Asset Details
Do you wish to reserve the book?
Complex Mixtures, Complex Analyses: an Emphasis on Interpretable Results
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Complex Mixtures, Complex Analyses: an Emphasis on Interpretable Results
Do you wish to request the book?
Complex Mixtures, Complex Analyses: an Emphasis on Interpretable Results
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Complex Mixtures, Complex Analyses: an Emphasis on Interpretable Results
2019
Overview
Purpose of Review
The purpose of this review is to outline the main questions in environmental mixtures research and provide a non-technical explanation of novel or advanced methods to answer these questions.
Recent Findings
Machine learning techniques are now being incorporated into environmental mixture research to overcome issues with traditional methods. Though some methods perform well on specific tasks, no method consistently outperforms all others in complex mixture analyses, largely because different methods were developed to answer different research questions. We discuss four main questions in environmental mixtures research: (1) Are there specific exposure patterns in the study population? (2) Which are the toxic agents in the mixture? (3) Are mixture members acting synergistically? And, (4) what is the overall effect of the mixture?
Summary
We emphasize the importance of robust methods and interpretable results over predictive accuracy. We encourage collaboration with computer scientists, data scientists, and biostatisticians in future mixture method development.
Publisher
Springer International Publishing,Springer Nature B.V
Subject
/ Complex Mixtures - chemistry
/ Complex Mixtures - pharmacology
/ Environmental Exposure - analysis
/ Environmental Pollutants - analysis
/ Environmental Pollutants - toxicity
/ Humans
/ Methods in Environmental Epidemiology (AZ Pollack and NJ Perkins
/ Mixtures
/ Topical Collection on Methods in Environmental Epidemiology
/ Toxicity
