The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

Prediction Modeling

Download it: MP3 | AAC | OGG | OPUS

Key points:

  • Predictive Models: Forecast future outcomes based on historical data.
  • Model Building: Process of analyzing data, training, and testing models.
  • Validation: Ensures model reliability and accuracy.
  • Healthcare Applications: Use in survival rates, treatment responses.
  • Technical Discussion: Pruning models, interpretability, data considerations.
  • Tools: Use of R, Python, SAS for building predictive models.
  • Collaboration: Importance of interdisciplinary work, combining traditional statistics with AI/ML techniques.

Chantelle shares valuable insights into building, testing, and validating these models, showing just how powerful and essential they are.

If you found this discussion insightful, listen to the full episode to dive deeper into the technical details and practical applications of predictive modeling. And if you know others who would benefit from this knowledge, share the episode with them. Let’s spread these valuable insights together!


Comments


New comment

By submitting your comment you agree that the content of the field "Name or nickname" will be stored and shown publicly next to your comment. Using your real name is optional.

About this podcast

The podcast from statisticians for statisticians to have a bigger impact at work. This podcast is set up in association with PSI - Promoting Statistical Insight. This podcast helps you to grow your leadership skills, learn about ongoing discussions in the scientific community, build you knowledge about the health sector and be more efficient at work. This podcast helps statisticians at all levels with and without management experience. It is targeted towards the health, but lots of topics will be important for the wider data scientists community.

by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry

Subscribe

Follow us