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

Study Design in Statistics01:15

Study Design in Statistics

9.7K
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...
9.7K
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

266
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
266
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

639
Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
639
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.1K
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...
1.1K
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

720
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:
720
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

978
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
978

You might also read

Related Articles

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

Sort by
Same author

Development of the authentication and authorization processes for the iAgree portal, a platform for patient-controlled data sharing across health systems.

JAMIA open·2026
Same author

Darolutamide versus abiraterone acetate-based triplets in patients with hormone-sensitive prostate cancer: real-world, head-to-head comparison from the ARON-3 study.

Minerva urology and nephrology·2026
Same author

Asthenia in cancer patients receiving immune checkpoint Inhibitors (ICIs): the MOUSEION-11 systematic review and meta-analysis.

Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico·2026
Same author

Doublet Versus Triplet Therapy in High-volume Metastatic Hormone-sensitive Prostate Cancer Patients with Bone Metastases: Results from the ARON-3 Study.

European urology oncology·2026
Same author

Assessing the trustworthiness of health guidelines recommendations: the transparent, rigorous, useable, standardized, and trustworthy guide (TRUSTGUIDES) tools development.

Journal of clinical epidemiology·2026
Same author

Real-world incidence of G3-G4 adverse events in patients with advanced renal cell carcinoma receiving immune-combinations (ARON-1).

Frontiers in immunology·2026
Same journal

Causal intervention validation of gene regulatory signals in scGPT.

Journal of biomedical informatics·2026
Same journal

CoAff-DTI: Fine-grained drug-target interaction prediction using pre-trained language models and affinity-guided mechanisms.

Journal of biomedical informatics·2026
Same journal

Evaluation of temporal preservation in synthetic longitudinal patient data.

Journal of biomedical informatics·2026
Same journal

ARKE: An ontology-driven framework for automated mapping of local radiology procedure terms to the LOINC-RadLex playbook using large language model.

Journal of biomedical informatics·2026
Same journal

A validation-driven training controller for cross-lingual biomedical NER via reinforcement learning-based adaptive loss weighting.

Journal of biomedical informatics·2026
Same journal

ASP-HR: An Adaptive Spatial Perception and Hierarchical Reasoning mechanism for document-level biomedical relation extraction.

Journal of biomedical informatics·2026
See all related articles

Related Experiment Video

Updated: Nov 20, 2025

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.4K

Making science computable: Developing code systems for statistics, study design, and risk of bias.

Brian S Alper1, Joanne Dehnbostel1, Muhammad Afzal2

  • 1Computable Publishing LLC, Ipswich, MA, United States.

Journal of Biomedical Informatics
|January 24, 2021
PubMed
Summary
This summary is machine-generated.

The EBMonFHIR project extended the Fast Healthcare Interoperability Resources (FHIR) standard to support evidence-based medicine knowledge exchange. This initiative developed code systems for scientific findings, improving data processing and reporting.

Keywords:
Code systemEvidence-based medicineOntologyResearch literatureScience communicationTerminology

More Related Videos

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
08:58

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

234
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.9K

Related Experiment Videos

Last Updated: Nov 20, 2025

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

2.4K
Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow
08:58

Efficient Sampling of Genetically Encoded Biosensor Design Space Enabled with a Design of Experiments and Automation Workflow

Published on: October 17, 2025

234
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.9K

Area of Science:

  • Health Informatics
  • Evidence-Based Medicine
  • Scientific Communication

Background:

  • The COVID-19 crisis highlighted the need for accelerated electronic data exchange infrastructure for scientific findings.
  • The Fast Healthcare Interoperability Resources (FHIR) standard addresses health information exchange interoperability challenges.
  • The EBMonFHIR project extends FHIR to incorporate evidence-based medicine (EBM) knowledge.

Purpose of the Study:

  • To develop a global infrastructure for the electronic exchange of scientific evidence.
  • To create standardized terminologies for reporting research findings and their reliability.
  • To enhance the computability of scientific knowledge for future generations.

Main Methods:

  • A 13-step Code System Development Protocol was established to guide terminology development.
  • Expert working groups comprising 55 individuals from 26 countries were formed.
  • Initial development focused on 23 common tools and systems, drafting 368 concepts for four code systems: Statistic Type, Statistic Model, Study Design, and Risk of Bias.

Main Results:

  • A protocol for global terminology development was created.
  • Initial versions of code systems for key research components were drafted.
  • The foundation for computable scientific knowledge exchange was established.

Conclusions:

  • The developed code systems will facilitate the identification, processing, and reporting of research results.
  • Enhanced scientific communication through standardized terminologies can reduce costs and improve health outcomes.
  • The EBMonFHIR project aims to create a lasting infrastructure for computable science beyond the COVID-19 pandemic.