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

Statgraphics01:10

Statgraphics

484
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,...
484
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

1.3K
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
1.3K
Quantifying Work02:30

Quantifying Work

18.3K
As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system.
18.3K
Overview of Biostatistics in Health Sciences01:19

Overview of Biostatistics in Health Sciences

4.8K
Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...
4.8K
Biostatistics: Overview01:20

Biostatistics: Overview

1.2K
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...
1.2K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.7K
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...
1.7K

You might also read

Related Articles

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

Sort by
Same author

Reporting of second-generation <i>p</i>-values, Bayes factors and fragility indices in trials enhances assessment of clinical importance beyond <i>p</i>-values: a meta-epidemiologic study.

Contemporary clinical trials communications·2026
Same author

Correlation of vascular enhancement on MRI and clinical manifestations in patients with GCA.

Rheumatology advances in practice·2026
Same author

Changes in resource insecurity, sexual and mental health among young women after Kenya's 2024 heavy rains and floods.

International health·2026
Same author

Examining pathways between stigma, extreme weather exposure, resource insecurities and ART adherence among young men who have sex with men and female sex workers living with HIV in Kampala, Uganda.

HIV medicine·2026
Same author

Cost of hospital admission after autologous breast reconstruction and factors associated with increased cost: a population-based cohort study.

Canadian journal of surgery. Journal canadien de chirurgie·2026
Same author

The reporting of CONSORT items and key feasibility elements in pilot and feasibility studies in hip and knee arthroplasty is suboptimal: a methodological survey.

Pilot and feasibility studies·2026

Related Experiment Video

Updated: Apr 28, 2026

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View
05:26

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View

Published on: January 7, 2019

6.6K

Work-Life Balance of Collaborative Statisticians and Methodologists in Multidisciplinary Settings.

Tolulope T Sajobi1,2, Olayinka I Arimoro1, Ayooluwanimi P Okikiolu2

  • 1Department of Community Health Sciences & O'Brien Institute for Public Health, University of Calgary, Calgary, Alberta, Canada.

JAMA Network Open
|April 27, 2026
PubMed
Summary
This summary is machine-generated.

Many statisticians and methodologists struggle with work-life balance due to heavy workloads and lack of support. Organizational flexibility and fair compensation are key factors in improving their professional well-being.

More Related Videos

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.0K
A Quantitative Fitness Analysis Workflow
11:39

A Quantitative Fitness Analysis Workflow

Published on: August 13, 2012

15.4K

Related Experiment Videos

Last Updated: Apr 28, 2026

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View
05:26

Enactive Phenomenological Approach to the Trier Social Stress Test: A Mixed Methods Point of View

Published on: January 7, 2019

6.6K
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.0K
A Quantitative Fitness Analysis Workflow
11:39

A Quantitative Fitness Analysis Workflow

Published on: August 13, 2012

15.4K

Area of Science:

  • Biostatistics
  • Data Science
  • Epidemiology
  • Health Services Research

Background:

  • Collaborative statisticians and methodologists are vital in multidisciplinary research teams.
  • Their diverse roles, including technical analysis and project leadership, can impact work-life balance and well-being.
  • Little is known about the factors influencing their work-life balance.

Purpose of the Study:

  • To assess work-life balance perceptions among collaborative statisticians and methodologists.
  • To identify individual, job-related, and organizational factors associated with their work-life balance.

Main Methods:

  • A cross-sectional survey was conducted with 450 statisticians, data scientists, and methodologists.
  • Data were collected via anonymous electronic surveys distributed internationally.
  • Work-life balance was measured using the Work-Life Balance Self-Assessment Scale; regression analyses identified associated factors.

Main Results:

  • Over 42% of respondents reported dissatisfaction or neutral satisfaction with their work-life balance.
  • Unmanageable workload, work-related health issues, and inability to complete work during regular hours were linked to higher work interference.
  • Organizational flexibility and adequate compensation were associated with lower work interference.

Conclusions:

  • Findings highlight significant work-life balance challenges for collaborative statisticians and methodologists.
  • Targeted educational initiatives, mentorship, and supportive organizational policies are recommended.
  • Promoting wellness and work-life balance is crucial for this essential professional group.