An Automated Approach to Evaluating Dose-Effect Experiments Following Litchfield and Wilcoxon (1949)
Assess Fit of Dose-Response Curve
Calculate the Coefficients of a Probit Regression Fit
Constrain Data to a Specified Range
Predict the Corrected Proportional Effect
Prepare Data
Determine if a Dose-Effect Relation is Estimable
Fill in Missing Values
Best Fit Using Estimated Expected Effects
Determine Linear Regression Coefficients from Dose-Effect Data
Best Fit Using Litchfield and Wilcoxon Evaluation of Dose-Effect Exper...
Fit a Probit Regression to Dose-Effect Data
Define Effect Category
Fit a smooth GAM to Table 1 of Litchfield and Wilcoxon (1949)
Convert Probit Scale to Proportions
Eliminate Consecutive Extreme Values
Automated Litchfield and Wilcoxon (1949) Evaluation of Dose-Effect Exp...
Chi-Squared Statistic
Generate Litchfield and Wilcoxon Estimates
Recreate Litchfield and Wilcoxon's Nomograph No. 1
User Friendly Evaluation of Dose-Effect Experiments using Litchfield-W...
Find the Coordinate from the Scale of a Nomograph
Plot Dose-Effect Experiments
Plot Dose-Effect Experiments
Determine the Effective Dose from a Linear Regression Fit
Add Litchfield and Wilcoxon Predictions to a Plot
Add Litchfield and Wilcoxon Predictions to a Plot
Determine the Effective Dose from a Probit Regression Fit
Pretty Breakpoints on Log Scale
Convert Proportions to the Probit Scale
Relative Potency of Two Toxins
The manual approach of Litchfield and Wilcoxon (1949) <http://jpet.aspetjournals.org/content/96/2/99.abstract> for evaluating dose-effect experiments is automated so that the computer can do the work.