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

Cancer Survival Analysis01:21

Cancer Survival Analysis

336
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
336
Hazard Ratio01:12

Hazard Ratio

109
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
109
Targeted Cancer Therapies02:57

Targeted Cancer Therapies

7.5K
The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against...
7.5K
Patient-centered Care01:13

Patient-centered Care

2.0K
Patient-centered care involves delivering care beyond inpatient hospitalization. Reflective practice can enhance a patient-centered approach. Reflective practice is a process of reasoning that considers all aspects of the present situation, including practicalities, learning from personal practice, and consideration of patient needs. Patients appreciate care decisions made while considering their input. Involving the patient in their care provides the patient with a sense of contribution rather...
2.0K
Nursing Interventions II: Selecting and Classifying the Nursing Interventions01:29

Nursing Interventions II: Selecting and Classifying the Nursing Interventions

2.1K
Creating and executing a nursing diagnosis helps nurses plan care and guide patient, family, and community interventions. They are developed based on a patient's physical evaluation and support measuring the outcomes. It is not recommended to select random interventions throughout the planning process. Instead, consider the following six essential factors when choosing interventions:
2.1K
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

252
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
252

You might also read

Related Articles

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

Sort by
Same author

Personalizing N-of-1 Trial Results to Facilitate Decision-Making.

JAMA network open·2026
Same author

Toward Evidence Synthesis of Adverse Events in Imbalanced Time-to-Event Data.

Journal of evidence-based medicine·2026
Same author

Diagnosis of Alzheimer's disease and related dementias and outmigration of older Puerto Rican Medicare Fee-for-service beneficiaries, 2012-2019.

The journals of gerontology. Series B, Psychological sciences and social sciences·2026
Same author

Gut microbial bile salt hydrolase as a metabolic gatekeeper in digestive homeostasis and disease.

Frontiers in immunology·2026
Same author

Digital N-of-1 trials and their application in experimental physiology.

Experimental physiology·2026
Same author

Trial design-aware funnel plot for publication bias assessment with noninferiority or equivalence objectives.

Journal of clinical epidemiology·2026

Related Experiment Video

Updated: Jun 20, 2025

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

14.4K

PALM: PATIENT-CENTERED TREATMENT RANKING VIA LARGE-SCALE MULTIVARIATE NETWORK META-ANALYSIS.

Rui Duan1, Jiayi Tong2, Lifeng Lin3

  • 1Department of Biostatistics, Harvard T.H. Chan School of Public Health.

The Annals of Applied Statistics
|July 19, 2024
PubMed
Summary
This summary is machine-generated.

Choosing treatments is complex. This study introduces a new framework, PALM, for patient-centered treatment ranking using multivariate network meta-analysis (NMA) to handle multiple outcomes effectively.

Keywords:
Evidence-based medicinemultiple outcomesnetwork meta-analysisorigami plottreatment ranking

More Related Videos

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method
07:12

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method

Published on: August 2, 2021

3.5K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.6K

Related Experiment Videos

Last Updated: Jun 20, 2025

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

14.4K
Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method
07:12

Individualized rTMS Treatment for Depression using an fMRI-Based Targeting Method

Published on: August 2, 2021

3.5K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.6K

Area of Science:

  • Health Services Research
  • Biostatistics
  • Clinical Epidemiology

Background:

  • Increasing treatment options necessitate robust methods for comparative effectiveness and safety.
  • Network meta-analysis (NMA) synthesizes evidence but faces challenges with multiple outcomes and complex correlations.
  • Existing NMA methods struggle with large-scale, multi-outcome comparisons.

Purpose of the Study:

  • To introduce a novel framework, PALM (PAtient-centered treatment ranking via Large-scale Multivariate network meta-analysis), for patient-centered treatment selection.
  • To address the complexities of multivariate outcomes and treatment comparisons in large-scale NMAs.
  • To facilitate personalized treatment ranking by incorporating individual patient considerations.

Main Methods:

  • Development of a parsimonious modeling approach for multivariate NMAs.
  • Implementation of a fast algorithm for parameter estimation and inference.
  • Introduction of the origami plot for visualizing multivariate outcomes.
  • Design of personalized treatment ranking procedures.

Main Results:

  • The PALM framework was applied to a network meta-analysis of 14 labor induction treatments.
  • Demonstrated computational efficiency and practicality of the proposed methods.
  • Generated new insights supporting patient-centered clinical decision-making.

Conclusions:

  • The PALM framework offers a practical and efficient solution for patient-centered treatment ranking in complex multivariate NMAs.
  • The origami plot provides a novel way to present and interpret multivariate outcome data.
  • This approach enhances clinical decision-making by integrating patient preferences with evidence synthesis.