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

Methods of Classification and Identification01:28

Methods of Classification and Identification

524
Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
524
Classification of Systems-II01:31

Classification of Systems-II

291
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
291
Classification of Systems-I01:26

Classification of Systems-I

380
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
380
How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

39.1K
A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
39.1K
Chromatographic Methods: Classification01:12

Chromatographic Methods: Classification

2.8K
Chromatographic techniques are classified in three ways: the classification is based on the physical state of the stationary and mobile phases, how the mobile phase and the stationary phase contact each other, or through the chemical or physical processes that isolate the components of the sample. Typically, the mobile phase is either a liquid or gas, while the stationary phase is either a solid or a liquid layer applied to a solid surface.
Chromatographic techniques are typically named by...
2.8K
Classification of Signals01:30

Classification of Signals

1.1K
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Visualization of Multi-indication Randomized Control Trial Evidence to Support Decision Making in Oncology: A Case Study on Bevacizumab.

Medical decision making : an international journal of the Society for Medical Decision Making·2026
Same author

Methods for information-sharing in network meta-analysis: Implications for inference and policy.

Research synthesis methods·2026
Same author

Economic evaluation protocol for the PRevention Of sudden cardiac death aFter myocardial Infarction by Defibrillator implantation: the PROFID EHRA trial.

BMJ open·2026
Same author

The economic value of empowering older patients transitioning from hospital to home: evidence from the 'Your Care Needs You' intervention.

Age and ageing·2025
Same author

Comparative Efficacy and Safety of Tislelizumab in Second-Line Esophageal Squamous Cell Carcinoma: Systematic Literature Review and Simulated Treatment Comparisons.

Advances in therapy·2025
Same author

Approaches to modeling treatment sequencing in practice: a thematic review of prior NICE appraisals.

International journal of technology assessment in health care·2025
Same journal

Integrating health economics and implementation science: a call to action.

BMC medical research methodology·2026
Same journal

Methods for incorporating test result information within the high-dimensional propensity score framework: application in UK electronic health record data.

BMC medical research methodology·2026
Same journal

Sparse multi-way DMDC for longitudinal classification in high dimension low sample size data.

BMC medical research methodology·2026
Same journal

Tree-based exploratory identification of predictive biomarkers in non-randomized data.

BMC medical research methodology·2026
Same journal

Comparative evaluation of interrupted time series analytical methods for healthcare quality improvement research: a Monte Carlo simulation study.

BMC medical research methodology·2026
Same journal

Methodological advances in claims-based dementia algorithms: integrating medication and clinical data for medicare populations.

BMC medical research methodology·2026
See all related articles

Related Experiment Video

Updated: Nov 4, 2025

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
05:34

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

1.1K

Classifying information-sharing methods.

Georgios F Nikolaidis1,2, Beth Woods3, Stephen Palmer3

  • 1The University of York, Centre for Health Economics, Alcuin A Block, Heslington, York, YO10 5DD, UK. georgios.f.nikolaidis@gmail.com.

BMC Medical Research Methodology
|May 23, 2021
PubMed
Summary
This summary is machine-generated.

Health Technology Assessment (HTA) often faces sparse evidence. This study identifies and classifies advanced information-sharing methods beyond simple

Keywords:
Borrowing-strengthIndirect evidenceInformation-sharingMeta-analysisNetwork meta-analysis

More Related Videos

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

9.4K
Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

3.9K

Related Experiment Videos

Last Updated: Nov 4, 2025

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
05:34

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

1.1K
Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
11:29

Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

Published on: June 20, 2020

9.4K
Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
13:44

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques

Published on: December 9, 2022

3.9K

Area of Science:

  • Biostatistics and Health Technology Assessment (HTA).
  • Evidence synthesis and meta-analysis.
  • Comparative effectiveness research.

Background:

  • Sparse relative effectiveness evidence is a common challenge in Health Technology Assessment (HTA).
  • Existing methods like 'lumping' or 'splitting' evidence are often inadequate.
  • Indirect evidence from related populations, interventions, or comparators can augment sparse data.

Purpose of the Study:

  • To identify and classify the range of available information-sharing methods for evidence synthesis.
  • To explore methods that can leverage indirect evidence when direct evidence is sparse.
  • To understand the assumptions and applicability of different information-sharing techniques.

Main Methods:

  • Systematic literature search using citation-mining techniques on seminal papers.
  • Inclusion criteria focused on papers detailing meta-analytic methods for combining information across distinct populations, interventions, outcomes, or study designs.
  • Categorization of identified methods based on their underlying relationships for information sharing.

Main Results:

  • Eighty-nine papers were included, revealing a wide array of evidence synthesis methods for information sharing.
  • Most methods (79/89) focused on sharing relative treatment effect information.
  • Information sharing across multiple outcomes (42/89) and treatments (25/89) were most common, with fewer addressing study designs (23/89) or populations (8/89).

Conclusions:

  • A broad spectrum of information-sharing methods exists, often with less stringent assumptions than traditional 'lumping' or 'splitting'.
  • The identification of four 'core' relationships (functional, exchangeability-based, prior-based, multivariate) enhances understanding of these methods' assumptions.
  • Further research is needed to evaluate the impact of these methods on healthcare decision-making and the strength of evidence sharing they impose.