کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5560136 1403309 2017 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Probabilistic assessment method of the non-monotonic dose-responses-Part I: Methodological approach
ترجمه فارسی عنوان
روش ارزیابی احتمالی پاسخ دوزهای غیر مونوتونی - قسمت اول: رویکرد روش شناسی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک دانش تغذیه
چکیده انگلیسی


- A method was established to assess a probabilistic characterization of NMDRCs.
- The methodology is based on a sampling principle and a statistical comparison.
- Characterization is performed according to the definition of the non-monotonicity.
- It is applicable to all data and can be used to characterize all types of curves.
- This study presents the general principle of the method and some results.

More and more studies aim to characterize non-monotonic dose response curves (NMDRCs). The greatest difficulty is to assess the statistical plausibility of NMDRCs from previously conducted dose response studies. This difficulty is linked to the fact that these studies present (i) few doses tested, (ii) a low sample size per dose, and (iii) the absence of any raw data.In this study, we propose a new methodological approach to probabilistically characterize NMDRCs. The methodology is composed of three main steps: (i) sampling from summary data to cover all the possibilities that may be presented by the responses measured by dose and to obtain a new raw database, (ii) statistical analysis of each sampled dose-response curve to characterize the slopes and their signs, and (iii) characterization of these dose-response curves according to the variation of the sign in the slope.This method allows characterizing all types of dose-response curves and can be applied both to continuous data and to discrete data.The aim of this study is to present the general principle of this probabilistic method which allows to assess the non-monotonic dose responses curves, and to present some results.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Food and Chemical Toxicology - Volume 106, Part A, August 2017, Pages 376-385
نویسندگان
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