| PHUSE US |
2026 |
Applying Artificial Intelligence (AI) for Optimal Dose Selection in Oncology |
Zoran Antonijevic |
source
presentation source |
5 |
| PHUSE APAC |
2026 |
Leveraging Historical Control Data Through Adaptive Bayesian Hierarchical Models |
Ajoy Mukhopadhyay,
Debarghya Baul |
source
presentation source |
12 |
| PHUSE EU |
2025 |
Beyond the Code: Leading Innovation from the Heart of Statistical Programming |
Bhavesh Patkar |
source
presentation source |
5 |
| PHUSE US |
2025 |
Optimising Regulatory Submissions: The Role of eCTD, Real-World Evidence and AI |
Kishore Pothuri |
source
presentation source |
5 |
| 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 |
| PHUSE EU |
2024 |
Failed Clinical Trials: How to Benefit From Negative Experience |
Anna Amosova |
source
presentation source |
13 |
| PharmaSUG |
2024 |
Optimizing Clinical Data Processes: Harnessing the Power of Metadata Repository (MDR) for Innovative Study Design (ISD) and Integrated Summary of Safety (ISS) / Efficacy (ISE) |
Lakshmi Mantha,
Purvi Kalra,
Arunateja Gottapu |
source |
9 |
| PharmaSUG |
2023 |
An End-to-End and Fully Integrated Clinical Development Platform with eDC/Labs data Data Management, Medical Review, Statistical Analysis and Adaptive Design etc. |
Peter Wang,
Vindyala Sunil |
source |
6 |
| PharmaSUG |
2023 |
Shifting the drug development paradigm with Adaptive Design and master protocol |
Aman Bahl |
source |
16 |
| PHUSE US |
2023 |
Handling Multiple Adaptations in One Clinical Trial |
Parvee Kumar,
Shrutimita Pokhariyal |
source
presentation source |
6 |
| PHUSE US |
2023 |
Recasting Trial Designs with Digital Endpoints: A SWOT Analysis |
Kishore Shyamala |
source
presentation source |
7 |
| PHUSE EU |
2022 |
Adaptive Design - Better Bend Than Break [presentation] |
Albin John,
Athira Sudhakar |
source |
15 |
| PharmaSUG |
2022 |
Agile innovation - an adaptive approach to transformation in Clinical Research Organizations |
Aman Bahl,
Hrideep Antony |
source |
10 |
| PHUSE US |
2022 |
Trial Summary SDTM Domain Made Easy for Regulatory Submissions [presentation] |
Kishore Pothuri |
source |
16 |
| PHUSE US |
2021 |
Generating .xpt files with SAS, R and Python [presentation] |
Todd Case |
source
video |
22 |
| PHUSE US |
2021 |
Leadership Presentations: LE06: One Sprint at a Time - Agile Transformation in Clinical Research [presentation] |
Aman Bahl,
Steve Benjamin |
source |
17 |
| PharmaSUG |
2021 |
Delight the Customer using agile transformation in Clinical Research |
Aman Bahl,
Steve Benjamin,
Hrideep Antony |
source |
9 |
| PharmaSUG |
2021 |
How simulation will impact the future of Healthcare & Life Sciences. |
Pritesh Desai,
Allison Sealy,
Shawn Tedman,
Lois Wright,
Bahar Biller |
source |
14 |
| PHUSE US |
2020 |
Adapting to Adaptive Clinical Trials [poster] |
Renu Shukla,
Wenmei Ge |
source |
1 |
| PharmaSUG |
2019 |
Practical Perspective in Sample Size Determination |
Bill Coar |
source |
16 |
| PHUSE US |
2018 |
Planning and Executing a Two-Stage Adaptive Design with Interim Analysis [poster] |
Katy Jaffee |
source |
1 |
| PHUSE EU |
2015 |
Innovative Approach to Building an Adaptive Trial Design in Medidata Rave |
Joris De Bondt,
Tine Seeuws |
source
presentation source |
5 |
| PharmaSUG |
2015 |
Analysis Methods for a Sequential Parallel Comparison Design (SPCD) |
Harry Haber,
James Zuazo,
Linda LaMoreaux |
source |
11 |
| PHUSE EU |
2014 |
Data Challenges in Adaptive Trials |
Claudio Garutti |
source
presentation source |
5 |
| PHUSE EU |
2014 |
PROC EASTMONITOR - A SAS Add-on for Monitoring Adaptive Clinical Trials |
Sheetal Solanki,
Ajay Sathe |
source
presentation source |
15 |
| PHUSE EU |
2013 |
Posch-Bauer Seamless Test with SAS |
Antonio Nieto,
Javier Gómez |
source
presentation source |
4 |
| PHUSE EU |
2013 |
Supporting End to End Standards in Study Setup |
Anna Louise Wilson |
source
presentation source |
5 |
| SGF |
2013 |
Doctoring Your Clinical Trial with Adaptive Randomization: SAS Macros to Perform Adaptive Randomization |
Jenna Colavincenzo |
source |
9 |
| PHUSE EU |
2011 |
Access Control Execution Systems (ACES) |
Shailesh Kulthe,
Eric Silva |
source |
10 |
| PHUSE EU |
2011 |
Programming for Early and Late Phase - really that different? |
Katherine Macey |
source
presentation source |
6 |
| PHUSE EU |
2011 |
State of the union: what does the future hold for statistical programming in Europe [presentation] |
Leo Valmas |
source |
28 |
| PHUSE EU |
2009 |
An Application of SAS in Model Based Drug Development |
Imelda Parker,
Michael O'Kelly |
source |
4 |
| PHUSE EU |
2009 |
The role of the statistician in data monitoring committees |
Fritz Schindel |
source |
28 |
| PharmaSUG |
2009 |
Working with a CRO/TPO Using SDD to Implement an Adaptive Design Clinical Trial Monitored by a DMC |
Maruful Chowdhury Eli Lilly |
|
3 |
| PHUSE EU |
2008 |
Decimaker: A statistical software using R, Microsoft .NET, R (D)COM Server and graphical libraries |
Julien Vanwinsberghe,
Francois Vandenhende |
source |
10 |
| SGF |
2007 |
Using SAS to Determine Sample Sizes for Traditional Two-Stage and Adaptive Two-Stage Phase II Cancer Clinical Trial Designs |
St. Clare Groulx,
Adrienne Moon,
Kyung-hee Chung |
source |
9 |
| PHUSE EU |
2005 |
Best Practices for Managing Clinical Research Information |
David Handelsman |
source |
16 |
HOME
QUICK SEARCH
AUTHORS
KEYWORDS
HELP
BUGS