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sensitivity analysis

116 papers and 19 presentations; 129 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 A Weighted Deming Regression SAS Macro Jesse Albert Canchola,
Brahian Urrego,
Natasha Oza		 source 29
WUSS 2026 Stress Testing Your Findings: E-Values and Quantitative Bias Analysis in SAS Mehrnaz Siavoshi source 13
PharmaSUG CN 2026 Handling Missing Data in Analgesia Clinical Trials and Corresponding SAS Implementation Jingbo Zhu,
Jiehan Zhang		 source 17
PharmaSUG 2026 A Statistical Programmer-s Guide to Tipping Point Analysis in SAS Ang Xu source 9
PharmaSUG 2026 Tipping Point Analysis: An Illustration of Sensitivity Analysis on Non-Administrative Censoring for Progression-Free Survival (PFS) Lihui Deng,
Kylie Fan,
Xiaoting Qin		 source 7
PharmaSUG 2026 Women Leadership in AI-Driven Clinical Programming: Navigating Intersectionality and Innovation Lida Gharibvand source 31
PHUSE US 2026 Advancing Precision Medicine and Regulatory Readiness: Data Harmonisation and Statistical Methods for Companion Diagnostics Bridging Studies Ummul Vara Qurratul Ain source
presentation source		 10
PHUSE US 2026 Bridging Analysis and Strategy: The Transformative Role of Statistical Analysts in Drug Development Lingsong Yun source
presentation source		 17
PHUSE US 2026 Deriving Phantom Records in BDS Datasets To Support the FDA's Standard Safety Figures for Missing Data Analysis Guowei Wu,
Ruchitbhai Patel		 source
presentation source		 6
PHUSE US 2026 Framework for Incorporating Estimands within the Statistical Analysis Plan Inderjeet Arora source
presentation source		 9
PHUSE US 2026 Is Complexity Worth It? A Case Study Comparing Multiple Imputation Strategies Elnaz Ghadimi,
David Bushnell		 source
poster source		 4
PHUSE APAC 2026 Advancing Clinical Trial Analysis with Trimmed Means: Estimands, Intercurrent Events, and Regulatory Alignment Prasanth Palanisamy source
presentation source		 9
PHUSE APAC 2026 Beyond Log-Rank: Advanced Survival Analysis for Non-Proportional Hazards in Oncology Trials Jagdish Nikam source
poster source		 7
PHUSE APAC 2026 Enhancing Interpretation of Propensity Score Matching through Advanced Data Visualization in Real-World Studies KiranKumar Vyas,
Umayal Annamalai		 source
presentation source		 7
PHUSE APAC 2026 External Comparator Studies in the Era of Real-World Data Vishal Goriya,
Anshul Sinha,
Gerd Rippin		 source
presentation source		 5
PHUSE APAC 2026 Invisible Influences: Estimands, Assumptions and Sensitivity in Inflammation & Immunologic Trial Interpretation Sukanya Erramachetty Subramanyam source
presentation source		 8
PHUSE APAC 2026 Leveraging Historical Control Data Through Adaptive Bayesian Hierarchical Models Ajoy Mukhopadhyay,
Debarghya Baul		 source
presentation source		 12
PHUSE APAC 2026 Machine Learning Algorithms to Explore the Relationship Between Primary Obsessive-Compulsive Disorder (OCD) and Co-morbid Depression Symptoms Ajay Kumar Singh,
Sabyasachi Mukherjee		 source
presentation source		 12
PHUSE APAC 2026 One-year Urate-Lowering Therapy Adherence and Risk of Major Osteoporotic Fracture: A Target Trial Emulation Study Seong Jun Byun source
poster source		 5
PHUSE APAC 2026 Tipping Point Analysis in R and SAS: A Comparative Approach to Handling Missing Data in Clinical Research Sushil Kale,
Jeet Agrawal		 source
poster source		 7
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
PHUSE EU 2025 Mind the Gap: Imputing Missing Dosing Times in QD & BID Regimens Using ADPPK Guidelines Aschwin van der Giesen,
Gerly van der Vleuten		 source
presentation source		 8
PHUSE EU 2025 Our Journey in Integrating External Control Arms (ECAs) and Real-World Data (RWD) for Rare Disease Trials Cyril Sombrin,
Gautham Selvaraj		 source
poster source		 4
MWSUG 2025 Mind the Gaps: Automating Multiple Imputation in Clinical Trial Workflows [presentation] Crisa Chen,
Jiangang Cai		 source 30
WUSS 2025 FDA says, Do the Allowable Total Difference Zone: A Method Comparison using the ATDzone SAS Macro Jesse Albert Canchola,
Natasha Oza		 source 22
WUSS 2025 Inter-reader Variability and Reader Weighting in Diagnostic Accuracy Studies using the SAS System Jesse Albert Canchola,
Monica Vasquez,
Payam Ahmadi		 source 22
PharmaSUG 2025 Handling Missing Data in External Control Arms: Best Practices, Recommendations, and SAS Code Examples Yutong Zhang source 6
PharmaSUG 2025 Multiple Imputation Techniques in the Context of ADaM Datasets Shunbing Zhao,
Linping Li		 source 11
PharmaSUG 2025 Practical considerations for Intercurrent Events and Multiple Imputation David Bushnell source 6
PharmaSUG 2025 Sensitivity Analysis for Overall Survival Binal Mehta,
Patel Mukesh		 source 13
PHUSE US 2025 Transforming Clinical Trials: Leveraging Bayesian Statistics in Innovative Trial Design, Analysis, Applications and Navigating Challenges Jaskaran Singh Saini source
presentation source		 11
MWSUG 2024 The Premium Pricing Dilemma [presentation] Sai Suresh Marreddy,
Kusuma Lanka		 source 20
PHUSE EU 2024 Artificial Intelligence Potential Use Cases in Clinical Data Engineering Deepak Pakalapati,
Mounika Pillamarapu		 source
presentation source		 8
PHUSE EU 2024 Innovation of Causal Inferential Frameworks for Biostatistics in Real-World Data and Evidence Anwesha Roy source
poster source		 8
PHUSE EU 2024 Unveiling the Tipping Point: An In-depth Analysis Varsha Mithun Patil,
Ephicacy Lifescience		 source
presentation source		 8
WUSS 2024 Developing a SAS Macro for ISNI: Assessing Missing Data Sensitivity Beyond MAR Assumptions Bocheng Jing,
L. Grisell Diaz-Ramirez,
W. John Boscardin		 source 16
PharmaSUG CN 2024 E9(R1) Program Practice and Its Application in Sensitivity Analysis Dawei Jiao source 6
PharmaSUG CN 2024 Implementing Statistical Methods in Companion Diagnostic: A Case Study in NSCLC Danxia Hu,
Mandy Gao,
Jianyong Tong		 source 10
PharmaSUG 2024 Bayesian Methods in Survival Analysis: Enhancing Insights in Clinical Research Vadym Kalinichenko source 11
PharmaSUG 2024 Submitting Patient-Reported Outcome Data in Cancer Clinical Trials - Guidance for Industry Technical Specifications Document [presentation] Flora Mulkey source 48
PHUSE US 2024 EOSS_MMRM V1.0: A Shiny Application for Estimand-Oriented Sample Size and Power Simulation Using MMRM Modelling Xiaoli Kong,
Jing Dai		 source
presentation source		 8
PHUSE EU 2023 Efficacy Analyses with Imputations: Methods, Limitations and Lessons Learned Amine Khemiri source
presentation source		 3
PHUSE EU 2023 Handling Missing Data in Exploratory Analyses Using RWD: 'Collect the Data You Love or Love the Data You Get' - A Case Study [presentation] Jean-Marc Ferran source 22
SESUG 2023 Forecasting Goals for Student Success Metrics in Accountability Performance Reporting using SAS Visual Analytics Xiaoying Liu,
Hennadii Balashov		 source 9
SESUG 2023 Longitudinal Analysis of Marital Therapy's Impact on Intimacy in Heterosexual Couples Yaa Awuah,
Mostafa Zahed		 source 19
PharmaSUG 2023 ADaM Design and Programming Standardization for Oncology Efficacy Endpoints Based on RECIST 1.1 Ellen (Zihui) Lin,
Matt Ness,
Yinghui Wang		 source 9
PharmaSUG 2023 Application of Tipping Point Analysis in Clinical Trials using the Multiple Imputation Procedure in SAS Yunxia Sui,
Xianwei Bu,
Yuanyuan Duan,
Yihan Li,
Xin Wang		 source 12
PharmaSUG 2023 Sensitivity Analysis for Missing Data Using Control-based Pattern Imputation Jun Feng,
Jingmin Liu		 source 7
PharmaSUG 2023 Statistical Considerations and Methods for Handling Missing Outcome Data in Clinical Trials During the Era of COVID-19 Xi Qian,
Chengfei Lu		 source 11
PHUSE US 2023 Admiralonco - The Cross-Company R Package for Oncology Admirers [presentation] Neharika Sharma,
Matt Marino		 source
video		 11
PHUSE EU 2022 Advanced SAS techniques to Generate Automated Topline RTF Reports - Used Daily by PMs Mizan Alam source
presentation source		 15
SESUG 2022 Standardized, Customized or Both? Defining and Implementing (MedDRA) Queries in ADaM Data Sets Richann J. Watson,
Karl Miller		 source 7
WUSS 2022 Standardized, Customized or Both? Defining and Implementing (MedDRA) Queries in ADaM Data Sets Richann J. Watson,
Karl Miller		 source 7
PHUSE US 2022 Pan-pharma Industry Collaboration - New Horizon, Success Stories [presentation] Tadeusz Lewandowski source
video		 21
PHUSE US 2022 Reassure Your Assumptions Using Sensitivity Analysis [presentation] Vadym Kalinichenko source
video		 29
PHUSE EU 2021 Let's ROC: An Empirical Approach to Confidence Intervals of Receiver-Operator Characteristic Curves [presentation] Alexander Ullmann,
Sanna Ström		 source
video		 41
PHUSE EU 2021 The Application of Pattern Mixture Models and Tipping Point Analysis in Clinical Trials Involving Multiple Imputations [poster] Anastasiia-Narmina Fataliieva,
Daria Shamaida		 source
video		 1
PHUSE US 2021 Central Statistical False Positives - Predicting True Signals with Machine Learning [presentation] Dorothea Ugi source
video		 24
PHUSE EU 2020 Addressing Industry Disruptions in Clinical Trials with Real-world Data in Lieu of COVID-19 [presentation] Sherrine Eid,
Stijn Rogiers		 source
video		 30
PHUSE EU 2020 Incomplete Data in Longitudinal Studies: Continuous and Dichotomous Outcome [presentation] Ana Grecu source
video		 20
PHUSE EU 2020 MI FOR MI, OR HOW TO HANDLE MISSING INFORMATION WITH MULTIPLE IMPUTATION Daria Shamaida source
video
presentation source		 8
SGF 2020 Turning the Crank. A Simulation of Optimizing Model Retraining David R. Duling source 17
PharmaSUG 2020 Principal Stratum strategy for handle intercurrent events: a causal estimand to avoid biased estimates Andrea Nizzardo,
Giovanni Marino Merlo,
Simona Scartoni		 source 13
PHUSE US 2020 Efficacy ADaMs in Oncology - Step by Step (Dataset by Dataset) Ilya Krivelevich,
Ran Xie		 source
presentation source		 8
PHUSE US 2020 Handling Missing Data in Clinical Trials: Techniques and Methods Pennidhi Karlakunta,
Naveen Kommuru		 source
presentation source		 9
PHUSE US 2020 Interactive Real-world Data Analysis Using Machine Learning Algorithms James J. Kim source
poster source		 5
PHUSE EU 2019 Optimise PRO Data Analysis with an Interactive Approach Tadeusz Lewandowski source
presentation source		 9
PharmaSUG 2019 SAS V9.4 MNAR statement for multiple imputations for missing not at random in longitudinal clinical trials Lingling Li source 11
SGF 2019 Using SAS to Validate Prediction Models Xiaoting Wu,
Chang He,
Donald S. Likosky		 source 9
PHUSE US 2019 Optimize PRO Data Analysis with an Interactive Approach Xiangyun Wang,
Elisabeth Piault-Louis		 source
presentation source		 8
MWSUG 2018 Using SAS to Validate Clinical Prediction Models Xiaoting Wu,
Chang He,
Donald S. Likosky		 8
WUSS 2018 How sensitive is your analysis? A case study on addressing it at ADaM level. Bhargav Koduru,
Balavenkata Pitchuka		 source 7
PHUSE US 2018 Assuring Data Integrity and Data Quality in Sponsor Submissions Paul Schuette source
presentation source		 5
PharmaSUG 2018 Improved Transparency in Key Operational Decisions in Real World Evidence Rebecca Levin,
Irene Cosmatos		 source 11
SGF 2018 !WRONG PAPER FIEL - WAITING for FIX! Nikki M. Carroll source 9
SGF 2018 Application of Propensity Score Models in Observational Studies Nikki M. Carroll source 9
PharmaSUG 2017 Standardized, Customized or Both? Defining and Implementing (MedDRA) Queries in ADaM Data Sets Richann J. Watson,
Karl Miller		 source 7
SGF 2017 Optimizing Your Optimizations by Maximizing the Financial and Business Impacts of SAS Marketing Optimization Scenarios Erin McCarthy source 14
MWSUG 2016 An Animated Guide: Insights into the Logic of the ROC Curve Russell M. Lavery 8
MWSUG 2016 Identifying the factors responsible for loan defaults and classification of customers using SAS Enterprise Miner Juhi Bhargava,
Prashanth Reddy Musuku		 13
WUSS 2016 An Animated Guide: Insights into the Logic of the ROC Curve Russell M. Lavery source 8
WUSS 2016 MIghty PROC MI to the rescue! Cynthia Alvarez source 10
SGF 2016 Application of Data Mining Techniques in Improving Breast Cancer Diagnosis Josephine Akosa source
presentation		 10
SGF 2016 Credit Risk Modeling in a New Era Wei Chen,
Martim Rocha,
Jimmy Skoglund		 source 16
SGF 2016 Simultaneous Forecasts of Multiple Interrelated Time Series with Markov Chain Model Gongwei Chen source 11
PHUSE EU 2015 Facing Your Fear of the Unknown - Handling Missing Data Amanda Reilly source
presentation source		 7
SESUG 2015 Regulatory Stress Testing - A Manageable Process with SAS Wei Chen,
John Pechacek,
Erik Leaver,
Shannon Clark		 source 12
SGF 2015 Random vs. Fixed Effects: Which Technique More Effectively Addresses Selection Bias in Observational Studies Jessica Navratil-Strawn,
Stephen Hartley,
Ronald J. Ozminkowski		 source
zip		 8
SGF 2015 Regulatory Stress Testing - A Manageable Process with SAS Wei Chen,
John Pechacek,
Erik Leaver,
Shannon Clark		 source 12
SGF 2015 Time Series Modeling and Forecasting--An Application to Stress-Test Banks Ania Supady source 13
PHUSE EU 2014 Cost-Effectiveness in Hospitals Using SAS Ilias Pyrnokokis source
presentation source		 8
PharmaSUG CN 2014 Design and Construct Efficacy Analysis Datasets in Later Phase Oncology Study Huadan Li,
Changhong Shi		 9
WUSS 2014 Markov Chain Model Forecast for Interrelated Time Series Data Using SAS/IML Gongwei Chen source 10
SGF 2014 Sensitivity Analysis in Multiple Imputation for Missing Data Yang Yuan source 12
SGF 2014 Using SAS to Examine Internal Consistency and to Develop Community Engagement Scores Renee Gennarelli,
Melody S. Goodman		 source 10
PHUSE EU 2013 Economic Evaluation in Clinical Trials. You Can Do it with SAS Artur Usov source
presentation source		 12
PHUSE EU 2013 Efficacy Endpoints in Oncology Angelo Tinazzi source 9
PHUSE EU 2013 Orphan Indication Therapies: Programming for a Patient Population without Options [presentation] Todd Case source 24
WUSS 2012 Sensitivity analysis of nonlinear mixed-effects models for longitudinal data that areincomplete Shelley A. Blozis source 6
SGF 2012 Propensity Score Analysis and Assessment of Propensity Score Approaches Using SAS Procedures Rheta E. Lanehart,
Patricia Rodríguez de Gil,
Eun Sook Kim,
Aarti P. Bellara,
Jeffrey D. Kromrey,
Reginald Lee		 source 11
WUSS 2011 Turbocharging Your Microsoft Office Environment with version 4.3 of the SAS Add-In for Microsoft Office Kevin Bickford source 21
PharmaSUG 2011 Cost-Effectiveness Of Primary PCI At Hospitals Without Onsite CaABG Pedro Ramos source 21
PharmaSUG 2011 Implementation of Pattern-Mixture Models Using Standard SAS/STAT Procedures Bohdana Ratitch,
Michael O'Kelly		 source 10
SGF 2011 Enrich your SAS Reporting with SAS Predictive Analytics Rob Craige source 15
SGF 2011 Turbocharging Your Microsoft Office Environment with SAS Add-In for Microsoft Office 4.3 Anand V. Chitale source 21
NESUG 2010 A SAS Application to Identify and Evaluate Outliers Richard Hendra,
Paulette W. Staum		 16
MWSUG 2010 Ad Hoc and Statistical Model Visualization Using JMP, SAS, and Excel Jon T. Weisz 10
SESUG 2010 Ad Hoc and Statistical Model Visualization Using JMP, SAS, and Excel Jon T. Weisz source 10
SGF 2010 Ad Hoc and Statistical Model Visualization Using JMP, SAS, and Excel Jon T. Weisz source 10
SGF 2009 Bayesian Modeling Using the MCMC Procedure Fang K. Chen source 22
SGF 2009 Reject Inference Techniques Implemented in Credit Scoring for SAS Enterprise Miner Billie Anderson,
Susan Haller,
Naeem Siddiqi		 source 11
PharmaSUG 2008 Facilitate Statistical Analysis with Automatic Collapsing of Small Size Strata Sunil Kumar Gupta,
Linfeng Xu,
Thousand Oaks		 12
PharmaSUG 2007 A Review of Propensity Score Application in Healthcare Outcome and Epidemiology Guiping Yang 24
SCSUG 2004 A SAS/OR Primer on Using PROC LP Michael E. Salassi 14
SCSUG 2004 Designing the Optimal File Linkage Algorithm (OFLA) [ Poster ] Tsai Mei Lin 14
SEUGI 2003 SAS Human Capital Management [presentation] Carolyn Cobb source 30
SEUGI 2003 SAS Marketing Optimization [presentation] Neil Hayward source 28
SEUGI 2002 The problem of treasurey portfolio optimisation [presentation] Alexey Kulemin,
Vasily Konuzin,
Vasily Sorokoumov,
Victor Kulyshev		 source 52
SEUGI 2001 A System for Monitoring and Analysing Legal Actions [presentation] Roberto Noceta source 18
SEUGI 2000 Credit Risk Measurement for a Bank Loans Portfolio Emiliano Laruccia,
Valter Lazzari		 source 11
SEUGI 2000 Snapshot of the Procurement Environment - Readiness Check - The Basis for Optimisation at Franke Group [presentation] Beat Waldmeier,
Stefano Musso		 source 41
SUGI 2000 Design and Analysis of Cancer Control Studies via the SAS System Jeff A. Sloan,
Charles L. Loprinzi,
Paul J. Novotny		 source 10
NESUG 1999 Applying Familiar Non-Parametric Tests to Evaluation of Neural Network Inputs Susan B. Garavaglia 10
SEUGI 1998 The methodogical integration between business and technology skills in a data warehouse [presentation] Daniele Vanzanelli source 24
NESUG 1997 Using Logistic Regression to Test for Interaction in the Presence of Zero Cells Lisa Suchower 10
SEUGI 1996 Marketing Information System UNKNOWN source 22
SUGI 1993 A Fuzzy Clustering Approach in Support of Identifying Influential Observations and the Computation of Multiple Outlier Diagnostics Konstantinos Triantis,
Ritu Puri,
William L. Seaver		 source 6
SUGI 1992 Managing Time and Resources: Enterprisewide Project Management Laurie Rose source 4
SUGI 1992 Optimal Tax Strategies for Small Businesses and Professional Practices Janet R. Gibley,
Raymond A. Gibley		 source 3
SEUGI 1990 Using the SAS System as an Executive Information System Claudia Cavedon source 6
SUGI 1990 Polychlorinated Biphenyls Information Management and Modeling System for the Unsaturated Soil Zone Jing-Yea Yang,
Shi-Tao Yeh,
Frederick Bopp III		 source 6
SUGI 1986 Progress Towards SAS/OR Software for the Microcomputer Marc-David Cohen source 9
SUGI 1985 A SAS Procedure for Evaluating the Performance of Token Ring Local Area Networks Richard L. Gimarc,
James H. Smith		 source 8
SUGI 1983 Introduction to Linear Programming with SAS Marc-David Cohen source 8
SUGI 1982 A Data Mangement and Forecasting System for the Non-Data Processing User.. Janet S. Bridgers,
Kenneth A. Sprinkle		 source 6

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