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

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

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

627
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,...
627
Bioequivalence Data: Statistical Interpretation01:16

Bioequivalence Data: Statistical Interpretation

357
The statistical interpretation of bioequivalence data is a significant aspect of pharmaceutical research. Bioequivalence refers to the absence of any significant difference in the rate and extent to which the active ingredient in pharmaceutical products becomes available at the site of drug action when administered at the same molar dose under similar conditions. This helps determine if different drug products have similar absorption rates, ensuring their interchangeability.Statistical...
357
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

712
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...
712
Cardiomyopathy V: Interprofessional Care01:29

Cardiomyopathy V: Interprofessional Care

753
Managing cardiomyopathy involves addressing underlying or precipitating causes, treating heart failure with medications, and implementing dietary changes and a balanced exercise and rest regimen.Lifestyle ModificationsCardiomyopathy patients should adopt a low-sodium diet to reduce fluid retention and manage heart failure. A personalized exercise and rest plan helps maintain physical fitness without overstraining the heart. Avoiding alcohol and tobacco is essential to prevent further damage to...
753
Cardiovascular Drugs: Classification based on Therapeutic Indications01:18

Cardiovascular Drugs: Classification based on Therapeutic Indications

4.2K
Cardiovascular diseases, encompassing a range of conditions, can significantly affect the heart's operations and the overall circulatory system. These conditions impair the heart's ability to pump blood, leading to a deficit in oxygen supply to crucial organs. Anomalies in the heart's electrical system, known as arrhythmias, can cause heartbeats to accelerate or slow down. Usually, heart rates increase during physical activity and decrease while resting or sleeping. However,...
4.2K
Atherosclerosis III: Management01:26

Atherosclerosis III: Management

741
Management of atherosclerosis involves an integrated strategy encompassing pharmacological treatment, surgical interventions, lifestyle changes, and nutrition therapy to address the multifactorial nature of the disease.Pharmacological TherapyA cornerstone of atherosclerosis management is the use of pharmacological agents. Statins, such as atorvastatin, are pivotal in inhibiting HMG-CoA reductase, an enzyme that catalyzes an initial step in cholesterol synthesis in the liver. This reduction in...
741

You might also read

Related Articles

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

Sort by
Same author

Economic evaluation of added neoadjuvant cemiplimab to upfront wide local excision for advanced cutaneous squamous cell carcinoma of the head and neck.

JID innovations : skin science from molecules to population health·2026
Same author

Findings from the Choices about Abortion CaRE Options (CARE) Study: A Discrete-Choice Experiment.

Contraception·2026
Same author

Patient-Centered Evaluation of Anticoagulation in Atrial Fibrillation.

NEJM evidence·2026
Same author

Development of a decision aid to help dually enrolled veterans make informed choices on medication sourcing.

Journal of managed care & specialty pharmacy·2026
Same author

Physical rehabilitation for older patients with acute HFpEF (REHAB-HFpEF) trial: Design and rationale.

American heart journal·2026
Same author

Guidance or Misdirection? Unpacking the Role of Feedback in Health Preference Assessments.

Health economics·2026

Related Experiment Video

Updated: Apr 30, 2026

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

1.2K

Statistical considerations in economic evaluations: a guide for cardiologists.

Shelby D Reed1

  • 1Duke Clinical Research Institute and Department of Medicine, Duke University School of Medicine, PO Box 17969, Durham, NC 27715, USA shelby.reed@duke.edu.

European Heart Journal
|May 8, 2014
PubMed
Summary

This review covers statistical methods for economic evaluations using patient-level data. It discusses data characteristics and interpretation challenges for accurate health economic analysis.

Keywords:
Costs and cost analysisCost–benefit analysis

More Related Videos

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

14.3K
Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
05:16

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure

Published on: June 10, 2025

803

Related Experiment Videos

Last Updated: Apr 30, 2026

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

1.2K
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

14.3K
Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure
05:16

Cutoff Value of Phase Angle by Bioelectrical Impedance Analysis at Admission as a Prognostic Factor in Patients with Acute Heart Failure

Published on: June 10, 2025

803

Area of Science:

  • Health Economics
  • Biostatistics
  • Statistical Modeling

Background:

  • Economic evaluations increasingly utilize individual patient-level data.
  • Unique characteristics of health economic data necessitate specialized statistical approaches.
  • Foundational concepts in statistical methods for economic evaluations are essential.

Purpose of the Study:

  • To review statistical methods commonly applied in economic evaluations using individual patient-level data.
  • To highlight unique characteristics of health economic data and methods addressing them.
  • To discuss critical issues in interpreting findings from economic evaluations.

Main Methods:

  • Review of foundational statistical concepts.
  • Examination of health economic data characteristics.
  • Analysis of statistical methods tailored for patient-level economic data.

Main Results:

  • Commonly applied statistical methods in economic evaluations are identified.
  • Specific methods for handling unique health economic data features are presented.
  • Key considerations for interpreting economic evaluation findings are outlined.

Conclusions:

  • Understanding specialized statistical methods is crucial for robust economic evaluations.
  • Appropriate methods enhance the reliability of findings from patient-level data.
  • Careful interpretation of results ensures the validity and utility of economic evaluations.