QMRA for Drinking Water: 2. The Effect of Pathogen Clustering in Single-Hit Dose-Response Models

Risk Analysis ◽  
2016 ◽  
Vol 36 (1) ◽  
pp. 163-181 ◽  
Author(s):  
Vegard Nilsen ◽  
John Wyller
Keyword(s):  
Drinking Water ◽  
Dose Response ◽  
Response Models

QMRA for Drinking Water: 1. Revisiting the Mathematical Structure of Single-Hit Dose-Response Models

Risk Analysis ◽  
2016 ◽  
Vol 36 (1) ◽  
pp. 145-162 ◽  
Author(s):  
Vegard Nilsen ◽  
John Wyller
Keyword(s):  
Drinking Water ◽  
Dose Response ◽  
Mathematical Structure ◽  
Response Models

scholarly journals Dose-response meta-analysis of arsenic exposure in drinking water and hypertension

Heliyon ◽  
2021 ◽  
Vol 7 (3) ◽  
pp. e06409
Author(s):  
Afsaneh Amiri ◽  
Yaser Mokhayeri ◽  
Rasool Mohammadi ◽  
Mohammad Amin Karami ◽  
Mansour Ghaderpoori ◽  
...  
Keyword(s):  
Drinking Water ◽  
Dose Response ◽  
Meta Analysis ◽  
Arsenic Exposure

scholarly journals Weighted mixed-effects dose–response models for tables of correlated contrasts

2021 ◽  
Vol 21 (2) ◽  
pp. 320-347
Author(s):  
Nicola Orsini
Keyword(s):  
Dose Response ◽  
Response Pattern ◽  
Mixed Effects ◽  
Data Generation ◽  
Measures Of Association ◽  
Response Models ◽  
Response Data ◽  
Hazard Ratios ◽  
Health Related ◽  
Generation Mechanisms

Recognizing a dose–response pattern based on heterogeneous tables of contrasts is hard. Specification of a statistical model that can consider the possible dose–response data-generating mechanism, including its variation across studies, is crucial for statistical inference. The aim of this article is to increase the understanding of mixed-effects dose–response models suitable for tables of correlated estimates. One can use the command drmeta with additive (mean difference) and multiplicative (odds ratios, hazard ratios) measures of association. The postestimation command drmeta_graph greatly facilitates the visualization of predicted average and study-specific dose–response relationships. I illustrate applications of the drmeta command with regression splines in experimental and observational data based on nonlinear and random-effects data-generation mechanisms that can be encountered in health-related sciences.

Conventional and alternative dose–response models to estimate nutrient requirements of aquaculture species

Aquaculture ◽  
2009 ◽  
Vol 292 (3-4) ◽  
pp. 207-213 ◽  
Author(s):  
Alfredo Hernandez-Llamas
Keyword(s):  
Dose Response ◽  
Nutrient Requirements ◽  
Response Models

scholarly journals The Application of Dose-Response Models to Determine the Median Effective Adsorbent Bone Char Dose to Remove Fluoride From Drinking Aqueous Solutions

2016 ◽  
Vol 23 (3) ◽  
pp. 237-248
Author(s):  
Sara Zebarjadi ◽  
Ali Reza Soltanian ◽  
Javad Faradmal ◽  
Ghorban Asgari ◽  
Keyword(s):  
Aqueous Solutions ◽  
Dose Response ◽  
Bone Char ◽  
Response Models

Development of Dose-Response Models to Predict the Relationship for HumanToxoplasma gondiiInfection Associated with Meat Consumption

Risk Analysis ◽  
2015 ◽  
Vol 36 (5) ◽  
pp. 926-938 ◽  
Author(s):  
Miao Guo ◽  
Abhinav Mishra ◽  
Robert L. Buchanan ◽  
Jitender P. Dubey ◽  
Dolores E. Hill ◽  
...  
Keyword(s):  
Dose Response ◽  
Meat Consumption ◽  
Response Models ◽  
The Relationship

Improving the Development and Use of Biologically Based Dose Response Models (BBDR) in Risk Assessment

2001 ◽  
Vol 7 (5) ◽  
pp. 1091-1120 ◽  
Author(s):  
Robert S. DeWoskin ◽  
Stan Barone ◽  
Harvey J. Clewell ◽  
R. Woodrow Setzer
Keyword(s):  
Risk Assessment ◽  
Dose Response ◽  
Response Models
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