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 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
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 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
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
Applications of Life Tables01:22

Applications of Life Tables

429
Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
429
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

14.6K
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...
14.6K

You might also read

Related Articles

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

Sort by
Same author

A machine-learning-based tool for stroke risk prediction in blunt cerebrovascular injury: development and preliminary evaluation.

European journal of trauma and emergency surgery : official publication of the European Trauma Society·2026
Same author

Outcomes of MagLev LVAD Support in Patients Requiring Preoperative Continuous Renal Replacement Therapy.

Journal of clinical medicine·2025
Same author

Hypocaloric feeding in critically ill trauma patients: A scoping review of the literature.

The journal of trauma and acute care surgery·2025
Same author

Selective Angiography of Stimulant-Exposed Cardiac Donors Following Circulatory Death Does Not Impact Post-Transplant Outcomes.

Journal of clinical medicine·2025
Same author

Is taurine an aging biomarker?

Science (New York, N.Y.)·2025
Same author

Candidemia in Left Ventricular Assist Device Recipients: Incidence, Risk Factors, and Outcomes.

Open forum infectious diseases·2025
Same journal

Genetic Impacts on Variability of Body Fat Distribution Uncover Gene-Environment and Gene-Gene Interactions.

bioRxiv : the preprint server for biology·2026
Same journal

16S ribosomal RNA modification drives transcript-specific translation efficiency.

bioRxiv : the preprint server for biology·2026
Same journal

FlcE latches onto the FliL-stator complex to turbocharge flagellar motility in <i>Borrelia burgdorferi</i>.

bioRxiv : the preprint server for biology·2026
Same journal

Synaptic pruning, myelination and the emergence of psychiatric disorders in late adolescence.

bioRxiv : the preprint server for biology·2026
Same journal

Structural and functional insights into the Rcs phosphorelay.

bioRxiv : the preprint server for biology·2026
Same journal

The structural basis of RanGAP1 regulation and catalysis in nuclear transport.

bioRxiv : the preprint server for biology·2026
See all related articles

Related Experiment Video

Updated: May 5, 2026

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
11:18

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Published on: January 22, 2011

16.7K

TernTables: A Statistical Analysis and Table Generation Web Interface for Clinical and Biomedical Research.

Joshua D Preston1, Helen Abadiotakis1, Ailin Tang1

  • 1Division of Cardiothoracic Surgery, Department of Surgery, Emory University School of Medicine, Atlanta, GA, USA.

Biorxiv : the Preprint Server for Biology
|May 4, 2026
PubMed
Summary
This summary is machine-generated.

TernTables is an open-source tool that simplifies clinical data analysis and reporting. It automates descriptive and univariate statistics, producing publication-ready tables and methods text for reproducible research.

More Related Videos

A User-friendly and Powerful R Analysis of Large-scale Datasets
10:56

A User-friendly and Powerful R Analysis of Large-scale Datasets

Published on: November 4, 2025

465
Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

5.7K

Related Experiment Videos

Last Updated: May 5, 2026

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research
11:18

Generation of Comprehensive Thoracic Oncology Database - Tool for Translational Research

Published on: January 22, 2011

16.7K
A User-friendly and Powerful R Analysis of Large-scale Datasets
10:56

A User-friendly and Powerful R Analysis of Large-scale Datasets

Published on: November 4, 2025

465
Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

5.7K

Area of Science:

  • Clinical research methodology
  • Biostatistics
  • Health informatics

Background:

  • Clinical research dissemination faces challenges due to administrative hurdles and inconsistent methods.
  • Standardized workflows for descriptive and univariate analyses are lacking, impacting efficiency and reproducibility.

Purpose of the Study:

  • To introduce TernTables, an open-source application and R package designed to streamline clinical data reporting.
  • To automate the generation of descriptive and univariate statistical results for clinical research.
  • To enhance transparency and reproducibility in clinical data analysis.

Main Methods:

  • Development of a web application and R package integrating protected health information (PHI) screening.
  • Implementation of a rule-based decision tree for automated selection of statistical tests (frequency-based, parametric, non-parametric).
  • Generation of publication-ready summary tables in Microsoft Word, including dynamic methods text and R code.

Main Results:

  • Validation on a landmark clinical trial dataset showed concordance with established biostatistical methods for descriptive and univariate analyses.
  • TernTables successfully automates the creation of formatted results from raw clinical data.
  • The system ensures transparency and reproducibility through generated R code.

Conclusions:

  • TernTables standardizes routine descriptive and univariate statistical workflows in clinical research.
  • The platform democratizes access to rigorous statistical methods, reducing technical and financial barriers.
  • It complements formal statistical consultation, allowing focus on complex analyses and study design.