The Experts below are selected from a list of 225 Experts worldwide ranked by ideXlab platform
W J Muller - One of the best experts on this subject based on the ideXlab platform.
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an assessment of two step linear regression and multifactor Probit Analysis as alternatives to acute to chronic ratios in the estimation of chronic response from acute toxicity data to derive water quality guidelines
Integrated Environmental Assessment and Management, 2007Co-Authors: Andrew R Slaughter, Carolyn G Palmer, W J MullerAbstract:In aquatic ecotoxicology, acute to chronic ratios (ACRs) are often used to predict chronic responses from available acute data to derive water quality guidelines, despite many problems associated with this method. This paper explores the comparative protectiveness and accuracy of predicted guideline values derived from the ACR, linear regression Analysis (LRA), and multifactor Probit Analysis (MPA) extrapolation methods applied to acute toxicity data for aquatic macroinvertebrates. Although the authors of the LRA and MPA methods advocate the use of extrapolated lethal effects in the 0.01% to 10% lethal concentration (LC0.01-LC10) range to predict safe chronic exposure levels to toxicants, the use of an extrapolated LC50 value divided by a safety factor of 5 was in addition explored here because of higher statistical confidence surrounding the LC50 value. The LRA LC50/5 method was found to compare most favorably with available experimental chronic toxicity data and was therefore most likely to be sufficiently protective, although further validation with the use of additional species is needed. Values derived by the ACR method were the least protective. It is suggested that there is an argument for the replacement of ACRs in developing water quality guidelines by the LRA LC50/5 method.
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An assessment of two‐step linear regression and multifactor Probit Analysis as alternatives to acute to chronic ratios in the estimation of chronic response from acute toxicity data to derive water quality guidelines
Integrated environmental assessment and management, 2007Co-Authors: Andrew R Slaughter, Carolyn G Palmer, W J MullerAbstract:In aquatic ecotoxicology, acute to chronic ratios (ACRs) are often used to predict chronic responses from available acute data to derive water quality guidelines, despite many problems associated with this method. This paper explores the comparative protectiveness and accuracy of predicted guideline values derived from the ACR, linear regression Analysis (LRA), and multifactor Probit Analysis (MPA) extrapolation methods applied to acute toxicity data for aquatic macroinvertebrates. Although the authors of the LRA and MPA methods advocate the use of extrapolated lethal effects in the 0.01% to 10% lethal concentration (LC0.01-LC10) range to predict safe chronic exposure levels to toxicants, the use of an extrapolated LC50 value divided by a safety factor of 5 was in addition explored here because of higher statistical confidence surrounding the LC50 value. The LRA LC50/5 method was found to compare most favorably with available experimental chronic toxicity data and was therefore most likely to be sufficiently protective, although further validation with the use of additional species is needed. Values derived by the ACR method were the least protective. It is suggested that there is an argument for the replacement of ACRs in developing water quality guidelines by the LRA LC50/5 method.
Elizabeth Greene - One of the best experts on this subject based on the ideXlab platform.
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long distance work and leisure travel frequencies ordered Probit Analysis across non distance based definitions
Transportation Research Record, 2014Co-Authors: Jeffrey J. Lamondia, Lisa Aultmanhall, Elizabeth GreeneAbstract:The objective of this research was to isolate the factors influencing non-distance-based definitions of long-distance travel to help long-distance survey makers know which demographic factors they should query about in their surveys. Instead of the use of a distance-based threshold to define long-distance travel, this study included variations in purpose (e.g., work travel or leisure or personal travel), durations (e.g., overnight trips), modes (e.g., intercity rail or bus), and destinations (e.g., international travel) to consider which demographic, employment, commute, household, and geographic factors affected the frequency of long-distance travel. The data were from self-reported retrospective surveys collected from approximately 1,200 participants. Results from ordered Probit Analysis revealed that education and income generally increased most types of long-distance travel, whereas having a spouse or children decreased some types of long-distance travel. In general, limited factors had the same impac...
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Long-Distance Work and Leisure Travel Frequencies: Ordered Probit Analysis Across Non–Distance-Based Definitions
Transportation Research Record, 2014Co-Authors: Jeffrey J. Lamondia, Lisa Aultman-hall, Elizabeth GreeneAbstract:The objective of this research was to isolate the factors influencing non-distance-based definitions of long-distance travel to help long-distance survey makers know which demographic factors they should query about in their surveys. Instead of the use of a distance-based threshold to define long-distance travel, this study included variations in purpose (e.g., work travel or leisure or personal travel), durations (e.g., overnight trips), modes (e.g., intercity rail or bus), and destinations (e.g., international travel) to consider which demographic, employment, commute, household, and geographic factors affected the frequency of long-distance travel. The data were from self-reported retrospective surveys collected from approximately 1,200 participants. Results from ordered Probit Analysis revealed that education and income generally increased most types of long-distance travel, whereas having a spouse or children decreased some types of long-distance travel. In general, limited factors had the same impac...
Andrew R Slaughter - One of the best experts on this subject based on the ideXlab platform.
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an assessment of two step linear regression and multifactor Probit Analysis as alternatives to acute to chronic ratios in the estimation of chronic response from acute toxicity data to derive water quality guidelines
Integrated Environmental Assessment and Management, 2007Co-Authors: Andrew R Slaughter, Carolyn G Palmer, W J MullerAbstract:In aquatic ecotoxicology, acute to chronic ratios (ACRs) are often used to predict chronic responses from available acute data to derive water quality guidelines, despite many problems associated with this method. This paper explores the comparative protectiveness and accuracy of predicted guideline values derived from the ACR, linear regression Analysis (LRA), and multifactor Probit Analysis (MPA) extrapolation methods applied to acute toxicity data for aquatic macroinvertebrates. Although the authors of the LRA and MPA methods advocate the use of extrapolated lethal effects in the 0.01% to 10% lethal concentration (LC0.01-LC10) range to predict safe chronic exposure levels to toxicants, the use of an extrapolated LC50 value divided by a safety factor of 5 was in addition explored here because of higher statistical confidence surrounding the LC50 value. The LRA LC50/5 method was found to compare most favorably with available experimental chronic toxicity data and was therefore most likely to be sufficiently protective, although further validation with the use of additional species is needed. Values derived by the ACR method were the least protective. It is suggested that there is an argument for the replacement of ACRs in developing water quality guidelines by the LRA LC50/5 method.
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An assessment of two‐step linear regression and multifactor Probit Analysis as alternatives to acute to chronic ratios in the estimation of chronic response from acute toxicity data to derive water quality guidelines
Integrated environmental assessment and management, 2007Co-Authors: Andrew R Slaughter, Carolyn G Palmer, W J MullerAbstract:In aquatic ecotoxicology, acute to chronic ratios (ACRs) are often used to predict chronic responses from available acute data to derive water quality guidelines, despite many problems associated with this method. This paper explores the comparative protectiveness and accuracy of predicted guideline values derived from the ACR, linear regression Analysis (LRA), and multifactor Probit Analysis (MPA) extrapolation methods applied to acute toxicity data for aquatic macroinvertebrates. Although the authors of the LRA and MPA methods advocate the use of extrapolated lethal effects in the 0.01% to 10% lethal concentration (LC0.01-LC10) range to predict safe chronic exposure levels to toxicants, the use of an extrapolated LC50 value divided by a safety factor of 5 was in addition explored here because of higher statistical confidence surrounding the LC50 value. The LRA LC50/5 method was found to compare most favorably with available experimental chronic toxicity data and was therefore most likely to be sufficiently protective, although further validation with the use of additional species is needed. Values derived by the ACR method were the least protective. It is suggested that there is an argument for the replacement of ACRs in developing water quality guidelines by the LRA LC50/5 method.
Jeffrey J. Lamondia - One of the best experts on this subject based on the ideXlab platform.
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long distance work and leisure travel frequencies ordered Probit Analysis across non distance based definitions
Transportation Research Record, 2014Co-Authors: Jeffrey J. Lamondia, Lisa Aultmanhall, Elizabeth GreeneAbstract:The objective of this research was to isolate the factors influencing non-distance-based definitions of long-distance travel to help long-distance survey makers know which demographic factors they should query about in their surveys. Instead of the use of a distance-based threshold to define long-distance travel, this study included variations in purpose (e.g., work travel or leisure or personal travel), durations (e.g., overnight trips), modes (e.g., intercity rail or bus), and destinations (e.g., international travel) to consider which demographic, employment, commute, household, and geographic factors affected the frequency of long-distance travel. The data were from self-reported retrospective surveys collected from approximately 1,200 participants. Results from ordered Probit Analysis revealed that education and income generally increased most types of long-distance travel, whereas having a spouse or children decreased some types of long-distance travel. In general, limited factors had the same impac...
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Long-Distance Work and Leisure Travel Frequencies: Ordered Probit Analysis Across Non–Distance-Based Definitions
Transportation Research Record, 2014Co-Authors: Jeffrey J. Lamondia, Lisa Aultman-hall, Elizabeth GreeneAbstract:The objective of this research was to isolate the factors influencing non-distance-based definitions of long-distance travel to help long-distance survey makers know which demographic factors they should query about in their surveys. Instead of the use of a distance-based threshold to define long-distance travel, this study included variations in purpose (e.g., work travel or leisure or personal travel), durations (e.g., overnight trips), modes (e.g., intercity rail or bus), and destinations (e.g., international travel) to consider which demographic, employment, commute, household, and geographic factors affected the frequency of long-distance travel. The data were from self-reported retrospective surveys collected from approximately 1,200 participants. Results from ordered Probit Analysis revealed that education and income generally increased most types of long-distance travel, whereas having a spouse or children decreased some types of long-distance travel. In general, limited factors had the same impac...
Carolyn G Palmer - One of the best experts on this subject based on the ideXlab platform.
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an assessment of two step linear regression and multifactor Probit Analysis as alternatives to acute to chronic ratios in the estimation of chronic response from acute toxicity data to derive water quality guidelines
Integrated Environmental Assessment and Management, 2007Co-Authors: Andrew R Slaughter, Carolyn G Palmer, W J MullerAbstract:In aquatic ecotoxicology, acute to chronic ratios (ACRs) are often used to predict chronic responses from available acute data to derive water quality guidelines, despite many problems associated with this method. This paper explores the comparative protectiveness and accuracy of predicted guideline values derived from the ACR, linear regression Analysis (LRA), and multifactor Probit Analysis (MPA) extrapolation methods applied to acute toxicity data for aquatic macroinvertebrates. Although the authors of the LRA and MPA methods advocate the use of extrapolated lethal effects in the 0.01% to 10% lethal concentration (LC0.01-LC10) range to predict safe chronic exposure levels to toxicants, the use of an extrapolated LC50 value divided by a safety factor of 5 was in addition explored here because of higher statistical confidence surrounding the LC50 value. The LRA LC50/5 method was found to compare most favorably with available experimental chronic toxicity data and was therefore most likely to be sufficiently protective, although further validation with the use of additional species is needed. Values derived by the ACR method were the least protective. It is suggested that there is an argument for the replacement of ACRs in developing water quality guidelines by the LRA LC50/5 method.
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An assessment of two‐step linear regression and multifactor Probit Analysis as alternatives to acute to chronic ratios in the estimation of chronic response from acute toxicity data to derive water quality guidelines
Integrated environmental assessment and management, 2007Co-Authors: Andrew R Slaughter, Carolyn G Palmer, W J MullerAbstract:In aquatic ecotoxicology, acute to chronic ratios (ACRs) are often used to predict chronic responses from available acute data to derive water quality guidelines, despite many problems associated with this method. This paper explores the comparative protectiveness and accuracy of predicted guideline values derived from the ACR, linear regression Analysis (LRA), and multifactor Probit Analysis (MPA) extrapolation methods applied to acute toxicity data for aquatic macroinvertebrates. Although the authors of the LRA and MPA methods advocate the use of extrapolated lethal effects in the 0.01% to 10% lethal concentration (LC0.01-LC10) range to predict safe chronic exposure levels to toxicants, the use of an extrapolated LC50 value divided by a safety factor of 5 was in addition explored here because of higher statistical confidence surrounding the LC50 value. The LRA LC50/5 method was found to compare most favorably with available experimental chronic toxicity data and was therefore most likely to be sufficiently protective, although further validation with the use of additional species is needed. Values derived by the ACR method were the least protective. It is suggested that there is an argument for the replacement of ACRs in developing water quality guidelines by the LRA LC50/5 method.
