Simulating an Exposure Response Model using mrgsolve | Visualizing Probability of Cure | Adding Between Subject Variability on Intercept and Showing its Impact on Probabilities | Computing the Probabilities | Dose/Exposure Response Curves | Visualize the Response versus exposures (AUC)

Motivation | Example | Simulating Data to Mimick Outputs from a Modeling Exercise | Visualizing Covariate Effects with Distributions | Simplifying the Distributions into Ranges of Effects | Plotting the Effects Data

Specifying A Pediatric Simulation Model | PK Parameters and Associated BSV ranges | Simulating Age/Weight Pairs Using NHANES LMS Values | Simulation with the Multivariate Realistic Distribution | PK Parameters Summaries and Distribution Plots | A Forest Plot with a Side Table

Specifying a PK Model using mrgsolve | Simulate a Reference Subjects with BSV | Compute PK Parameters, Plot and Summarize BSV | Generate and Simulate at Combinations of Covariate of Interest | Generate a Dataset Holding Combinations of Covariates: | Simulation at Unique Combinations of Covariates | Adding Uncertainty from a Varcov Matrix | Generating Sets of Parameters with Uncertainty | Iterative Simulations to Apply the Uncertainty | Compute PK Parameters and Boxplots | Alternative View of the Data: Distributions and Intervals | Adding the BSV Ranges and Putting it all Together Using forest_plot | Customization of the Plots | Using theme_benrich along Additional Options | Returning a List of ggplots | Plots with Multiple PK Parameters | Facet by Parameter | Shape by Parameter | Color by Parameter

Specifying a PK Model using mrgsolve | Simulate a Reference Subjects with BSV | Compute PK Parameters, Plot and Summarize BSV | Importing Realistic Distributions of Covariates | Visualize the dataset of Covariates: | Simulation With Full Distributions of Covariates | Adding Uncertainty from a Varcov Matrix | Generating Sets of Parameters with Uncertainty | Iterative Simulation to Apply the Uncertainty | Compute PK Parameters and Boxplots | Alternative View of the Data: Distributions and Intervals | Putting it all Together Using forest_plot | Computing Geometric Mean Ratios (GMR) using a category as reference

Specifying a PK/PD Model using mrgsolve | Simulate Reference Subjects with BSV | Compute PD Parameters and Summarize BSV | Construct ans Simulate at Combinations of Covariate of Interest | Compute PD Parameters and Distributions Plots | Summarize, add the BSV Ranges and Putting it all Together Using forest_plot

Published Data | Load the Data into the app | X/Y Mappings and Splitting Options | Facets Options | Ordering of Variables and Values | Remove Default Points and add a Point Interval | Setting Titles, Captions and Logging the X axis | Example of what is Possible with ggquickeda

Multiple Y variables, recoding continuous variables to categories and Medina/PI: | Boxplots, Median/PI, Mean: | Continuous and categorical variables descriptive stats: | Univariate Plots: