Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Videos de Conceptos Relacionados

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

174
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,...
174
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

782
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...
782
Chi-square Analysis02:46

Chi-square Analysis

38.7K
The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
38.7K
Biostatistics: Overview01:20

Biostatistics: Overview

365
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...
365
Overview of Biostatistics in Health Sciences01:19

Overview of Biostatistics in Health Sciences

708
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...
708
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

280
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
280

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Bayesian Reanalysis of Revascularization Strategies for Left Main Disease: Coronary Artery Bypass Grafting vs Percutaneous Intervention.

The Annals of thoracic surgery·2026
Same author

The Current State and Challenges in Cardiothoracic Surgery in Latin America.

Annals of thoracic surgery short reports·2026
Same author

InChagas: Feasibility Study of a Tele-Education Strategy to Promote Early Identification and Care of People Living with Chagas Cardiomyopathy in an Endemic Community in Argentina.

Global heart·2026
Same author

Rethinking Aortic Risk Stratification: Moving Beyond the Single Dimension.

The Canadian journal of cardiology·2026
Same author

High-Sensitivity Cardiac Troponin I and Mortality Following Off-Pump and On-Pump Coronary Artery Bypass Surgery: A Secondary Analysis of the Vision Cardiac Surgery Study.

Interdisciplinary cardiovascular and thoracic surgery·2026
Same author

Regionalization Without Volume?

The Annals of thoracic surgery·2025

Video Experimental Relacionado

Updated: Sep 9, 2025

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

32.0K

El índice de ganancias en la ciencia biomédica: un análisis bibliométrico

Zhenyu Li1,2, Aliya Izumi2, Dominique Vervoort3,4

  • 1Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.

CJC open
|September 2, 2025
PubMed
Resumen

La relación de ganancia (WR) se utiliza cada vez más en la investigación biomédica para analizar resultados compuestos. Su aplicación se está expandiendo más allá de la cardiología, mostrando un crecimiento significativo y adaptabilidad para priorizar eventos clínicamente relevantes.

Palabras clave:
Análisis bibliométricoCardiologíaensayo clínicolas estadísticasporcentaje de ganancias

Más Videos Relacionados

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
07:50

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

398
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

570

Videos de Experimentos Relacionados

Last Updated: Sep 9, 2025

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
05:02

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

Published on: October 24, 2019

32.0K
Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study
07:50

Global and Current Research Trends of Single-Cell Sequencing in Cancer: A Bibliometric and Visualization Study

Published on: April 18, 2025

398
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

570

Área de la Ciencia:

  • Estadísticas biológicas
  • Metodología de los ensayos clínicos
  • Investigación en salud

Sus antecedentes:

  • El índice de ganancia (WR) ofrece un método para analizar resultados compuestos jerárquicos, priorizando eventos clínicamente significativos.
  • Su aplicación más allá de los ensayos cardiovasculares sigue siendo en gran medida inexplorada.
  • Este estudio investiga las tendencias y características de la adopción de la RV en la investigación biomédica.

Objetivo del estudio:

  • Analizar las tendencias en la utilización de la relación de ganancias (WR) en la investigación biomédica.
  • Identificar las características de los estudios que emplean la metodología WR.
  • Evaluar la adopción de WR más allá de su uso tradicional en la investigación cardiovascular.

Principales métodos:

  • Análisis bibliométrico de artículos biomédicos indexados en Web of Science y PubMed (2012-2024).
  • La extracción de datos incluyó detalles bibliométricos y de contenido.
  • Los análisis estadísticos incluyeron estadísticas descriptivas, correlación y regresión lineal.

Principales resultados:

  • Se observó un crecimiento significativo de las publicaciones de WR, con una tasa de crecimiento compuesto anual del 30,2%.
  • Los ensayos controlados aleatorizados constituyeron la mayoría de los estudios (82,9%), con un 67,6% en cardiología.
  • El WR sin coincidencia fue el enfoque predominante (69,5%), y la mortalidad fue el resultado primario más frecuente (67,1%).

Conclusiones:

  • El índice de ganancia (WR) es reconocido como un método robusto para analizar puntos finales compuestos, especialmente en la investigación cardiovascular.
  • Su adaptabilidad y su enfoque en resultados clínicamente relevantes sugieren el potencial de aplicaciones biomédicas más amplias.
  • La investigación adicional puede explorar los desafíos y las mejores prácticas para la implementación de la RB en diversas disciplinas científicas.