Toxicity Data Statistical Analysis

Hormesis Model for IC25 and IC50 Estimation

Preparation for IC25 and IC50 Estimation As with all statistical analysis of toxicity data, it is critical to visualize the experimental data distribution through graphing. A minimum of three replicates is necessary in a toxicity test to enable the calculation of IC25 and IC50. ToxGenie automatically identifies user-input data and selects the optimal model from […]

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Gompertz Model for IC25 and IC50 Estimation

Preparation for IC25 and IC50 Estimation As with all statistical analysis of toxicity data, it is critical to visualize the experimental data distribution through graphing. A minimum of three replicates is necessary in a toxicity test to enable the calculation of IC25 and IC50. ToxGenie automatically identifies user-input data and selects the optimal model from

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Exponential Model for IC25 and IC50 Estimation

Preparation for IC25 and IC50 Estimation As with all statistical analysis of toxicity data, it is critical to visualize the experimental data distribution through graphing. A minimum of three replicates is necessary in a toxicity test to enable the calculation of IC25 and IC50. ToxGenie automatically identifies user-input data and selects the optimal model from

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The Logit Method: A Reliable Approach for Toxicity Data Statistical Analysis

Logit Logit is the logistic equivalent deviate. It is a specific transformation of data that can be applied to the proportions of test organisms affected in a quantal toxicity test, usually resulting in a straightening of the sigmoid curve of effect. To obtain a logit, the proportion of organisms affected (p) at a given concentration

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Maximum Likelihood Estimation (MLE) of the Probit Method: A Reliable Approach for Statistical Analysis of Toxicity Data

Maximum Likelihood Estimation (MLE) Maximum Likelihood Estimation (MLE) is an objective technique for selecting parameter values in a model by maximizing the likelihood of observing the collected data under the chosen model. In quantal toxicity tests, the number of test organisms affected at a given concentration follows a binomial distribution. The parameters of this binomial

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The Trimmed Spearman-Kärber Method: A Reliable Approach for Toxicity Data Statistical Analysis

Trimmed Spearman-Kärber Method The Trimmed Spearman-Kärber Method (S-K) is fundamentally the same as the untrimmed Spearman-Kärber Method. Trimming is an attempt to correct for non-symmetry in the tails of the dose-effect curve, performed by deleting extreme values and using central data. This can be useful when there are unexpectedly large proportions of organisms in either

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The Spearman-Kärber Method: A Reliable Approach for Toxicity Data Statistical Analysis

Spearman-Kärber Method Introduced by Hamilton et al. (1977) for environmental toxicity testing, the Spearman-Kärber Method (S-K) is recommended for analyzing quantal data when (a) there is only one partial effect and (b) both 0% and 100% effects are included. In other words, this method is used when probit/logit methods are not applicable, i.e., when the

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Understanding Quantal vs Quantitative Data in Toxicology with ToxGenie

Mastering toxicology data statistical analysis starts with understanding the types of data you’re working with. ToxGenie empowers researchers by simplifying the analysis of both Quantal and Quantitative data, making complex tasks accessible and efficient. Curious about how these data types shape your research? This post explores their definitions, differences, and how ToxGenie transforms your workflow.

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Why I Developed ToxGenie, a New Toxicity Data Statistical Analysis Software

Toxicology and ecotoxicology research require precise statistical analysis, but the process can often be a headache for researchers. ToxGenie turns this challenge into an opportunity, offering an intuitive and powerful tool designed by a researcher, for researchers. This article explores why a specialized toxicity data analysis software is essential and how ToxGenie can help you

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