Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Drug Regulation01:25

Drug Regulation

1.7K
Drug regulation encompasses the management of drug usage by evaluating its safety and efficacy through assessments conducted by regulatory authorities. Regrettably, the history of drug regulation is marred by several catastrophic events. One such incident is the Elixir Sulfanilamide tragedy, in which the toxic compound diethyl glycol was included in a sweet-tasting medication, leading to numerous fatalities. This event prompted the enactment of the Food, Drug, and Cosmetic Act in 1938. Under...
1.7K
Response Surface Methodology01:16

Response Surface Methodology

230
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
230
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

158
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
158
Introduction to R01:11

Introduction to R

541
R is a powerful software environment for statistical computing and graphics. Originating as an implementation of the S language, developed at Bell Laboratories, R has evolved into a robust, open-source statistical software favored by statisticians and data scientists worldwide. Its comprehensive suite includes data manipulation, calculation, and graphical display capabilities, making it versatile for data analysis and visualization. Its programming language is at the core of R's...
541
The R Chart01:02

The R Chart

125
In statistical process control, control charts, particularly R charts, are instrumental in monitoring process variations and identifying non-random patterns that run charts might miss. R charts track the variability within process subgroups, which is crucial when standard deviation use is impractical or unknown process variations exist.
R charts are pivotal for pinpointing shifts in process variability. Stability is indicated when all data points remain within the defined upper and lower...
125
Global Regulatory Systems01:28

Global Regulatory Systems

62
Global regulatory systems in bacteria enable rapid and coordinated responses to environmental changes by integrating sensory inputs with gene expression, ensuring efficient adaptation to fluctuating conditions. Key global regulatory mechanisms include regulons, two-component systems, sigma factors, and secondary messengers.Regulons and Global RegulatorsA regulon is a collection of genes and operons controlled by a common global regulator. These regulators enable bacteria to prioritize resource...
62

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

MODEXMO: A modular non-dietary exposure assessment approach for pesticides using dose-based dermal absorption prediction.

Regulatory toxicology and pharmacology : RTP·2025
Same author

Stomata morphology measurement with interactive machine learning: accuracy, speed, and biological relevance?

Plant methods·2025
Same author

Conflicts of interest in the International Agency for Research on Cancer process of identifying carcinogenic hazards to humans.

Human & experimental toxicology·2025
Same author

Data collection initiatives of the crop protection industry - A mission to improve non-dietary risk assessment in Europe.

Regulatory toxicology and pharmacology : RTP·2024
Same author

Simultaneous Inference Using Multiple Marginal Models.

Pharmaceutical statistics·2024
Same author

Historical control data of rare events: Issues, chronological patterns and their relevance for toxicological evaluations.

Regulatory toxicology and pharmacology : RTP·2024
Same journal

Prevention of cognitive decline and dementia: Current evidence on lifestyle factors and dietary patterns.

EXCLI journal·2026
Same journal

Bidirectional relationship between metabolic dysfunction-associated steatotic liver disease and type 2 diabetes mellitus.

EXCLI journal·2026
Same journal

Triterpenoid saponins and ferroptosis: A membrane centered perspective.

EXCLI journal·2026
Same journal

Picroside III: novel multifunctional iridoid glycoside with promising antileukemic activity.

EXCLI journal·2026
Same journal

Nanotechnology-driven delivery of dexamethasone for arthritis: The role of liposomes.

EXCLI journal·2026
Same journal

Malnutrition-Sarcopenia Syndrome in older adults: Causes, consequences, and countermeasures.

EXCLI journal·2026
See all related articles

Related Experiment Video

Updated: Aug 23, 2025

Author Spotlight: High-Throughput Toxicity Screening Using Zebrafish Embryo Startle Response Assay
06:25

Author Spotlight: High-Throughput Toxicity Screening Using Zebrafish Embryo Startle Response Assay

Published on: January 12, 2024

1.6K

Using R in Regulatory Toxicology.

Felix M Kluxen1, Signe M Jensen2

  • 1ADAMA Deutschland GmbH, Cologne, Germany.

EXCLI Journal
|November 2, 2022
PubMed
Summary
This summary is machine-generated.

Toxicologists can use the R statistical software for regulatory evaluations. This open-source tool enables data analysis for toxicology studies, enhancing transparency and efficiency in regulatory submissions.

Keywords:
Rcontinued educationregulatory toxicologysoftware tutorialstatistics

More Related Videos

Assessment of Chemical Toxicity in Adult Drosophila Melanogaster
07:02

Assessment of Chemical Toxicity in Adult Drosophila Melanogaster

Published on: March 24, 2023

3.5K
Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans
08:14

Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans

Published on: April 28, 2023

432

Related Experiment Videos

Last Updated: Aug 23, 2025

Author Spotlight: High-Throughput Toxicity Screening Using Zebrafish Embryo Startle Response Assay
06:25

Author Spotlight: High-Throughput Toxicity Screening Using Zebrafish Embryo Startle Response Assay

Published on: January 12, 2024

1.6K
Assessment of Chemical Toxicity in Adult Drosophila Melanogaster
07:02

Assessment of Chemical Toxicity in Adult Drosophila Melanogaster

Published on: March 24, 2023

3.5K
Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans
08:14

Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans

Published on: April 28, 2023

432

Area of Science:

  • Toxicology
  • Biostatistics
  • Regulatory Science

Background:

  • Statistical analyses are crucial for regulatory toxicology evaluations.
  • Toxicologists often lack direct access to statisticians, necessitating self-sufficiency in data analysis.
  • Transparency and standardized methods are key in regulatory processes.

Purpose of the Study:

  • To demonstrate the utility of the R statistical software for regulatory toxicological data evaluation.
  • To provide toxicologists with a single software solution for required data analyses.
  • To illustrate practical applications of R in regulatory toxicology through case studies.

Main Methods:

  • Utilizing the open-source statistical software R.
  • Applying R for Dunnett testing, dose-response analysis, and benchmark dose derivation.
  • Conducting graphical and exploratory data analysis on toxicological datasets.

Main Results:

  • R can perform regulatory required data evaluations, including Dunnett testing with biological relevance thresholds.
  • Dose-response modeling and benchmark dose derivation for specific toxicants (Pyridine) are feasible in R.
  • Exploratory data analysis of developmental neurotoxicity data (Chlorpyrifos) can be effectively performed using R.

Conclusions:

  • R is a suitable, transparent, and extensible tool for regulatory toxicologists.
  • Toxicologists can independently conduct comprehensive data evaluations using R.
  • The software facilitates efficient and standardized statistical analysis in regulatory toxicology.