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Innhold levert av Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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Prediction Modeling

26:44
 
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Manage episode 441453330 series 2400265
Innhold levert av Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Interview with Chantelle Cornett

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!

  continue reading

403 episoder

Artwork
iconDel
 
Manage episode 441453330 series 2400265
Innhold levert av Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry, Alexander Schacht, Benjamin Piske, and Leaders in the pharma industry eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Interview with Chantelle Cornett

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!

  continue reading

403 episoder

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