dichotomousDR

A dataset containing 733 dichotomous dose-response studies that were involved in 
regulatory risk assessment.

datasets

Toxicology routines for analyzing dose-response data include dose-response analysis
and trend tests. Dose-Response methods are based upon the US EPA's benchmark dose software 3. Methods have
been extended to include additional functionality based on World Health Organization
guidelines. It further supports the European Food Safety Authority's
draft guidance on model averaging. The dose-response methods and datasets used in this package are
described in Wheeler et al. (2019) <doi:10.1111/risa.13218>, Wheeler et al. (2020) <doi:10.1111/risa.13537>,
and Wheeler et al. (2022) <doi:10.1002/env.2728>. NTP routines are described in
Bailer and Portier (1988) <doi:10.2307/2531856>, Bieler and Williams (1993) <doi:10.2307/2532200>,
Williams (1971) <doi:10.2307/2528930>, and Shirley (1977) <doi:10.2307/2529789>.

Matt Wheeler

ToxicR

Analyzing Toxicology Dose-Response Data

Sooyeong Lim

Eric Wimberly

Keith Shockley

Jennifer Fostel

Lonlong Yang

Dawan Taley

Cari Martini

Ashwin Raghuraman

Steven Johnson

Aymeric Stamm

Dirk Eddelbuettel

U.S. Deptartment of Health and Human Services (US HHS), National Institute of Environmental Health Sciences (NIEHS) 

dichotomousDR function

A data frame with 2727 rows and 11 variables:<dl>
 <dt>ID</dt>
<dd>-The study ID in the database.</dd> <dt>chemical</dt>
<dd>-Name of the Chemical in the study.</dd> <dt>data.source</dt>
<dd>-Source of the risk assessment data.</dd> <dt>CASRN</dt>
<dd>-Chemical's CASRN</dd> <dt>dose</dt>
<dd>-Dose spacing of the study using the original study.</dd> <dt>r.dose</dt>
<dd>-Doses of the experiment relative to 1 being the maximum dose tested.</dd> <dt>n</dt>
<dd>-Number of animals on test.</dd> <dt>obs</dt>
<dd>-Number of adverse events.</dd> <dt>organ</dt>
<dd>-Organ impacted.</dd> <dt>effect</dt>
<dd>-Type of adverse effect.</dd> <dt>study.source</dt>
<dd>-Publication related to the experiment.</dd>
</dl>More information at: tools:::Rd_expr_doi("10.1111/risa.13218")

Format

733 unique dose-response datasets — dichotomousDR

A data frame with 2727 rows and 11 variables:<dl>
 <dt>ID</dt>
<dd>-The study ID in the database.</dd>

 <dt>chemical</dt>
<dd>-Name of the Chemical in the study.</dd>

 <dt>data.source</dt>
<dd>-Source of the risk assessment data.</dd>

 <dt>CASRN</dt>
<dd>-Chemical's CASRN</dd>

 <dt>dose</dt>
<dd>-Dose spacing of the study using the original study.</dd>

 <dt>r.dose</dt>
<dd>-Doses of the experiment relative to 1 being the maximum dose tested.</dd>

 <dt>n</dt>
<dd>-Number of animals on test.</dd>

 <dt>obs</dt>
<dd>-Number of adverse events.</dd>

 <dt>organ</dt>
<dd>-Organ impacted.</dd>

 <dt>effect</dt>
<dd>-Type of adverse effect.</dd>

 <dt>study.source</dt>
<dd>-Publication related to the experiment.</dd>


</dl>More information at: tools:::Rd_expr_doi("10.1111/risa.13218")

733 unique dose-response datasets

dichotomousDR: 733 unique dose-response datasets

Description

Usage

Arguments

Format