| PharmaSUG |
2025 |
Time to Event Analysis from Sample Size Considerations to Results Interpretation in Simple Words |
|
source |
8 |
| PharmaSUG |
2024 |
Visual discovery in Risk-Based Monitoring using topological models |
Kostiantyn Drach |
source |
31 |
| PharmaSUG |
2023 |
Exploring the spread of COVID-19 in the United States using unsupervised graph-based machine learning |
Kostiantyn Drach |
source |
39 |
| PharmaSUG |
2023 |
SDTM Variables You Might Forget About |
Nadiia Pukhliar, Dariia Tsyhanenko |
source |
10 |
| PHUSE US |
2023 |
Cluster analysis vs. graph-based machine learning: the battle of the strongest in pattern recognition |
Kostiantyn Drach |
source presentation source |
31 |
| PHUSE US |
2021 |
COVID-19 Outbreak Visualization Using a Clinical Data Science Platform [presentation] |
Sergey Glushakov |
source video |
15 |
| PHUSE EU |
2020 |
Understanding the Spread of COVID-19 in the United States Using Topology and Machine Learning for Time Series |
Kostiantyn Drach |
source video presentation source |
32 |
| PharmaSUG |
2018 |
"A tale of a tail" or how to make your graph more informative |
|
source |
12 |
| PharmaSUG |
2017 |
Same statistical method different results? Don-t panic the reason might be obvious. |
|
source |
8 |
| PharmaSUG |
2017 |
Topology-based Clinical Data Mining for Discovery of Hidden Patterns in Multidimensional Data |
Sergey Glushakov, Andrey Rekalo |
source |
20 |
| PharmaSUG |
2015 |
Firefighters - clinical trial analysis teams |
|
source |
4 |