SMARTR: Pharmacokinetic Meta-analysis Research Tool

★ ☆ ☆ ☆ ☆ | 5 users

Last accessed Apr 04, 2025
Author Jinzhong Liu Division of Clinical Pharmacology, Indiana University School of Medicine

About the app

SMARTR is a specialized application designed for data visualization and summarization, particularly tailored for standard types of literature-based datasets utilized in model-based meta-analyses. Meta-analysis in pharmacology refers to a statistical technique that combines the results of multiple studies to provide a comprehensive understanding of the effects of treatments or interventions. In SMARTR's robust user interface, users can easily navigate through its functionalities. Upon selecting variables such as time, treatment, dose, and endpoint, SMARTR provides access to various plots, which can be viewed or downloaded. Users can access commonly used visualizations like dynamic plots, by-study plots, forest plots and linear regression analysis within the application. One notable feature of SMARTR is its ability to automatically generate forest plots utilizing the "metafor" package. Presented at the ACoP5 International Conference.

Data Safety

Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time.

Rate this App

Have you used this app yet? Want to rate it?
You must login to submit votes

App Updates and Comments

No application notes or reviews.

Post response or reviews

Other Similar Apps

peccary Streamlinie Key Pharmacokinetic and Pharmacodynamics Analysis Thibaud Derippe
PMXsim Simulate and Explore Pharmacokinetic Profiles M.J. van Esdonk
SuperPlotsOfData Efficient Replicate Identification and Analysis Joachim Goedhart
dCellerate Unlock Single-Cell RNA-Seq Insights with Ease Ayla Navarro

About ShinyAppStore

About the ShinyAppStore platform

ShinyAppStore is the leading platform for showcasing and utilizing a wide range of Shiny applications developed with the shiny R package. We will be expanding access to allow shiny apps built with Python as well. Users can submit and explore applications across various categories, add verified apps to their personal library, and enjoy easy access. The platform features well-designed apps with detailed descriptions and evaluations by users. All applications on ShinyAppStore are user-owned and open source, with the source code readily available for download on our GitHub page.
More "about" details