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

Estimating Population Standard Deviation01:26

Estimating Population Standard Deviation

When the population standard deviation is unknown and the sample size is large, the sample standard deviation s is commonly used as a point estimate of σ. However, it can sometimes under or overestimate the population standard deviation. To overcome this drawback, confidence intervals are determined to estimate population parameters and eliminate any calculation bias accurately. However, this only applies to random samples from normally distributed populations. Knowing the sample mean and...
Wilcoxon Signed-Ranks Test for Median of Single Population01:14

Wilcoxon Signed-Ranks Test for Median of Single Population

The Wilcoxon signed-rank test for the median of a single population is a nonparametric test used to evaluate whether the median of a population differs from a specified value. Unlike parametric tests, it does not require data to follow a normal distribution, making it suitable for non-normal or small samples. The test begins by calculating the difference (d) between each observation and the hypothesized median. The absolute values of these differences are ranked in ascending order, with ties...
Applications of Normal Distribution01:22

Applications of Normal Distribution

The normal distribution is a useful statistical tool. One of its practical applications is determining the door height after considering the normal distribution of heights of persons, such that many can pass through it easily without striking their heads. The normal distribution can also determine the probability of a person having a height less than a specific height.
The heights of 15 to 18-year-old males from Chile from 1984 to 1985 followed a normal distribution. The mean height is 172.36...
Sign Test for Median of Single Population01:20

Sign Test for Median of Single Population

In general, the sign test serves as a nonparametric method to test hypotheses about the median of a single population when the data does not follow a known distribution. This simplicity makes it particularly useful for small sample sizes or when the assumptions of parametric tests cannot be met. The process begins with identifying a null hypothesis, typically stating that the population median equals a specific value. The alternative hypothesis could be that the median is either not equal to,...
Estimating Population Mean with Known Standard Deviation01:16

Estimating Population Mean with Known Standard Deviation

To construct a confidence interval for a single unknown population mean μ, where the population standard deviation is known, we need sample mean as an estimate for μ and we need the margin of error. Here, the margin of error (EBM) is called the error bound for a population mean (abbreviated EBM). The sample mean is the point estimate of the unknown population mean μ.
The confidence interval estimate will have the form as follows:
(point estimate - error bound, point estimate + error bound)
The...
Introduction to Normal Distributions01:29

Introduction to Normal Distributions

Standardized test scores often follow a symmetric distribution that can be modeled with the normal distribution, a fundamental concept in statistics. This distribution is particularly useful for interpreting test performance fairly across populations, as it provides a mathematical framework for understanding variability and central tendency in large datasets.From Histogram to Frequency DistributionRaw test data are often displayed using histograms, where the height of each bar represents the...

You might also read

Related Articles

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

Sort by
Same author

Glycoinformatic Profiling of Label-Free Intact Heparan Sulfate Oligosaccharides.

Molecular & cellular proteomics : MCP·2026
Same author

The health and long-term care costs in the last year of life in The Netherlands.

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

People's preferences for self-management support.

Health services research·2021
Same author

The monetary valuation of informal care to cancer decedents at end-of-life: Evidence from a national census survey.

Palliative medicine·2021
Same author

Investigating the economic case of a service to support carers of people with dementia: A cross-sectional survey-based feasibility study in England.

Health & social care in the community·2019
Same author

The total value of time of children undergoing treatment: A contingent valuation from the perspective of parents in the orthopaedic department of a Dutch hospital.

Journal of paediatrics and child health·2018

Related Experiment Video

Updated: May 25, 2026

Oral Health Assessment by Lay Personnel for Older Adults
08:47

Oral Health Assessment by Lay Personnel for Older Adults

Published on: February 2, 2020

Sf-6d population norms.

Bernard van den Berg1

  • 1Centre for Health Economics, University of York, YORK, YO10 5DD, United Kingdom. bernard.vandenberg@york.ac.uk

Health Economics
|January 18, 2012
PubMed
Summary
This summary is machine-generated.

This study derived population norms for the SF-6D (6-item Short Form health survey) in the UK using a large national sample. Findings provide essential health utility benchmarks for policy decisions.

More Related Videos

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
07:40

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design

Published on: May 31, 2021

Related Experiment Videos

Last Updated: May 25, 2026

Oral Health Assessment by Lay Personnel for Older Adults
08:47

Oral Health Assessment by Lay Personnel for Older Adults

Published on: February 2, 2020

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
07:40

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design

Published on: May 31, 2021

Area of Science:

  • Health Economics
  • Public Health
  • Quality of Life Research

Background:

  • Generic health-related quality of life (HRQoL) measures are recommended for policy.
  • Population norms are crucial for interpreting HRQoL data.
  • The SF-6D is a valuable tool for deriving health state utilities.

Purpose of the Study:

  • To derive population norms for the SF-6D in the United Kingdom.
  • To provide benchmarks for health utility scores in a representative British sample.
  • To inform health policy and economic evaluations.

Main Methods:

  • Utilized data from 22,166 respondents of the 2010 Understanding Society survey.
  • Derived SF-6D health state utilities from the SF-12 component.
  • Analyzed utility scores by age, sex, and specific health conditions.

Main Results:

  • Mean SF-6D utility scores were 0.81 for males and 0.79 for females.
  • Older age categories exhibited lower utility scores compared to younger ones.
  • Congestive heart failure patients reported the lowest (0.60) and diabetes patients the highest (0.76) SF-6D scores.

Conclusions:

  • Established UK population norms for the SF-6D.
  • Highlighted variations in health utility by demographics and conditions.
  • Encouraged the use of these norms in health economics and policy-making.