Nicholson,
Deborah Allon,
Estelle A. Gilman
source 9
SUGI 2000 PROC FREQ: It's More Than Counts Richard Severino source 10
SEUGI 1999 An application for the analysis and visualisation of disease incidence data Deborah Allon,
Estelle Gilman,
Paul Nicholson
source 9
SEUGI 1998 Survival analysis models in health care and their use for predictions of mortality Jifi Vondracek,
Keith Binks,
Krystof Eben
source 6
SUGI 1998 A SAS Macro to Calculate Exact Confidence Intervals for the Difference of Two Proportions Paul R. Coe source 6
SUGI 1998 Skaff and Jeff A. Sloan Design and Analysis of Equivalence Clinical T rials V ia the SAS System Pamela J. Atherton source 7
NESUG 1997 Saving Trees and Time - A SAS Macro for Testing and Reporting the Association Between Multiple Candidate Variables and a Single Binary Variable Christianna S. Williams 9
MWSUG 1997 An Introduction to Survival Analysis Linda M. Quinn 12
SEUGI 1997 Analysing the incidence of Leukaemia in England and Wales David Rowland,
Deborah Allon,
Paul Nicholson,
Richard McNally
source 9
SESUG 1996 sl4tistia Dale Preston 7
MWSUG 1996 A Set of SAS Macros for Producing Statistical Reports Greg A. Grandits 10
SEUGI 1996 Graphical aspect of meta-analysis using SAS/GRAPH software and its specific annotate Angelo Tinazzi,
Fabrizio Carinci,
Valter Torri
source 15
SEUGI 1995 A Survival Analysis on Critical Components of Nuclear Power Plants Valerie Durbec source 9
SEUGI 1995 Model Building for the Cox Proportional Hazards Model with the SAS System Richard Vonk source 12
SUGI 1995 A SAS Macro for Evaluation of Survival Time Data Involving Treatment Conversion Using the Mantel-Byar Method Eric T. Sun,
Ching-Chang Hwang
source 6
SEUGI 1994 Variants of the Attributable Risk in a Multi-factorial Situation Theory and Computational Realisation Olaf Gefeller source 11
SUGI 1994 Application of Random-Effects Model for Categorical Data to Antiemetic Clinical Trials in Cancer Patients Regina Louie,
Alex Yaroshinsky
source 5
NESUG 1993 A Macro for Computation of Incidence Density Ratios Malla R. Rao,
John Clemens
2
SEUGI 1993 Support of Statistical Consulting Using SAS Software Hans-Peter Altenburg source 11
SUGI 1992 Do We Always Need Clinical Stratification in Multicenter Clinical Trials? Results of a Simulation Study Roland Brandmaier,
U. Aydemir,
H. Ansari,
J. Hasford
source 6
NESUG 1991 A SAS/IML Routine to Calculate SPMR Relative Risk Confidence Bounds Jimmy Thomas Efird 2
SEUGI 1991 Attributable Risk Estimation Using SAS/STAT Software Olaf Gefellar source 8
SEUGI 1989 Metaanalysis Objectives And Methods Jean-Claude Peyrieux source 6
SUGI 1988 A SAS Program for Selecting Subjects for a Case-Control Study Gerald A. Kientzel,
Terry L. Leet
source 2
SEUGI 1985 Statistical Enahancements to the SAS System Gerhard Held source 20
SUGI 1985 Comparison of Multivariate Regression Analysis between Logistic Model and the Least Square Model Using SAS Software Jane R. Bratz,
J.S. Kim,
George K. Tokuhata
source 4
SUGI 1985 PROC PECAN - A SAS Procedure Sivaram Kalyandrug,
Jay H. Lubin
source 8
SUGI 1985 SAS Software for Stratified Analysis William M. Stanish source 6
SUGI 1983 PROC MCSTRAT Susanne L. Daood,
James M. Naessens,
Kenneth P. Offord
source 8
SUGI 1980 An Overview of Survival Analysis and SAS Irving K. Hwang source
SUGI 1980 Automated Analysis of Case-Control Data Using the SAS System Elizabeth J. Martin,
Linda Williams Pickle
source 6

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