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

Econometric Views (EViews)01:29

Econometric Views (EViews)

716
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
716
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.8K
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...
5.8K
Introduction to Epidemiology01:26

Introduction to Epidemiology

2.4K
Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
2.4K
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

963
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
963
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

14.7K
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...
14.7K
Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

606
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
606

You might also read

Related Articles

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

Sort by
Same author

Resources page: foundations of Nursing Care for People with Long Covid.

Evidence-based nursing·2025
Same author

Nursing on the front foot.

Evidence-based nursing·2025
Same author

Commentary: The mediating role of job stress between organisational silence and social loafing in nurses.

Journal of research in nursing : JRN·2025
Same author

Commentary: Inequalities of provision of nationally funded clinical academic training awards for healthcare professionals: quantitative comparisons across the four nations of the UK.

Journal of research in nursing : JRN·2025
Same author

Editorial.

Journal of research in nursing : JRN·2024
Same author

Editorial.

Journal of research in nursing : JRN·2024

Related Experiment Video

Updated: May 6, 2026

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

5.2K

Introduction to economic assessment.

Ann McMahon1, Chih Hoong Sin

  • 1Royal College of Nursing, London.

Nursing Management (Harrow, London, England : 1994)
|October 30, 2013
PubMed
Summary

This article introduces economic assessment principles and methods for nurse-led service innovation. It provides practical tools and case studies to help critically evaluate healthcare economics in nursing.

Area of Science:

  • Health Economics
  • Nursing Management
  • Healthcare Innovation

Background:

  • Economic assessments are crucial for evaluating healthcare services.
  • Nurse-led innovations require robust economic appraisal.
  • Understanding economic principles aids critical evaluation of healthcare initiatives.

Purpose of the Study:

  • To introduce fundamental principles of economic assessment.
  • To describe commonly cited approaches in economic evaluation.
  • To enable critical examination of economic assessments in nurse-led service innovation.

Main Methods:

  • Introduction to core economic assessment principles.
  • Description of widely used economic evaluation methodologies.
  • Presentation of two case studies on nurse-led service innovation.

More Related Videos

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

7.7K
Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

11.6K

Related Experiment Videos

Last Updated: May 6, 2026

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

5.2K
Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

7.7K
Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

11.6K

Main Results:

  • Key principles of economic assessment are explained.
  • Commonly cited economic assessment approaches are detailed.
  • Practical application illustrated through nursing case studies.

Conclusions:

  • Economic assessment principles are vital for understanding healthcare value.
  • The series provides a framework for evaluating nurse-led innovations.
  • Practical tools and case studies enhance critical appraisal skills in nursing.