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Content provided by Adeline Lopez and NIEHS Superfund Research Program. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Adeline Lopez and NIEHS Superfund Research Program or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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Using a New Model to Identify Health-Impacting Metal Mixtures

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Manage episode 471124732 series 3017470
Content provided by Adeline Lopez and NIEHS Superfund Research Program. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Adeline Lopez and NIEHS Superfund Research Program or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Researchers funded by the NIEHS Superfund Research Program, or SRP, developed the linear mixed-effects model – abbreviated as LMM – a framework for statistical analysis, to quickly and effectively estimate the effects of individual metals and metal mixtures on zebrafish larvae behaviors.
  continue reading

168 episodes

Artwork
iconShare
 
Manage episode 471124732 series 3017470
Content provided by Adeline Lopez and NIEHS Superfund Research Program. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Adeline Lopez and NIEHS Superfund Research Program or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Researchers funded by the NIEHS Superfund Research Program, or SRP, developed the linear mixed-effects model – abbreviated as LMM – a framework for statistical analysis, to quickly and effectively estimate the effects of individual metals and metal mixtures on zebrafish larvae behaviors.
  continue reading

168 episodes

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