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

Statistical Analysis: Overview01:11

Statistical Analysis: Overview

16.6K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
16.6K
Statistical Analysis System (SAS)01:14

Statistical Analysis System (SAS)

940
SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
940
Study Design in Statistics01:15

Study Design in Statistics

10.1K
A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
Does aspirin reduce the risk of heart attacks? Is one brand of fertilizer more effective at growing roses than another? Is fatigue as dangerous to a driver as the influence of alcohol? Questions like these are answered using randomized experiments with proper...
10.1K
Statistical Significance01:50

Statistical Significance

22.3K
Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
22.3K
Noncompartmental Analysis: Statistical Moment Theory00:56

Noncompartmental Analysis: Statistical Moment Theory

417
Noncompartmental analyses leverage statistical moment theory to examine time-related changes in macroscopic events, encapsulating the collective outcomes stemming from the constituent elements in play. Statistical moment theory is a mathematical approach used to describe the time course of drug concentration in the body without assuming a specific compartmental model. SMT provides insights into drug absorption, distribution, metabolism, and elimination by treating drug concentration versus time...
417
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.6K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.6K

You might also read

Related Articles

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

Sort by
Same author

Response to tocilizumab and work productivity in patients with rheumatoid arthritis: 2-year follow-up of FIRST ACT-SC study.

Modern rheumatology·2020
Same author

Performance of randomization-based causal methods with and without integrating external data sources for adjusting overall survival in case of extensive treatment switches in placebo-controlled randomized oncology phase 3 trials.

Journal of biopharmaceutical statistics·2019
Same author

Phase III randomised trial comparing 6 vs. 12-month of capecitabine as adjuvant chemotherapy for patients with stage III colon cancer: final results of the JFMC37-0801 study.

British journal of cancer·2019
Same author

Adaptive Seamless Design for Establishing Pharmacokinetic and Efficacy Equivalence in Developing Biosimilars.

Therapeutic innovation & regulatory science·2018
Same author

A Bayesian hierarchal modeling approach to shortening phase I/II trials of anticancer drug combinations.

Pharmaceutical statistics·2018
Same author

Effect of subcutaneous tocilizumab treatment on work/housework status in biologic-naïve rheumatoid arthritis patients using inverse probability of treatment weighting: FIRST ACT-SC study.

Arthritis research & therapy·2018
Same journal

An exophytic multinodular chordoma of the cervical spine in a ferret.

Journal of toxicologic pathology·2026
Same journal

Melanomas (amelanotic type) in albino rats.

Journal of toxicologic pathology·2026
Same journal

Retrospective and histopathological study on epithelial tumors in the rectum and anal canal of dogs.

Journal of toxicologic pathology·2026
Same journal

Effect of single and repeated-dose oral administration of carbon tetrachloride on liver in zebrafish.

Journal of toxicologic pathology·2026
Same journal

Expression and distribution of tribbles pseudokinase 3 in oxidative stress-mediated acute liver and kidney injury models.

Journal of toxicologic pathology·2026
Same journal

Influence of rapamycin and chloroquine on chemically-induced liver injury in rats.

Journal of toxicologic pathology·2026
See all related articles

Related Experiment Video

Updated: Feb 14, 2026

Toxicity Study of Zinc Oxide Nanoparticles in Cell Culture and in Drosophila melanogaster
06:47

Toxicity Study of Zinc Oxide Nanoparticles in Cell Culture and in Drosophila melanogaster

Published on: September 19, 2019

11.6K

Statistical analysis for toxicity studies.

Chikuma Hamada1

  • 1Department of Information and Computer Technology, Faculty of Engineering, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, Tokyo 125-8585, Japan.

Journal of Toxicologic Pathology
|February 27, 2018
PubMed
Summary
This summary is machine-generated.

Selecting the right statistical method is crucial for consistent toxicity study results. This review guides choosing appropriate parametric or nonparametric approaches based on data distribution and study design for reliable toxicological assessments.

Keywords:
decision treenonparametric method and multiple comparisonparametric method

More Related Videos

Measuring RAN Peptide Toxicity in C. elegans
10:49

Measuring RAN Peptide Toxicity in C. elegans

Published on: April 30, 2020

7.1K
A Method to Study α-Synuclein Toxicity and Aggregation Using a Humanized Yeast Model
08:24

A Method to Study α-Synuclein Toxicity and Aggregation Using a Humanized Yeast Model

Published on: November 25, 2022

2.7K

Related Experiment Videos

Last Updated: Feb 14, 2026

Toxicity Study of Zinc Oxide Nanoparticles in Cell Culture and in Drosophila melanogaster
06:47

Toxicity Study of Zinc Oxide Nanoparticles in Cell Culture and in Drosophila melanogaster

Published on: September 19, 2019

11.6K
Measuring RAN Peptide Toxicity in C. elegans
10:49

Measuring RAN Peptide Toxicity in C. elegans

Published on: April 30, 2020

7.1K
A Method to Study α-Synuclein Toxicity and Aggregation Using a Humanized Yeast Model
08:24

A Method to Study α-Synuclein Toxicity and Aggregation Using a Humanized Yeast Model

Published on: November 25, 2022

2.7K

Area of Science:

  • Toxicology
  • Biostatistics
  • Data Analysis

Background:

  • Statistical analysis in toxicity studies can yield varied conclusions based on method selection.
  • Standardizing statistical methods is essential for routine and reliable toxicity testing.

Purpose of the Study:

  • To review viewpoints for selecting appropriate statistical methods in toxicity studies.
  • To guide researchers in choosing the correct statistical approach for their data and study design.

Main Methods:

  • Discussion of parametric and nonparametric approaches based on data distribution (e.g., bell shape, outliers).
  • Overview of specific statistical tests: Williams test (dose dependency), Dunnett test (no dose dependency), Tukey test (pairwise comparisons), and Bonferroni-adjusted t-test (specific comparisons).
  • Inclusion of corresponding nonparametric alternatives (Shirley-Williams, Steel, Steel-Dwass, Bonferroni-adjusted Wilcoxon tests).

Main Results:

  • The choice between parametric and nonparametric methods depends on data distribution characteristics.
  • Specific tests are recommended based on whether dose dependency is assumed or if pairwise comparisons are needed.
  • Nonparametric methods are suitable for categorical data and offer alternatives when assumptions of parametric tests are not met.

Conclusions:

  • Understanding statistical method performance is key to selecting appropriate analyses for toxicity studies.
  • Standardization of statistical methods will enhance the routine application and reliability of toxicity testing.
  • The review provides a framework for selecting statistical methods aligned with data characteristics and research objectives in toxicology.