| 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 |
Mapping Minimal Residual Disease (MRD) Biomarker Data in Hematologic Malignancies: Clinical Significance and Data Standards in SDTM and ADaM |
Jyothi Nelakurthi |
source presentation source |
8 |
| PHUSE APAC |
2026 |
Beyond Toxicity : Accelerating Dose -Finding with Pharmacokinetic -Driven Bayesian Design PKBOIN-12 |
Anetta Mary Xavier |
source presentation source |
13 |
| PHUSE APAC |
2026 |
Future-Focused Real-World Data Use Strategies: Resilience and Innovation at Chugai |
Wataru Ohtsuka, Nauta Yamanaka |
source presentation source |
8 |
| PHUSE EU |
2025 |
Showcasing a Shiny Tool for Evaluating Biomarkers for Derisking Clinical Trials |
Stefan Thoma |
source presentation source |
9 |
| PharmaSUG |
2025 |
Avoiding the Ouch: Mastering Time to Pain Progression Analysis |
Kavitha Boinapally, Sai Krishna Pavan Nakirikanti, Hank Dennis, Yang Wang |
source |
9 |
| PharmaSUG |
2025 |
Guidance from the FDA authored "Submitting Patient-Reported Outcome Data in Cancer Clinical Trials" and recommendations for their implementation in study CDISC COA data. |
Charity Quick |
source |
14 |
| PharmaSUG |
2025 |
Methodology for AI-driven Outcome Prediction for Patients with Atrial Fibrillation After Transcatheter Aortic Valve Implantation (TAVI) |
Felix Just, Krishna Padmanabhan, Parth Jinger, Amanda Borrow, Rüdiger Smolnik, Eva-Maria Fronk, Neelam Yadav, Sergei Krivtcov, Stas Zakharkin, Martin Unverdorben, Asmir Vodencarevic |
source |
6 |
| PHUSE EU |
2024 |
Clinical Disease Endpoint Flag Implementation for Vaccine Studies |
Charumathy Sreeraman |
source presentation source |
7 |
| PHUSE EU |
2024 |
Guidance Beyond the SDTM Implementation Guide |
Kristin Kelly |
source presentation source |
10 |
| PharmaSUG CN |
2024 |
Implementing Statistical Methods in Companion Diagnostic: A Case Study in NSCLC |
Danxia Hu, Mandy Gao, Jianyong Tong |
source |
10 |
| PharmaSUG |
2024 |
Guidance Beyond the SDTM Implementation Guide |
Kristin Kelly, Michael Beers |
source |
11 |
| PharmaSUG |
2024 |
Guideline for Creating Unique Subject Identifier in Pooled studies for SDTM |
Vibhavari Honrao |
source |
5 |
| PharmaSUG |
2024 |
Oncology ADaM Datasets Creation Using R Programming: A Comprehensive Approach |
Ishwar Chouhan |
source |
29 |
| PHUSE US |
2024 |
Guidance Beyond the SDTM Implementation Guide |
Michael Beers, Blue Bell |
source presentation source |
10 |
| PHUSE EU |
2023 |
Efficacy Endpoints in Adjuvant and Neo-Adjuvant Oncology Trials |
Yuliia (Piddubna) Cherednichenko, Anna Amosova |
source presentation source |
15 |
| PHUSE EU |
2023 |
Real-World Outcomes and Biomarker Testing in Cancer Patients: Exploration of a Novel Genetic Database from Routine Clinical Practice in England |
Alexandrina Lambova, Fiona Ingleby |
source presentation source |
5 |
| PharmaSUG |
2023 |
Comparison of My Experience Between an Independent Consultant and an Employee |
Kriss Harris |
source |
11 |
| PharmaSUG |
2023 |
FDA's Study Data Policy Framework and How CDISC Properties Are Evaluated for Inclusion |
Helena Sviglin |
source |
20 |
| PHUSE EU |
2022 |
From 'Being Alive' to 'Living': Why Does PRO Data Matter? [poster] |
Nimisha Joshi, Rachel Thackray |
source |
1 |
| PharmaSUG |
2022 |
Begin with the End in Mind: eCOA data from collection to analysis |
Franklin E. Menius, Monali Khanna, Vincent Allibone |
source |
7 |
| PharmaSUG |
2022 |
Finding Accord: Developing an eCOA Data Transfer Specification (DTS) All Can Agree On |
Franklin E. Menius, Monali Khanna, Vincent Allibone |
source |
12 |
| PHUSE US |
2022 |
The Decentralized Trials Data Problem: Foundations for the Future of Clinical Trials [presentation] |
Raj Indupuri |
source video |
11 |
| PHUSE EU |
2021 |
Data Engineering - An Emerging Skill for Today's Statistical Programmers [presentation] |
Axel Muehlig, Sangeeta Bhattacharya |
source video |
18 |
| PHUSE EU |
2021 |
Incorporating Novel Real-world Evidence Across the Drug Development Continuum: Leveraging the Value of Digital Social Media [presentation] |
Nardin Farid, Stephen Doogan |
source video |
24 |
| PHUSE US |
2021 |
COVID-19 Outbreak Visualization Using a Clinical Data Science Platform [presentation] |
Iryna Kotenko, Sergey Glushakov |
source video |
15 |
| PHUSE US |
2021 |
The Case for Pandemic-disrupted Studies and Challenges Implementing CDISC and FDA COVID-19 Guidelines for NDA Submissions [presentation] |
Vidya Muthukumar |
source |
44 |
| PHUSE EU |
2020 |
Implementing FAIR in OHDSI: Challenges and Opportunities in EHDEN [presentation] |
Tess Korthout |
source video |
23 |
| PHUSE EU |
2020 |
Rare Diseases - The Challenges of Programming Novel eCOA Endpoints [presentation] |
Luke Thompson |
source video |
24 |
| PHUSE EU |
2020 |
Template-based Graph Generation in Python and its Maintenance in Git [presentation] |
Pournima Prabhakaran |
source video |
21 |
| PHUSE EU |
2020 |
Understanding the Spread of COVID-19 in the United States Using Topology and Machine Learning for Time Series |
Iryna Kotenko, Kostiantyn Drach |
source video presentation source |
32 |
| SGF |
2020 |
Transdermal Medicine - Challenges and Solutions with SAS |
Marina Komaroff |
source |
14 |
| PHUSE US |
2020 |
Integration of Biomarkers Data in Clinical Trials |
Prakash Dev |
source presentation source |
5 |
| PHUSE US |
2020 |
Real-time Oncology Review - Applicant Experience |
Annie Varghese |
source presentation source |
5 |
| PHUSE EU |
2019 |
Sub-population Detection Using Graph-based Machine Learning |
Sergey Glushakov, Kostiantyn Drach |
source |
28 |
| PharmaSUG |
2019 |
This Paper focuses on CDISC Questionnaires, Ratings and Scales (QRS) supplements and types of FDA Clinical Outcome Assessments |
Shrishaila Patil |
source |
10 |
| PHUSE US |
2019 |
Creating the Virologic Response ADaM Dataset |
Manjusha Alapati |
source presentation source |
7 |
| PHUSE EU |
2018 |
Handling Missing Data in Clinical Trials Using Topological Data Analysis |
Sergey Glushakov, Andrey Rekalo |
source presentation source |
10 |
| WUSS |
2018 |
Combined Predictor Selection for Multiple Clinical Outcomes Using PHREG |
L. Grisell Diaz-Ramirez, Siqi Gan, Sei J. Lee, Alexander Smith, John Boscardin |
source |
14 |
| PHUSE US |
2018 |
Going Pro with PROs: Implementation and Analysis of Patient Reported Outcomes |
Shilpakala Vasudevan |
source presentation source |
12 |
| PHUSE US |
2018 |
Modeling and Text Analysis to Empower FAERS Adverse Event Mitigation |
Qais Hatim, Emily McRae |
source presentation source |
24 |
| PharmaSUG |
2018 |
Animated Multi-dimensional Scatter Plot Visualization for Longitudinal Clinical Trial Data Reporting |
Tao Shu, Jianfei Jiang |
source |
7 |
| PHUSE EU |
2017 |
A Target Approach to Medical and Safety Reviews |
Erik Doffagne |
source presentation source |
2 |
| PHUSE EU |
2017 |
Topology-based Clinical Data Mining: Identifying Hidden Patterns in Clinical Datasets |
Sergey Glushakov |
source presentation source |
18 |
| PharmaSUG |
2017 |
A Practical Guide to Healthcare Data: Tips, Traps, and Techniques |
Gregory S. Barnes Nelson |
source |
20 |
| PharmaSUG |
2017 |
Topology-based Clinical Data Mining for Discovery of Hidden Patterns in Multidimensional Data |
Sergey Glushakov, Iryna Kotenko, Andrey Rekalo |
source |
20 |
| SGF |
2017 |
A Practical Guide to Healthcare Data: Tips, Traps, and Techniques |
Gregory S. Barnes Nelson |
source |
20 |
| SGF |
2017 |
What Is Needed for True Population Health Intelligence? |
Laurie Rose, Dan Stevens |
source |
8 |
| MWSUG |
2016 |
The Power of Cumulative Distribution Function (CDF) Plot in Assessing Clinical Outcomes |
Min Chen, Patricia Kultgen |
|
6 |
| PHUSE EU |
2014 |
Analysis of Self-Reported Health Outcomes Data from Web-Based Media Sources |
Mark Wolff, Kenneth Lopiano |
source presentation source |
2 |
| PharmaSUG |
2014 |
Creating a Career GPS to Enhance Your Opportunities: Ten Steps to Improve Your Value by Strengthening Your Planning |
Bill Donovan, Shridhar Patel |
source |
3 |
| PHUSE EU |
2013 |
Oncology Endpoints: An Unexpected Journey |
Waseem Jugon, Mijanur Rahman |
source |
12 |
| PharmaSUG |
2012 |
Using SAS to Calculate Noncompartmental Urine Parameters |
Vanessa Rubano, Modesta Wiersema |
source |
8 |
| SGF |
2012 |
Cluster Mapping of Medicare Severity Diagnosis-Related Groups for ICD-10 Conversions |
Keith A. Jones |
source |
11 |
| PharmaSUG |
2011 |
Cost-Effectiveness Of Primary PCI At Hospitals Without Onsite CaABG |
Pedro Ramos |
source |
21 |
| SGF |
2011 |
Modeling Percentage Outcomes: The %Beta_Regression Macro |
Christopher J. Swearingen, Maria S. Melguizo, Zoran Bursac |
source |
12 |
| SGF |
2010 |
Pleasing the Client: Creating Custom Reports with SAS ODS LAYOUT and the REPORT Procedure |
Barbara B. Okerson |
source |
9 |
| SESUG |
2009 |
Pleasing the Client: Creating Custom Reports with SAS ODS Layout and Proc Report |
Barbara B. Okerson |
source |
9 |
| MWSUG |
2008 |
A Multivariate Ranking Procedure to Assess Treatment Effects |
Alan Y Chiang, Grace Li, Ying Ding, Ming-Dauh Wang |
|
7 |
| PharmaSUG |
2003 |
Use of Text Miner to Automatically Abstract Patient Information from the Pharmacy Order Database |
Patricia B. Cerrito, Antonio Badia, John C. Cerrito, James A. Cox |
|
6 |
| SESUG |
2000 |
SAS IML Code To Calculate an Upper Confidence Limit for Multivariate Statistical Distance |
Margaret Connolly, Wyeth Lederle Vaccines, Pearl River |
source |
6 |
| SUGI |
1998 |
Developing Risk-Adjustment Models Using SAS Software: An Application in Home Health Care |
Ding Alonzo, Albert Alva |
source |
4 |
| WUSS |
1996 |
SAS PROC MIXED to Fit Growth Curve Models: Application to a Longitudinal Group Randomization Study |
Biao Wm. Lu, Sandra Wilson, David Latini, David Dayton |
source |
6 |