by Dennis R. Helsel
at market price from your favorite bookseller
This second edition (2012) of the Nondetects And Data Analysis textbook (1st ed. 2004) introduces and explains methods for analyzing and interpreting censored ("nondetect") data in the environmental sciences. Adapting survival analysis techniques from other fields, the book translates well-established methods from other disciplines into new solutions for environmental studies. It applies methods of survival analysis, including methods for interval-censored data to the interpretation of low-level contaminants in environmental sciences and occupational health. New to the second edition was a chapter on multivariate methods for censored data, the use of interval-censored methods (especially for "remarked data" between the detection and quantitation limits), and expanded coverage of graphical methods for censored data. The basis for our Nondetects And Data Analysis online course and webinars.
Helsel, D.R. (2012) Statistics for censored environmental data using Minitab and R (2nd edition). on the publisher's (Wiley) page
Register for the free online course, now available on our NADA course page.
Reviews of the First Edition:
"
Sound methods......a practical guide"
SETAC Globe, March 2005
"
I would recommend this book for anyone conducting or reviewing the analysis and reporting of environmental data..." Technometrics, February 2006
"
..clear explanations...good instructions...solid advice...This is the book I will share with consulting clients who have data with below detection limit values." Journal of the American Statistical Association, March 2006
"
...a 'must-have' desk reference for environmental practitioners dealing with censored datasets." Vadose Zone Journal, February 2006
Reviews on Amazon:
"This book should be owned, and read, by anyone and everyone who ever has to deal with environmental monitoring data." -- Tim Bray
"Excellent Resource" -- Jill Lundell
"Sensible advice...I recently incorporated many of the concepts from this book into regulatory requirements for coastal water quality standards" -- Steve Saiz
"This book fills a huge gap by providing proper statistical methods from the fields of medical and industrial research to the analysis of censored environmental data. ... I have found the information to be extremely helpful in my work as an in-house environmental consultant working for a large manufacturing company." -- Saul Furstein
