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

Review and Preview01:13

Review and Preview

11.9K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.9K
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

16.7K
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...
16.7K
Bar Graph01:07

Bar Graph

23.5K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
23.5K
Interpreting Run Charts01:25

Interpreting Run Charts

4.1K
Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
4.1K
Sampling Distribution01:12

Sampling Distribution

18.5K
Given simple random samples of size n from a given population with a measured characteristic such as mean, proportion, or standard deviation for each sample, the probability distribution of all the measured characteristics is called a sampling distribution. How much the statistic varies from one sample to another is known as the sampling variability of a statistic. You typically measure the sampling variability of a statistic by its standard error. The standard error of the mean is an example...
18.5K
Statgraphics01:10

Statgraphics

445
Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
445

You might also read

Related Articles

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

Sort by
Same author

Fully automated CT-based quantitative body composition analysis for predicting survival in patients with HCC undergoing TACE: a dual-cohort study.

Scientific reports·2026
Same author

Effect of length variations in 3D-printed middle-ear prostheses on ossicular chain mobility.

Hearing research·2026
Same author

Multicenter retrospective analysis by the Polish Adult Leukemia Group on tuberculosis occurrence and outcomes after hematopoietic cell transplantation.

Scientific reports·2026
Same author

Interpretable Machine Learning for Survival Analysis.

Biometrical journal. Biometrische Zeitschrift·2025
Same author

Dualistic Role of MITF in Uveal Melanoma: Defining Two Distinct Cellular Subpopulations With Prognostic and Therapeutic Implications.

Investigative ophthalmology & visual science·2025
Same author

Machine learning-based identification of small RNA signatures in aqueous humor as a step toward precision diagnosis of glaucoma.

Annals of medicine·2025
Same journal

A simple, sensitive microsample LC-MS assay for quercetin and isorhamnetin in mouse and human plasma: application to EMIQ treatment in myotonic dystrophy type 1.

Bioanalysis·2026
Same journal

ADA assays for high-dose biologics: redefining drug tolerance through clinical insights.

Bioanalysis·2026
Same journal

Comparison of SERS spectral data sets of blood serum samples of hypopharyngeal cancer using silver and gold nanoparticles as substrates.

Bioanalysis·2026
Same journal

The Gyrolab platform for immunogenicity assessment and biotherapeutic and biomarker analysis: technical advances and bioanalytical applications.

Bioanalysis·2026
Same journal

Simultaneous quantification of D-penicillamine, D-penicillamine disulfide, and L-cysteine-D-penicillamine disulfide in human plasma: optimization of sample preparation and mass spectrometry procedures to support bioequivalence studies.

Bioanalysis·2026
Same journal

Development and preliminary clinical application of a time-resolved fluoroimmunoassay for anti-rituximab antibodies in membranous nephropathy.

Bioanalysis·2026
See all related articles

Related Experiment Video

Updated: Feb 28, 2026

Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils
09:16

Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils

Published on: November 25, 2016

17.5K

Comprehensive graphical presentation of data from incurred sample reanalysis.

Piotr J Rudzki1, Przemysław Biecek2, Michał Kaza1

  • 1Pharmaceutical Research Institute, Pharmacology Department, 8 Rydygiera Street, 01-793 Warsaw, Poland.

Bioanalysis
|June 20, 2017
PubMed
Summary
This summary is machine-generated.

Visualizing incurred sample reanalysis (ISR) data ensures pharmacokinetic study reliability. New plots assess ISR quality at a glance, improving bioanalytical data standards.

Keywords:
incurred sample reanalysisregulatoryvisualization

More Related Videos

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.5K
ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

12.0K

Related Experiment Videos

Last Updated: Feb 28, 2026

Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils
09:16

Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils

Published on: November 25, 2016

17.5K
Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.5K
ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
05:12

ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data

Published on: January 16, 2019

12.0K

Area of Science:

  • Pharmacokinetics
  • Bioanalytical Chemistry
  • Data Visualization

Background:

  • Incurred sample reanalysis (ISR) is crucial for pharmacokinetic study reliability.
  • Regulatory guidelines recognize ISR methodology, but graphical data presentation remains underdeveloped.

Purpose of the Study:

  • To develop and present novel graphical methods for visualizing ISR data quality.
  • To address the overlooked aspect of graphical presentation in ISR methodology.

Main Methods:

  • Tested various graphical representations for ISR datasets of varying sizes (limited, standard, large).
  • Included datasets encompassing both successful and unsuccessful ISR outcomes.
  • Developed complementary plots: %difference vs. mean concentration and cumulative ISR plot.

Main Results:

  • The %difference versus mean concentration plot visualizes individual ISR data points and concentration-dependent trends.
  • The cumulative ISR plot illustrates the contribution of individual pairs to the overall result and time-dependent trends.
  • These plots allow for immediate assessment of ISR data quality.

Conclusions:

  • The proposed visualization methods provide an at-a-glance evaluation of ISR data against acceptance criteria.
  • Standardized graphical presentation of ISR results can enhance the overall quality of bioanalytical data.
  • This approach supports robust pharmacokinetic study outcomes.