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Related Concept Videos

Chi-square Analysis02:46

Chi-square Analysis

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...
Study Design in Statistics01:15

Study Design in Statistics

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...
Observational Studies01:11

Observational Studies

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

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...
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

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:

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Related Experiment Video

Updated: Jul 15, 2026

Functional MRI in Conjunction with a Novel MRI-compatible Hand-induced Robotic Device to Evaluate Rehabilitation of Individuals Recovering from Hand Grip Deficits
07:34

Functional MRI in Conjunction with a Novel MRI-compatible Hand-induced Robotic Device to Evaluate Rehabilitation of Individuals Recovering from Hand Grip Deficits

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Research methodology: A bibliometric review using the spastic hand as an example.

Xingyi Ma1, Wendong Xu1,2,3

  • 1Department of Hand Surgery, Jing'an District Central Hospital, Branch of Huashan Hospital, the National Clinical Research Center for Aging and Medicine, Fudan University, Shanghai, China.

The Journal of Hand Surgery, European Volume
|December 13, 2024
PubMed
Summary

This bibliometric review analyzes spastic hand research over 20 years. Recent trends show a shift towards surgical interventions like neurectomy and soft tissue transfer for spastic hand management.

Keywords:
Bibliometric reviewemerging trendsspastic handsurgery

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Area of Science:

  • Neurology
  • Rehabilitation Medicine
  • Biomedical Engineering

Background:

  • Bibliometric analysis systematically reviews academic literature to understand research trajectories and future trends.
  • This study analyzes two decades of research on the spastic hand using bibliometric tools.
  • The goal is to identify key contributors, research hotspots, and emerging trends in spastic hand research.

Discussion:

  • Early research predominantly focused on cerebral palsy, stroke, and botulinum toxin injections.
  • Recent advancements indicate a growing emphasis on surgical procedures, including neurectomy and soft tissue transfer.
  • The evolution of treatment strategies reflects a deeper understanding of spasticity and its management.

Key Insights:

  • The spastic hand field has evolved significantly over the past two decades.
  • Cerebral palsy and stroke remain significant conditions associated with spastic hand.
  • Botulinum toxin and surgical interventions represent key treatment modalities.

Outlook:

  • Future research should prioritize international collaboration to advance spastic hand treatment.
  • Integrating neuroimaging and electrophysiological techniques is crucial for understanding neural mechanisms.
  • Optimizing surgical procedures and exploring novel therapeutic approaches are essential for improving patient outcomes.