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

The Tree of Life - Bacteria, Archaea, Eukaryotes02:40

The Tree of Life - Bacteria, Archaea, Eukaryotes

39.4K
The “tree of life” describes the evolution of life and the evolutionary relationships between organisms. The root of the tree is the common ancestor to all life on Earth. All other species radiate from this point, much like the branches of a tree. The numerous tips of these branches on the tree of life represent every living, or extant, species. Extinct species, which are species that no longer exist, can be found towards the center of the tree. Currently, these organisms, both...
39.4K
Survival Tree01:19

Survival Tree

437
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
437
Phylogenetic Trees03:21

Phylogenetic Trees

50.1K
Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.
50.1K
The Bronchial Tree01:23

The Bronchial Tree

7.0K
The human bronchi and bronchial tree play a crucial role in the respiratory system, facilitating the exchange of oxygen and carbon dioxide. Let's delve into the intricate structure and functions of these respiratory components.
The trachea, commonly known as the windpipe, is a tube that connects the larynx (voice box) to the bronchi. At a point called the carina, it bifurcates into two primary bronchi. The right primary bronchus is wider, shorter, and more vertical than the left primary...
7.0K
Decision Making01:20

Decision Making

1.0K
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
1.0K
Decision Making: P-value Method01:09

Decision Making: P-value Method

7.0K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
7.0K

You might also read

Related Articles

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

Sort by
Same author

Valuation of Child Health-Related Quality of Life by Child Age and Problem Duration Using a Novel Method.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research·2026
Same author

Exploring Perceived Interactions between EQ-5D-5L and Bolt-ons Using Composite Time-Tradeoff Valuations: A Qualitative Study.

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

Lewis-Acidic Properties and Catalytic Behavior of Hydroboration- and Diolysis-Derived NHC-Stabilized Borenium Cations.

Chemistry (Weinheim an der Bergstrasse, Germany)·2026
Same author

Molybdenum(VI) borano-imido complexes and their application as Lewis acid catalysts in homocoupling of diazo compounds.

Dalton transactions (Cambridge, England : 2003)·2026
Same author

Eliciting discounting model and direction at the individual level with time trade-off follow-up questions.

The European journal of health economics : HEPAC : health economics in prevention and care·2025
Same author

Revisiting the Valuation of Child Health-Related Quality of Life: Replacing Paired Comparisons With Kaizen Tasks and QALY Scaling With Experience Scaling.

Medical care·2025

Related Experiment Video

Updated: Feb 15, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.7K

A framework for sensitivity analysis of decision trees.

Bogumił Kamiński1, Michał Jakubczyk1, Przemysław Szufel1

  • 1SGH Warsaw School of Economics, Al. Niepodległości 162, 02-554 Warsaw, Poland.

Central European Journal of Operations Research
|January 30, 2018
PubMed
Summary

This study introduces a robust optimization framework for sequential decision-making under uncertainty, enhancing decision tree analysis. It helps identify stable strategies even with limited probability information, aiding managerial practice.

Keywords:
Decision optimizationDecision sensitivityDecision trees

More Related Videos

Author Spotlight: Advancements in X-ray CT Tool Chain for Tree Core Analysis
06:56

Author Spotlight: Advancements in X-ray CT Tool Chain for Tree Core Analysis

Published on: September 22, 2023

1.7K
Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

6.5K

Related Experiment Videos

Last Updated: Feb 15, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.7K
Author Spotlight: Advancements in X-ray CT Tool Chain for Tree Core Analysis
06:56

Author Spotlight: Advancements in X-ray CT Tool Chain for Tree Core Analysis

Published on: September 22, 2023

1.7K
Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

6.5K

Area of Science:

  • Decision Analysis
  • Operations Research
  • Management Science

Background:

  • Sequential decision problems often involve uncertainty, particularly regarding probability values in decision trees.
  • Limited information about true probabilities complicates sensitivity analysis for optimal strategies.
  • Robust optimization is needed to address distributional uncertainty in decision-making.

Purpose of the Study:

  • To develop a framework for sensitivity analysis of optimal strategies in decision trees, accounting for distributional uncertainty.
  • To provide an intuitive and practical approach for managerial application.
  • To enable analysis of strategy stability and identification of robust strategies under probability perturbations.

Main Methods:

  • A robust optimization approach is developed for decision trees with uncertain probabilities.
  • The framework analyzes the stability of expected-value-maximizing strategies.
  • It identifies strategies robust to pessimistic, optimistic, or mode-favoring probability perturbations.

Main Results:

  • The framework allows for the analysis of strategy stability under distributional uncertainty.
  • It successfully identifies robust strategies across different perturbation scenarios.
  • The approach is verified for independent and interrelated probability structures within decision trees.

Conclusions:

  • The proposed framework offers a practical method for sensitivity analysis in sequential decision problems.
  • It enhances decision-making by identifying robust strategies under uncertain probabilities.
  • A free software tool is available to implement the described methods.