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survival analysis

266 papers and 16 presentations; 271 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG 2026 Linear versus Log-Log Confidence Intervals for Kaplan-Meier Survival Estimates: Statistical Rationale and Practical Implementation using SAS 9.4 Prayag Shah source 8
PharmaSUG 2026 Python for Survival Analysis: Kaplan-Meier and Reverse KM Plots Made Easy Girish Kankipati,
Bala Rajesh Jakka		 source 20
PharmaSUG 2026 Streamlining Workflows in Real-World Evidence Studies with an R-Based Automation Tool Lihai Song source 16
PHUSE US 2026 Ensuring Reliability of Medical Devices Through Statistical Oversight in the Age of AI Parvee Kumar,
Shrutimita Pokhariyal		 source
presentation source		 11
PHUSE US 2026 From SAS to R for TLGs: A Case Study on Implementing an 'R-First, SAS-QC' Workflow for Time-to-Event Analysis Adler Moisés Fallas Rodríguez source
presentation source		 8
PHUSE US 2026 Interactive and Instant: GenAI-Driven Creation of Clinical Trial Applications Marcin Dubel source
presentation source		 12
PHUSE US 2026 Multiple Sclerosis Trials Unpacked: Standards, Endpoints and Programming Experience Daryna Teteriuk source
presentation source		 12
PHUSE US 2026 Practical Survival Analysis Techniques for Clinical Trials Using SAS Xue Ding,
Tianchen Xu		 source
presentation source		 10
PHUSE APAC 2026 AI-Powered Precision: Transforming Limb Salvage Decisions in Diabetic Foot Syndrome Kumar Sambhav source
presentation source		 6
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 From Static to Interactive: A Comparative Evaluation of ggplot2 and Plotly in Clinical Data Visualisation Mugdha Joshi source
presentation source		 8
PHUSE APAC 2026 Internal Paper AS19 Time-to-Event Analysis in Pain Management: A Case Study of the Double Stopwatch Method and ADaM Dataset Development in Relation to Rescue Medication Arnode Mukherjee,
Abhishek Paul		 source
presentation source		 12
PHUSE EU 2025 Interactive Insights: Leveraging R Shiny for Enhanced Data Visualisation in Clinical Trial Readouts [presentation] Carolyn Fisher,
Elisabeth Deutschmann		 source 20
PHUSE EU 2025 Survival analysis for AdVerse events with VarYing follow-up times (SAVVY)-estimation of adverse event risks Regina Stegherr,
Claudia Schmoor,
Jan Beyersmann,
Kaspar Rufibach,
Valentine Jehl,
Andreas Brückner,
Lewin Eisele,
Thomas Künzel,
Katrin Kupas,
Frank Langer,
Friedhelm Leverkus,
Anja Loos,
Christiane Norenberg,
Florian Voss,
Tim Friede		 source
poster source		 13
PHUSE EU 2025 The Art of Timely Deliverables: How We Learned To Stop Worrying and Love the Deadline Søren Fjelstrup source
presentation source		 12
MWSUG 2025 Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source Jayanth Iyengar source 32
WUSS 2025 Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source Jayanth Iyengar source 32
WUSS 2025 PFS2, did you hear about it too? - Understanding the derivation of Progression Free Survival on next-line therapy (PFS2). Yeshashwini Chenna,
Lupetu Ntambwe		 source 11
PharmaSUG 2025 Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source Jayanth Iyengar source 32
PharmaSUG 2025 Efficacy Endpoints Related to CNS in Oncology Studies within ADaM Lihui Deng,
Kylie Fan		 source 6
PharmaSUG 2025 How to compute common clinical trials statistics in R Oleksandr Babych source 15
PharmaSUG 2025 Incorporating Frailty into Time-to-Event Analysis: A Practical Approach with R frailtypack Sunil Kumar Pusarla,
Avani Reddy Alla		 source 9
PharmaSUG 2025 Landmark Analysis: A Method for Accurate Prediction of Time-Dependent Clinical Risks and Their Effect on Patient Outcomes Sunil Kumar Pusarla,
Avani Reddy Alla		 source 8
PharmaSUG 2025 Mastering the Maze of Oncology Endpoints: A Unified SAS Approach for Randomized Controlled Trial Analysis Yuxin Wang,
Kelly Chao,
Wenqing Yu,
Hongbing Jin		 source 11
PharmaSUG 2025 Risk Mitigation Solution for Kaplan-Meier Plot in Drug Labeling Bingjun Wang,
Jane X. Liao,
Suhas R. Sanjee,
Jeff Xia		 source 13
PharmaSUG 2025 Sensitivity Analysis for Overall Survival Binal Mehta,
Patel Mukesh		 source 13
PharmaSUG 2025 Time to Event Analysis from Sample Size Considerations to Results Interpretation in Simple Words Iryna Kotenko source 8
PHUSE US 2025 Differential Privacy (DP) Approach for Sharing Survival Analysis Data Elena Valkanova,
Bulat Fatykhov		 source
poster source		 11
PHUSE US 2025 Evaluation of Open-Source Technologies in Clinical Trial Reporting Jaimin Patel source
poster source		 7
PHUSE US 2025 Revolutionising Cancer Trials with Adaptive Designs and Bayesian Analysis Navneet Jha source
presentation source		 11
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
PharmaSUG 2024 Bayesian Methods in Survival Analysis: Enhancing Insights in Clinical Research Vadym Kalinichenko source 11
PharmaSUG 2024 Kaplan-Meier Graph: a comparative study using SAS vs R Mrityunjay Kumar,
Shashikant Kumar		 source 11
PHUSE US 2024 Comparing Analysis Method Implementations in Software (CAMIS): An Open-Source Repository to Document Differences in Statistical Methodology Software [poster] Soma Sekhar Sriadibhatla,
Vikash Jain		 source 1
PHUSE US 2024 It is Time to Get Answers: Handling Questionnaire Data in Respiratory Studies Valeriia Oreshko source
presentation source		 10
PHUSE US 2024 Validation Unveiled: Striking the Balance for Data Integrity and Compliance in R, Python, and SAS Sy J. Truong source
presentation source		 10
PHUSE EU 2023 CDISC's ADTTE Domain: Time-to-Event Analysis From a Programmer's Point of View [poster] Vitali Gering,
Sophia Praeger		 source 1
PHUSE EU 2023 Efficacy Endpoints in Adjuvant and Neo-Adjuvant Oncology Trials Yuliia (Piddubna) Cherednichenko,
Anna Amosova		 source
presentation source		 15
PHUSE EU 2023 Machine-Learning Approaches to Survival Analysis of Clinical Data Dorothee Childs,
Christoph Bergen		 source
presentation source		 2
PharmaSUG 2023 Guidelines for the Statistical Analysis in German Dossier Submissions Meiling Gao,
Xi Qian,
Hui Mao		 source 8
PharmaSUG 2023 Leverage and Enhance CDISC TAUGs to Build More Traceability for and Streamline Development of Efficacy ADaM in Oncology Studies Xiangchen (Bob) Cui source 29
PHUSE US 2023 How to Customize Survival Curves in R and Add Interactivity Oleksandr Babych source
presentation source		 9
PharmaSUG 2022 A Multilingual Shiny App for Drug Labelling in Worldwide Submission Jinchun Zhang,
Aiming Yang,
Yiwen Luo,
Nan Xiao,
Yilong Zhang		 source 13
PharmaSUG 2022 SAS ODS Application of Interactive and Informative Clinical Trial Reports Luwei Pang,
Aiming Yang		 source 9
PHUSE US 2022 Clinical Statistical Reporting in a Multilingual World [presentation] Michael S Rimler,
Michael Stackhouse		 source 11
PHUSE US 2022 Using the Nest-map-unnest Workflow in R for Sub-group Analysis in Clinical Trial Reporting [presentation] Mia Qi,
Sheng-Wei Wang		 source
video		 12
PHUSE EU 2021 An overview of regression approaches for the competing risks data Oksana Mykhailova,
Julia Ditkovska		 source
video
presentation source		 6
PHUSE EU 2021 Statistical Training for Health Technology Assessment Statistical Programmers Anastasia Kokoreva,
William Malbecq		 source
video
presentation source		 7
PHUSE US 2021 Parmsurv: An SAS Macro for Flexible Parametric Survival Analysis with Long-term Predictions Han Fu,
Shahrul Mt-Isa		 source
video
presentation source		 10
PharmaSUG 2021 Customize and Beautify Your Kaplan-Meier Curves in Simple Steps John Henderson,
Lili Li		 source 7
PharmaSUG 2021 Survival Statistics with PROC LIFETEST and PROC PHREG: Pitfall-Avoiding Survival Lessons for Programmers Yun (Julie) Zhuo source 10
SGF 2021 A SAS Macro to Perform Kaplan-Meier Multiple Imputation for Survival Analyses with Competing Events Jialin Han,
Sai Liu,
Margaret R. Stedman,
Maria E. Montez-Rath		 source 8
SGF 2021 Reliability of Individual Predictions Estimation for Claim Risk-Scoring Models Yuriy Chechulin,
Jina Qu,
Hudson Mahboubi,
Terrance D'souza		 source 9
PHUSE EU 2020 An R Shiny Application: Platform-independent Tool to Produce a Statistical Manuscript with R and Validation with SAS [presentation] Abu Zafar Moahmmad Sami source
video		 23
SGF 2020 Combination Weighted Log-rank Tests for Survival Analysis with Non-proportional Hazards Andrea Knezevic,
Sujata Patil		 source 10
SGF 2020 Don't Just Survive, Thrive with This Multi-Stratified Cox Proportional Hazards Model Macro Katelyn J. Ware,
Paul Egeler		 source 11
SGF 2020 Recent Developments in Survival Analysis with SAS Software G. Gordon Brown source 9
SGF 2020 Surviving the Cox Proportional Hazards Model with the POWER Procedure Rachel R. Baxter source 6
PharmaSUG 2020 %MVMODELS: a Macro for Survival and Logistic Analysis Jeffrey P. Meyers source 23
PharmaSUG 2020 A Brief Introduction to Performing Statistical Analysis in SAS, R & Python Erica Goodrich,
Daniel Sturgeon		 source 22
PharmaSUG 2020 End-to-end Prostate-Specific Antigen (PSA) Analysis in Clinical Trials: From Mock-ups to ADPSA Joy Zeng,
Varaprasad Ilapogu,
Xinping Cindy Wu		 source 12
PharmaSUG 2020 RStats: A R-Shiny application for statistical analysis Sean Yang,
Hrideep Antony,
Aman Bahl		 source 8
PharmaSUG 2020 Why Are There So Many ADaM Documents, and How Do I Know Which to Use? Sandra Minjoe source 10
PHUSE US 2020 CDISC's ADTTE Domain: Time-to-Event Analysis From a Programmer's Point of View Frieder Wolff,
Vitali Gering		 source
poster source		 8
PHUSE US 2020 Efficacy ADaMs in Oncology - Step by Step (Dataset by Dataset) Ilya Krivelevich,
Ran Xie		 source
presentation source		 8
SESUG 2019 Generalized Linear Mixed Model Approach to Time-to-Event Data with Censored Observations Censored Observations source 9
MWSUG 2019 Survival Tips for Survival Analysis Xiaoting Wu 13
MWSUG 2019 Surviving Survival Analysis 101: Making the Likelihood Ratio Test Easier Using a Macro Katelyn Ware,
Rachel Baxter		 13
MWSUG 2019 Time-To-Event Analysis in the Presence of Competing risks Xiaoting Wu 9
PharmaSUG 2019 A SAS Macro to Provide Survival Functions along with Cox Regression Model Efficiently Chia-Ling (Ally) Wu source 6
PharmaSUG 2019 Developing Custom SAS Studio Tasks for Clinical Trial Graphs Olivia Wright,
Sanjay N. Matange		 source 15
PharmaSUG 2019 Let's Flip: An Approach to Understand Median Follow-up by the Reverse Kaplan-Meier Estimator from a Programmer's Perspective Nikita Sathish,
Chia-Ling (Ally) Wu		 source 5
PharmaSUG 2019 Leveraging Intermediate Data Sets to Achieve ADaM Traceability Yun (Julie) Zhuo source 12
PharmaSUG 2019 Sample Size Determination with SAS Studio Bill Coar source 13
PharmaSUG 2019 Useful SAS techniques in Efficacy Analysis for Oncology studies Joy Zeng source 21
PharmaSUG 2019 Working Remotely - Home Office, Tools and Technology Gary E. Moore source 25
SGF 2019 Predicting the success of a startup company Vrushank Shah,
Miriam McGaugh		 source 11
SGF 2019 Sample Size Determination with SAS Studio William Coar source 13
SGF 2019 Using SAS Macros to Analyze Lifetime Data with Left Truncation Zhen-Huan Hu source 11
PHUSE US 2019 Interactive Exploratory Analysis and Visualization for Late-phase Clinical Data Sheng-Wei Wang,
Casey Yang		 source
presentation source		 9
SCSUG 2018 Predicting the success of a startup company Vrushank Shah source 10
PHUSE EU 2018 Forest Plots in Survival Subgroup Analyses Michael Brockmann,
Julia Benzing		 source
presentation source		 11
PHUSE EU 2018 Methods for Survival Analysis with Competing Risks Laura Marquis,
Leonie Wagner		 source
presentation source		 8
PHUSE EU 2018 Overall Survival Adjustment to Mitigate the Impact of Crossover from the Control Arm to the Experimental Arm. The Two-stage Method Antonio Nieto,
Javier Gómez		 source
poster source		 9
MWSUG 2018 Assessing Model Adequacy in Proportional Hazards Regression Michael G. Wilson 37
PHUSE US 2018 Interim Survival Analysis Across 3 Platforms Venita DePuy source
presentation source		 22
PharmaSUG 2018 ADINTDT and ADTTE for Survival Sweep in Oncology Studies Christine S Teng,
Wenyu Hu		 source 6
PharmaSUG 2018 Calculating Restricted Mean of Survival Time Jiuzhou Wang,
Tony Qi		 source 7
PharmaSUG 2018 Leveraging Standards for Effective Visualization of Early Efficacy in Clinical Trial Oncology Studies Kelci J. Miclaus,
Lili Li		 source 12
PharmaSUG 2018 Sense and Censorability: Learn censoring techniques with ADTTE for your survival Shilpakala Vasudevan source 12
PharmaSUG 2018 Statistician in my Soul. Statistical Questions from SPA Nadiia Hryhorenko source 12
SGF 2018 Cause-Specific Analysis of Competing Risks Using the PHREG Procedure Changbin Guo source 18
SGF 2018 Claim Risk Scoring Using Survival Analysis Framework and Machine Learning with Random Forest Yuriy Chechulin source 15
SGF 2018 Competing Risk Survival Analysis: A Novel Way to Look at Treatment Wait Times [presentation] Colleen E. McGahan source 56
SGF 2018 Getting Started with Survival Analysis Marc Huber source 76
SGF 2018 The Cox Hazard Model for Claims Data Tanya Kolosova source 16
SESUG 2017 SAS Macros for Time - Dependent Effects and Risk Factors on Survival Chao Zhang,
Manali Rupji,
Yuan Liu,
Jeanne Kowalski		 source 6
SCSUG 2017 The Cox Hazard Model for Claims Data Samuel Berestizhevsky,
Tanya Kolosova		 source 17
PHUSE EU 2017 SAS Visual Data Mining [presentation] Andy Bayliss source 3
PHUSE EU 2017 Surviving your Statistician: A Programmer's Guide to Survival Analysis James Diserens source
presentation source		 11
MWSUG 2017 Nothing to SNF At: Evaluating an intervention to reduce skilled nursing home (SNF) length of stay Andrea Frazier 4
MWSUG 2017 The Cox Hazard Model for Claims Data: Bayesian non-parametric approach Samuel Berestizhevsky,
Tanya Kolosova		 17
WUSS 2017 Step Up Your Statistical Practice with Today's SAS/STAT Software Robert N. Rodriguez source 19
WUSS 2017 The Cox Hazard Model for Claims Data Samuel Berestizhevsky,
Tanya Kolosova		 source 17
PharmaSUG 2017 A custom ADaM domain for time to event analysis in adverse events John Saida Shaik source 4
PharmaSUG 2017 Combining Survival Analysis Results after Multiple Imputation of Censored Event Times Jonathan L Moscovici,
Bohdana Ratitch		 source 11
PharmaSUG 2017 Survival 101 - Just Learning to Survive Leanne Goldstein,
Rebecca Ottesen		 source 20
SGF 2017 A SAS Macro for Covariate Specification in Linear, Logistic, and Survival Regression Sai Liu source
zip		 19
SGF 2017 Application of Survival Analysis for Predicting Customer Churn with Recency, Frequency, and Monetary Bo Zhang,
Liwei Wang		 source 6
SGF 2017 Step Up Your Statistical Practice with Today's SAS/STAT Software Robert N. Rodriguez,
Phil Gibbs		 source 19
SGF 2017 Survival Analysis of Lung Cancer Patients Using PROC PHREG and PROC LIFETEST [presentation] Yan Wang source 4
SESUG 2016 Surviving the Interim: Insights Into Interim Survival Analyses Venita DePuy source 31
MWSUG 2016 Use Multi-Stage Model to Target the Most Valuable Customers Chao Xu,
Jing Ren,
Hongying Yang		 10
WUSS 2016 Introduction to Survival Analysis in SAS Leanne Goldstein,
Rebecca Ottesen		 source 19
PharmaSUG 2016 Selecting Analysis Dates - A Macro Approach Using Raw Data for Expediting Results Abdul Ghouse source 4
SGF 2016 Competing-Risks Analyses: An Overview of Regression Models Joseph C. Gardiner source 22
SGF 2016 Customer Lifetime Value Modeling Vadim Pliner source
presentation		 4
SGF 2016 Make Predictions More Predictive: Lift Retail Marketing Campaign Response by Blending Logistic Regression and the Cox Proportional Hazards Model Hsin-Yi Wang source 10
SGF 2016 Survival Analysis of the Patients Diagnosed with Non-Small Cell Lung Cancer Using SAS Enterprise Miner 13.1 Raja Rajeswari Veggalam,
Akansha Gupta,
Goutam Chakraborty		 source 11
SESUG 2015 A Macro for Calculating Percentiles on Left Censored Environmental Data using the Kaplan-Meier Method Dennis J. Beal,
Oak Ridge		 source 6
SESUG 2015 Comparing Results from Cox Proportional Hazards Models using SUDAAN and SAS Survey Procedures to a Logistic Regression Model for Analysis of Influenza Vaccination Coverage Yusheng Zhai,
K. E. Kahn,
A. O'Halloran		 source 13
PharmaSUG 2015 Leveraging Visualization Techniques to tell my data story: Survival Analysis Interpretation made easy through simple programming Vijayata Sanghvi source 7
PharmaSUG 2015 The Best Practices of CDISC ADaM Validation Checks: Past, Present, and Future Shelley Dunn,
Ed Lombardi		 source 9
PharmaSUG 2015 The Implementation of Display Auto-Generation with Analysis Results Metadata Driven Method Chengxin Li source 11
SGF 2015 A Set of SAS Macros for Generating Survival Analysis Reports for Lifetime Data with or without Competing Risks Zhen-Huan Hu source
zip		 6
SGF 2015 An Application of the Cox Proportional Hazards Model to the Construction of Objective Vintages for Credit in Financial Institutions, Using PROC PHREG Iván Darío Atehortua Rojas source
zip		 8
SGF 2015 Analysis of Survey Data Using the SAS SURVEY Procedures: A Primer Patricia A. Berglund source 19
SGF 2015 Competing Risk Survival Analysis Using SAS: When, Why, and How Lovedeep Gondara source 10
SGF 2015 Predicting Transformer Lifetime Using Survival Analysis and Modeling Risk Associated with Overloaded Transformers Using SAS Enterprise Miner 12.1 Balamurugan Mohan,
Goutam Chakraborty		 source 18
SGF 2015 Survival Analysis with Survey Data Joseph C. Gardiner source 17
PHUSE EU 2014 Evaluating the Tradeoff between Quality of Life through Quality-Adjusted Survival Analysis Lawrence Rasouliyan source
presentation source		 12
PHUSE EU 2014 Lessons Learned by Comparing "using SAS" as and Epidemiological Researcher and "using SAS" as a Statistical Programmer Joris Derks source
presentation source		 6
PHUSE EU 2014 Statistics and Computing for Health A 10-year Bachelor of Science in South Brittany [presentation] Jean-Francoius Petiot,
Cedric Frambour		 source 17
PharmaSUG CN 2014 Design and Construct Efficacy Analysis Datasets in Later Phase Oncology Study Huadan Li,
Changhong Shi		 9
WUSS 2014 A Statistical and Visual Exploration of the Surveillance, Epidemiology, and End Results (SEER) Database Using SAS Christopher Yim source 10
PharmaSUG 2014 An ADaM Interim Dataset for Time-to-Event Analysis Needs Tom Santopoli,
Kimberly Minkalis,
Sandra Minjoe		 source 9
PharmaSUG 2014 Standardization of Confidence Intervals in PFS Tables - a Macro Approach John Saida Shaik,
Boxun Zhang		 source 4
PharmaSUG 2014 Survival 101 - Just Learning to Survive Leanne Goldstein,
Rebecca Ottesen		 source 19
PharmaSUG 2014 Survival Analysis Approaches and New Developments using SAS Jane Lu,
David Shen		 source 13
SGF 2014 SAS/STAT 13.1 Round-Up Bob Rodriguez,
Maura E. Stokes		 source 25
WUSS 2013 Survival 101 - Just Learning to Survive Leanne Goldstein,
Rebecca Ottesen		 source 24
SESUG 2013 KAPLAN-MEIER ANALYSIS: A PRACTICAL GUIDE FOR PROGRAMMERS Madhi Saranadasa source 7
SESUG 2013 Lost in Translation: A Statistician's (Basic) Perspective of PROC LIFETEST Alexandra Buck source 7
SESUG 2013 Role of Fibrinogen, HDL Cholesterol and Cardio Respiratory Fitness in Predicting Mortality Due to Cardio-vascular Disease: Results From the Aerobics Center Longitudinal Study Srinivasa Madhavan source 4
PHUSE EU 2013 Computing the 'Competing Risks' - Modeling Survival Data with Competing Risk Events using SAS Macros Swapna Deshpande source
presentation source		 10
PHUSE EU 2013 Efficacy Endpoints in Oncology Angelo Tinazzi source 9
PHUSE EU 2013 Lexis Expansion - Age-at-Risk Adjustment for Survival Analysis Lai San Hong,
Sarah Lewington		 source 5
PHUSE EU 2013 Oncology Endpoints: An Unexpected Journey Waseem Jugon,
Mijanur Rahman		 source 12
PharmaSUG 2013 Time to Event Analysis in the Pharmaceutical and Medical Device Industries Helen M. Chmiel,
Evan L. Ritzema		 source 8
SGF 2013 Assessing Model Adequacy in Proportional Hazards Regression Michael G. Wilson source 36
SGF 2013 Cox Proportional Hazard Model Evaluation in One Shot Polina Kukhareva source 11
SGF 2013 SAS ODS Graphics Designer - The Next Step in Amazing Data Visualization Christopher Battiston source
pdf		 18
SGF 2013 Statistical Analyses Using SAS Enterprise Guide Scott P. Leslie source 11
SGF 2013 Using the QUANTLIFE Procedure for Survival Analysis Bob Rodriguez,
Guixian Lin		 source 13
SGF 2013 Weathering the Storm: Using Predictive Analytics to Minimize Utility Outages Kathy Ball,
Mark Konya		 source
pdf		 10
NESUG 2012 Building a Predictive Model for 30-Day Inpatient Readmission Using PROC PHREG Klaus Lemke 13
SCSUG 2012 Net Present Value Model Approach Jingjing Qu source 7
PHUSE EU 2012 A Supplement to the SAS Survival Guide - Nonparametric Regression Karl-Ernst Siegler source
presentation source		 8
MWSUG 2012 Survival of the Milkman - How Modern Analytics is Helping an Old Fashioned Business Thrive Bruce Bedford 13
WUSS 2012 Basic Statistics with SAS Enterprise Guide: For Learners and Teachers and Everyone Else AnnMaria De Mars,
Chelsea Heaven		 source 20
PharmaSUG 2012 Creating the Time to Event ADaM Dataset: The Nuts and Bolts Nancy Brucken,
Paul K. Slagle		 source 7
PharmaSUG 2012 Multiple Applications of ADaM Time-to-Event Datasets Huei-Ling Chen,
Helen Wang		 source 6
SGF 2012 A Simple Way to Program Power Calculations Robert Lew,
Hongsheng Wu		 source 16
SGF 2012 Its About Time: Discrete Time Survival Analysis using SAS Enterprise Miner Sascha Schubert,
Susan Haller,
Taiyeong Lee		 source 15
SGF 2012 SAS Enterprise Guide with SAS On-Demand for Academics: Everything You Need to Know After ""It's Free"" AnnMaria De Mars source 20
SGF 2012 Using PHREG for Model Selection to Explore the Time Taking Immigrants in the GB to Find First Employment and Cross Validating Frailty Terms JuYin Helen Wong source 5
SGF 2012 Your Survival Guide to Using Time-Dependent Covariates Melissa E. Bagnell,
Teresa M. Powell		 source 10
WUSS 2011 Statistical Analyses Using SAS Enterprise Guide R. Scott Leslie source 11
MWSUG 2011 Application for Survival Analysis through Microsoft Access GUI Zhong Yan,
Jie Li,
Jiazheng (Steven) He		 7
NESUG 2011 A Missing Guide for a Comprehensive Kaplan-Meier Plot Jiannan Hu 7
NESUG 2011 Survival Analysis: K-M Plot with Confidence Band Santosh Bari,
Himanshu Patel		 9
PharmaSUG 2011 A Programmer's Introduction to Survival Analysis Using Kaplan Meier Methods John Ventre,
Lisa Fine		 source 8
PharmaSUG 2011 Caution: Hazards Crossing! Using the Renyi Test Statistic in Survival Analysis Matthew Davis,
Sharon X. Xie		 source 9
PharmaSUG 2011 Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterprise Miner Patricia B. Cerrito source 15
PharmaSUG 2011 Success As a Pharmaceutical Statistical Programmer Sandra Minjoe,
Mario Widel		 source 7
PharmaSUG 2011 Using the ADaM Basic Data Structure for Survival Analysis Nancy Brucken,
Sandra Minjoe,
Mario Widel		 source 5
SGF 2011 An Introduction to Survival Analysis Using Complex Sample Survey Data Patricia A. Berglund source 20
SCSUG 2010 Coding ICD-9 and Charlson Index Score in R for SAS Users Vanessa Cox source 16
SCSUG 2010 Impact of model mis-specification on conditional power in interim survival analysis Chao L. Chen source 9
WUSS 2010 A Discussion of SAS's %CUMINCID Macro for Generating Cumulative Incidence Curves in Cases of Competing Risk in Survival Analysis Andrew Dagis source 7
WUSS 2010 Survival 101: Reporting Survival Curves Using Sample Data from the Colorectal Cancer Outcomes Database Anna ter Veer source 11
PHUSE EU 2010 Assesment of Cox Proportional Hazard Model Adequacy Using PROC PHREG and PROC GPLOT Jadwiga Borucka source
presentation source		 13
MWSUG 2010 Comparing JMP and SAS for Validating Clinical Trials Sandra D. Schlotzhauer 18
MWSUG 2010 PROC LIFEREG or PROC PHREG Dachao Liu 9
MWSUG 2010 Using SAS to Assess and Model Time-to-Event Data with Non-Proportional Hazards Michael G. Wilson 24
SESUG 2010 A Macro for Calculating Summary Statistics on Left Censored Environmental Data using the Kaplan-Meier Method Dennis J. Beal source 6
PharmaSUG 2010 Applying ADaM Principles in Developing a Response Analysis Dataset Mei Dey,
Lisa Pyle		 8
PharmaSUG 2010 Data Annotations in Clinical Trial Graphs Sudhir Singh 10
PharmaSUG 2010 Introduction to Survival Analysis and Creating Kaplan-Meier Curves Ojesh Upadhyay 10
PharmaSUG 2010 Surviving Survival Analysis: Basic Knowledge from a Programmer's Viewpoint Deb Cassidy 9
SGF 2010 Investigating the Impact of Medicare Part D on Diabetes Medications Using SAS Enterprise Miner and Survival Analysis Xiao Wang source 13
SGF 2010 Survival Analysis: Overview of Parametric, Nonparametric, and Semiparametric Approaches and New Developments Joseph C. Gardiner source 23
SESUG 2009 Developing Business Failure Prediction Models Using SAS Software Oki Kim source 10
SESUG 2009 Using SAS to Explore the Impact of a Care Management Maternity Program Barbara B. Okerson source 9
NESUG 2009 A Proposed SDTM Implementation of Response Data for Solid Tumor Trials in Oncology Mei Dey,
Elisabeth Pyle		 18
NESUG 2009 The Application of Survival Analysis to Customer-Centric Forecasting Michael J. Berry 10
WUSS 2009 Developing Business Failure Prediction Models Using SAS Software Oki Kim source 10
SGF 2009 Analysis of Survival Data with Clustered Events Lida Gharibvand,
Lei Liu		 source 11
SGF 2009 Fitting Cox Model Using PROC PHREG and Beyond in SAS Lea Liu,
Sandy A. Forman,
Bruce A. Barton		 source 10
SGF 2009 Using SAS to Explore the Impact of a Care Management Maternity Program Barbara B. Okerson source 9
WUSS 2008 A Step-by-Step Guide to Survival Analysis Lida Gharibvand source 16
WUSS 2008 Evaluation of a Hospice Care Referral Program Using Cox Proportional Hazards Model Lida Gharibvand,
Daniel R. Jeske,
Solomon Liao		 source 16
WUSS 2008 Surviving Left Truncation Using PROC PHREG Aimee Foreman,
Ginny Lai,
Dave P. Miller		 source 8
SESUG 2008 Surviving Survival Analysis - An Applied Introduction Christianna S. Williams source 17
PHUSE EU 2008 A gentle introduction to Survival Analysis Martin Scottt,
Angelo Tinazzi		 source 13
MWSUG 2008 Creating Macros for Survival Data in Oncology Study Jagannath Ghosh 8
NESUG 2008 Surviving Survival Analysis - An Applied Introduction Christianna S. Williams 17
SGF 2008 Advanced Statistical and Graphical features of SAS PHREG Lida Gharibvand,
George C. J. Fernandez		 source 12
SGF 2008 Survival Data Mining: Treatment of Chronic Illness Patricia B. Cerrito,
John C. Cerrito		 source 19
SESUG 2007 Data Mining Episode Groupers Patricia B. Cerrito source 13
WUSS 2007 Health Outcomes Research Using Time-to-Event Analytic Approaches Tyler C. Smith,
Besa Smith		 source 22
WUSS 2007 Survival Analysis Plots Using SAS ODS Graphics Lida Gharibvand,
George C. J. Fernandez		 source 10
WUSS 2007 They Were Our Dreams - Tables and Graphics for Survival Analysis using ODS Wei Cheng source 13
PharmaSUG 2007 %SurvTab: A SAS Macro to Make Survival Analysis Easier Yinmei Zhou,
St. Jude Children's		 15
PharmaSUG 2007 Clinical Adverse Events Data Analysis and Visualization Shi-Tao Yeh 12
PHUSE EU 2006 Is your output telling you the truth? Tips and Tricks in verifying SAS Outputs Angelo Tinazzi,
Sonia Colombini		 source 7
WUSS 2006 Environmental Samples Below the Limits of Detection - Comparing Regression Methods to Predict Environmental Concentrations Daniel Smith,
Elana Silver,
Martha Harnly		 source 8
WUSS 2006 Get the Correct Hazard Ratio from SAS PROC PHREG Procedure Betty Ying Wang source 7
SUGI 2006 An Application of Survival Analysis to Population Dynamics in Human Capital Management Martin B. Jetton,
Robert Yerex		 source 9
SUGI 2006 Fixed Effects Regression Methods in SAS Paul D. Allison source 20
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
NESUG 2005 Predictive Modeling Using Survival Analysis Vadim Pliner 10
PharmaSUG 2005 %KMPlot - An Enhancement of SAS PROC LIFETEST Weifeng Xu,
William W.B. Wang		 8
NESUG 2004 Clinical Trials Online - Running SAS on the Web Without SAS/IntrNet Quan Ren 15
WUSS 2004 Kaplan Meier And Cox Proportional Hazards Modeling: Hands On Survival Analysis Tyler C. Smith,
Besa Smith		 source 14
WUSS 2004 Survival Analysis Using SAS Macros, ODS and SAS/GRAPH Natalia V. Udaltsova,
Irina V. Tolstykh,
Arthur L Klatsky		 source 9
MWSUG 2004 SAS Macros to Implement Survival Analyses for Oncology Clinical Trials Adeline Yeo 5
PharmaSUG 2004 %Cox_PH - An enhancement of SAS PROC PHREG Hong (Lily) Zhang,
Robin Mogg		 8
SUGI 2004 Clinical Trial Online - Running SAS on the Web without SAS/IntrNet Quan Ren source 16
SUGI 2004 Understanding Customers through Data: A Data Miner's View Gordon Linoff source 2
WUSS 2003 Advanced Analytics with Enterprise Guide Catherine Truxillo,
Stephen McDaniel		 source 9
WUSS 2003 Extending the Use of PROC PHREG in Survival Analysis Christopher F. Ake,
Arthur L. Carpenter		 source 6
SEUGI 2003 Putting Price Tags on Houses - Survival Analysis with Real Estate Data [presentation] Marco Salvi source 18
PharmaSUG 2003 Enhancement of Survival Graphs Joanne C. Zhou 6
PharmaSUG 2003 Using SAS software for Multilevel Models in Survival Analysis Gisela Tunes da Silva 4
SUGI 2003 Cutpoint Determination Methods in Survival Analysis Using SAS Jayawant N. Mandrekar,
Sumithra J. Mandrekar,
Stephen S. Cha		 source 5
SUGI 2003 Enhancement of Survival Graphs Joanne C. Zhou source 6
SUGI 2003 Modeling Customer Lifetime Value Using Survival Analysis - An Application in the Telecommunications Industry Junxiang Lu source 6
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
NESUG 2002 Clinical Trial Online - Running SAS on the Web without SAS/IntrNet Quan Ren 7
NESUG 2002 Graphical Presentation of Survival Analysis Joanne C. Zhou 5
WUSS 2002 Perform Survival Analysis for Clinical Trials Using ODS Wei Cheng source 5
WUSS 2002 Survival Analysis with PHREG: Using MI and MIANALYZE to Accommodate Missing Data Arthur L. Carpenter source 6
SEUGI 2002 A SAS and Java Application for Reporting Clinical Trial Data [presentation] Kevin Kane source 31
SEUGI 2002 Predictin Customer Default Times using Survival Analysis Methods in SAS [presentation] Bart Baesens source 16
PharmaSUG 2002 Clinical Trial Online - Running SAS on the Web without SAS/IntrNet Quan Ren 8
SUGI 2002 Clinical Trial Online - Running SAS on the Web without SAS/IntrNet Quan Ren source 7
SUGI 2002 Graphical Presentation of Survival Analysis Joanne C. Zhou source 4
SUGI 2002 Predicting Customer Churn in the Telecommunications Industry - An Application of Survival Analysis Modeling Using SAS Junxiang Lu source 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
SUGI 2001 Clinical Trial System - A Front End SAS/AF Application Quan Ren source 7
SUGI 2001 Survival Analysis and the Application of Cox's Proportional Hazards Modeling Using SAS Tyler C. Smith,
Besa Smith		 source 9
SESUG 2000 Can A New Interpretation Of Survival Data Help Patients Successfully Modify Adverse Risk Profiles? Gregory L. Pearce source 5
NESUG 2000 Applying Survival Analysis Techniques to Loan Terminations for HUD's Reverse Mortgage Insurance Program - HECM Ming H. Chow 8
WUSS 2000 Graphing the Probability of Hospitalization as a Function of Time Using Estimates and the SAS System's PROC PHREG Tyler C. Smith source 7
SEUGI 2000 Enterprise Guide Version 1.1 [presentation] Adrian Bruty,
Carol Williams Rigsbee		 source 19
SUGI 2000 Calculating the Probability of Hospitalization as a Function of Time, An Application of Cox's Proportional Hazards Modeling Tyler C. Smith source 5
WUSS 1999 Calculating the Probability of Hospitalization as a Function of Time Using the SAS System's PROC PHREG Tyler C. Smith source 5
SEUGI 1999 ALM Modelling at BACOB Bank c.v. [presentation] Marc Hanseene,
Sabine Vanmaercke,
Sigrid Spruyt		 source 22
SEUGI 1999 The Analyst Application [presentation] Frank Boggasch source 13
SUGI 1999 Analyzing Oncology Patient Health Care Costs Using the SAS System Jeff A. Sloan,
Steven S. Cha,
Judith L. Wagner,
Cristine Allmer,
Steven R. Alberts,
Jed Lindman		 source 6
WUSS 1998 Illustration of Improving Kaplan-Meier Plots in the Presence of Heavy Left Truncation Alison J. Canchola source 6
SEUGI 1998 Building an ALM system for the Insurance Industry Koen Van Huffel,
Marc Hansenne		 source 7
NESUG 1997 Creating Complex Graphics for Survival Analyses with the SAS System Steven E. Elkin 7
NESUG 1997 Survival Analysis: Non-Traditional Applications for Non-Statisticians Margaret Ann Goetz 5
MWSUG 1997 An Introduction to Survival Analysis Linda M. Quinn 12
SEUGI 1997 %SUPLANA - a powerful SAS macro routine for survival analysis Angelo Tinazzi,
Valter Torri		 source 6
SEUGI 1997 An application and visualization tool for the exploratory analysis of lifetime data Hans-Peter Altenburg,
Thomas Floren		 source 6
PharmaSUG 1997 A Generalized Macro for Survival Analysis Malini Krishnan,
Hoechst Marion Roussel		 3
SESUG 1996 sl4tistia Dale Preston 7
WUSS 1996 Survival Analysis with Staggered Entry Times and a Time-dependent Covariate Alison J. Canchola source 5
NESUG 1993 Survial Data Analysis - Life Table Methods Wei Zhang 10
SCSUG 1993 Survival Analysis with SAS LIFETEST and PHREG Procedures Zhongmin Li 10
SUGI 1992 Proportional Hazards Analysis of Left-truncated Survival Data Dennis Heisey source 6
NESUG 1991 Using SAS Statistical Procedures in Medical Research Joe Cholewczynski 7
MWSUG 1991 Survival Analysis of Highway Pavements in Illinois James P. Hall 4
SUGI 1991 SAS Applications at the Frankfurt University Hospital Harald Pitz,
Marcus Frenz,
Hans-Peter Howaldt		 source 5
SUGI 1991 The Integration of SAS Software in a Multicentric Tumor Registry Harald Pitz,
Hans-Peter Howaldt,
Marcus Frenz		 source 6
SUGI 1987 Graphical Methods for the Analysis of Survival Data Frank E. Harrell Jr.,
Kerry L. Lee,
Barbara G. Pollock		 source 9
SEUGI 1986 Survival Analysis in the SAS System A Survey E. Meisinger,
M. Strauch,
N. Gretz		 source 8
SEUGI 1984 New Statistical Features in SAS Gerhard Held source 13
SUGI 1980 An Overview of Survival Analysis and SAS Irving K. Hwang source

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