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

Introduction to Statistics01:17

Introduction to Statistics

44.9K
The science of statistics involves collecting, analyzing, interpreting, and presenting data. The method of collecting, organizing, and summarizing data is called descriptive statistics. The systematic method of drawing inferences from the sample data and predicting unknown characteristics of a population is called inferential statistics.
In statistics, the collection of individuals or objects under study is called population. The idea of sampling is to select a portion of the larger population...
44.9K
Statgraphics01:10

Statgraphics

95
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,...
95
Statistical Significance01:50

Statistical Significance

19.9K
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...
19.9K
Introduction to Statistical Process Control01:15

Introduction to Statistical Process Control

63
Statistical Process Control (SPC) is a method used to monitor and control quality within processes, particularly in manufacturing and service delivery, by employing statistical methods. SPC aims to distinguish between natural (common cause) variation and variation due to specific changes or events (special cause), allowing for timely improvements and sustained quality. The control chart, a pivotal tool in SPC, visually displays data over time alongside a central line of upper and lower control...
63
Biostatistics: Overview01:20

Biostatistics: Overview

206
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
206
Statistical Hypothesis Testing01:16

Statistical Hypothesis Testing

1.8K
Hypothesis testing is a critical statistical procedure facilitating informed, evidence-based decisions. It begins with a hypothesis, which is a tentative explanation, or a prediction about a population parameter. This hypothesis can be either a null hypothesis (H0), indicating no effect or difference, or an alternative hypothesis (Ha), suggesting an effect or difference.
Statistical significance measures the probability that an observed result occurred by chance. If this probability, known as...
1.8K

You might also read

Related Articles

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

Sort by
Same author

Glycemic response trajectories on metformin monotherapy in real-world diabetes care.

medRxiv : the preprint server for health sciences·2026
Same author

Robust ranking of renewable energy alternatives handling uncertainty using novel hesitant bi-fuzzy MEREC-MOORA and Dombi aggregation approach.

Scientific reports·2026
Same author

The Impact of Social Vulnerability on Exercise Outcomes: A Longitudinal Study of Physical Function in Older People With HIV.

Journal of the International Association of Providers of AIDS Care·2026
Same author

Special issue: cell and gene causal inference in the design and analysis of gene therapy clinical trials.

Journal of biopharmaceutical statistics·2026
Same author

Mapping the last mile: Micro-stratification for sustained visceral leishmaniasis elimination in Bangladesh.

PLoS neglected tropical diseases·2026
Same author

The effects of high-intensity interval training versus continuous moderate-intensity exercise on body composition among older adults with HIV.

The journals of gerontology. Series A, Biological sciences and medical sciences·2026
Same journal

Ten-year outcomes from the Columbia-Bassett program: a model for strengthening the underserved health workforce.

Academic medicine : journal of the Association of American Medical Colleges·2026
Same journal

Artificial intelligence teaching assistants: a scalable solution for supporting struggling medical students.

Academic medicine : journal of the Association of American Medical Colleges·2026
Same journal

MDCU MedUMORE: a national digital platform for equitable and lifelong medical education in Thailand and beyond.

Academic medicine : journal of the Association of American Medical Colleges·2026
Same journal

The Minority Ophthalmology Mentoring Program: A Model for Increasing Diversity in Surgical Specialties.

Academic medicine : journal of the Association of American Medical Colleges·2026
Same journal

Toward a global ecosystem for health professions education: harnessing open educational resources and generative AI with shared governance.

Academic medicine : journal of the Association of American Medical Colleges·2026
Same journal

Associations of marital status with well-being and career intentions among medical residents: a national survey in Japan.

Academic medicine : journal of the Association of American Medical Colleges·2026
See all related articles

Related Experiment Video

Updated: May 15, 2025

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

7.4K

The Science of Statistical Practice.

Manisha Desai, Shari Messinger, Walter T Ambrosius

    Academic Medicine : Journal of the Association of American Medical Colleges
    |April 8, 2025
    PubMed
    Summary
    This summary is machine-generated.

    Statistical practice is a crucial science for rigorous, data-intensive research. Recognizing its value and supporting statistical scientists is essential for advancing scientific discovery and ensuring high-quality research outcomes.

    More Related Videos

    Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
    16:23

    Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

    Published on: February 26, 2014

    14.2K
    Watershed Planning within a Quantitative Scenario Analysis Framework
    12:44

    Watershed Planning within a Quantitative Scenario Analysis Framework

    Published on: July 24, 2016

    7.9K

    Related Experiment Videos

    Last Updated: May 15, 2025

    Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
    08:05

    Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

    Published on: June 30, 2020

    7.4K
    Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
    16:23

    Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

    Published on: February 26, 2014

    14.2K
    Watershed Planning within a Quantitative Scenario Analysis Framework
    12:44

    Watershed Planning within a Quantitative Scenario Analysis Framework

    Published on: July 24, 2016

    7.9K

    Area of Science:

    • Quantitative methods
    • Statistical practice
    • Data-intensive research

    Background:

    • Emerging technologies like artificial intelligence increase reliance on quantitative methods.
    • Statistical practice is vital for research rigor but often misperceived as a service.
    • This misconception compromises research quality in clinical and translational studies.

    Purpose of the Study:

    • To advocate for recognizing statistical practice as a key scientific discipline.
    • To call for nurturing the field and its scientists within academic and research institutions.
    • To promote the integration of statistical practitioners as equal partners in collaborative research.

    Main Methods:

    • The study is a conceptual and advocacy-based call to action.
    • It emphasizes the need for institutional support and recognition of statistical practice.
    • It highlights the importance of inclusive faculty structures and peer engagement.

    Main Results:

    • Misconceptions about statistical practice threaten scientific rigor.
    • Academic and research leadership must actively support statistical scientists.
    • Inclusive faculty pathways and collaborative engagement are crucial for progress.

    Conclusions:

    • Elevating statistical practice to a recognized scientific discipline is imperative.
    • Nurturing statistical scientists through clear academic pathways ensures research quality.
    • Integrating statistical practitioners as peer scientists enhances scientific endeavors in data-intensive research.