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

What are Estimates?01:06

What are Estimates?

8.8K
It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
8.8K
Estimation of k and VD of Aminoglycosides01:20

Estimation of k and VD of Aminoglycosides

244
Aminoglycosides are a class of antibiotics used to treat various bacterial infections. Clinicians must determine the elimination rate constant (k) and volume of distribution (VD) to optimize therapeutic efficacy and minimize toxicity. The k value represents the rate at which the drug is removed from the body, and the VD reflects the degree to which the drug distributes into body tissues. Accurately estimating these parameters allows healthcare professionals to tailor drug dosing to individual...
244
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

7.7K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
7.7K
Estimating Population Standard Deviation01:26

Estimating Population Standard Deviation

3.4K
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...
3.4K
Estimating Population Mean with Known Standard Deviation01:16

Estimating Population Mean with Known Standard Deviation

9.7K
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 +...
9.7K
Confidence Interval for Estimating Population Mean01:25

Confidence Interval for Estimating Population Mean

8.9K
A point estimate of the population mean is obtained from a single sample. Such a point estimate does not represent a population well because it needs to account for variability in the population. Single point estimate can also be biased despite the sample being selected randomly. Thus, a point estimate is often unreliable. A confidence interval is needed to reduce this unreliability.
A confidence interval for the mean is a range of values that provides an estimate of the population mean. As the...
8.9K

You might also read

Related Articles

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

Sort by
Same author

The genomics of insecticide resistance in Anopheles funestus: insights from a large bed-net trial.

BMC genomics·2026
Same author

Genetic Surveillance Reveals Differential Evolutionary Dynamic of Anopheles gambiae Under Contrasting Insecticidal Tools Used in Malaria Control.

Molecular ecology·2026
Same author

Learning from the outliers: A longitudinal ecological study of social and spatial inequalities in older adult influenza vaccination and hospitalisation (Cheshire and Merseyside, UK, 2018-19 to 2023-24).

Vaccine·2026
Same author

Social capital and uptake of primary healthcare during protracted displacement: Evidence from four refugee settlements in northern Uganda.

Social science & medicine (1982)·2026
Same author

Correction: Overcoming barriers to NHS adoption of innovative IPC products: A qualitative study of SMEs in the Liverpool city region.

PloS one·2025
Same author

Effect of influenza vaccination on post-admission outcomes for influenza patients in England: a population-based cohort study.

Vaccine·2025
Same journal

In This Issue.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Long-term cultural continuity across the Neanderthal-modern human sequence at Üçağızlı II Cave, northern Levant.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Dolphins use names to remember whom to avoid.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Retraction for Shaked and Frenkel, Curiouser and curiouser: Meningeal lymphoid structures in the aging brain.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Small but mighty: The outsized role of small water bodies in the global carbon cycle.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Functional traits produce conditional outcomes in different community contexts.

Proceedings of the National Academy of Sciences of the United States of America·2026
See all related articles

Related Experiment Video

Updated: Feb 1, 2026

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
05:35

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

Published on: January 19, 2024

1.6K

Hybrid prevalence estimation: Method to improve intervention coverage estimations.

Caroline Jeffery1, Marcello Pagano2, Janet Hemingway3

  • 1Department of International Public Health, Liverpool School of Tropical Medicine, L3 5QA Liverpool, United Kingdom.

Proceedings of the National Academy of Sciences of the United States of America
|December 7, 2018
PubMed
Summary
This summary is machine-generated.

Combining health information systems (HIS) data with survey data creates a hybrid estimator. This improves health service accuracy and decision-making, crucial for public health tracking.

Keywords:
HISHMISLQAShealth surveysvaccination

More Related Videos

Estimation of Nephron Number in Whole Kidney using the Acid Maceration Method
08:15

Estimation of Nephron Number in Whole Kidney using the Acid Maceration Method

Published on: May 22, 2019

10.7K
Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands
09:04

Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands

Published on: August 29, 2019

14.2K

Related Experiment Videos

Last Updated: Feb 1, 2026

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
05:35

Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management

Published on: January 19, 2024

1.6K
Estimation of Nephron Number in Whole Kidney using the Acid Maceration Method
08:15

Estimation of Nephron Number in Whole Kidney using the Acid Maceration Method

Published on: May 22, 2019

10.7K
Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands
09:04

Leaf Area Index Estimation Using Three Distinct Methods in Pure Deciduous Stands

Published on: August 29, 2019

14.2K

Area of Science:

  • Public Health Informatics
  • Health Services Research
  • Data Science in Healthcare

Background:

  • Accurate health information systems (HIS) data is vital for effective health services.
  • HIS data often lacks representativeness and accuracy estimates, unlike probability surveys.
  • Gaps in HIS data can lead to poor decision-making and expose communities to health risks.

Purpose of the Study:

  • To develop and validate a hybrid estimator combining HIS and probability survey data.
  • To improve the accuracy of health service coverage estimates.
  • To enhance informed decision-making in public health interventions.

Main Methods:

  • Developed a hybrid estimator as a weighted average of HIS and probability survey data.
  • Applied the method to vitamin A and polio vaccination campaign data from Madagascar and Benin.
  • Calculated standard errors (SEs) and 95% confidence intervals (CIs) for hybrid and HIS estimators.

Main Results:

  • The hybrid estimator demonstrated higher accuracy than HIS or survey data alone.
  • Estimates from combined data and survey data differed by no more than 3%.
  • The hybrid estimator reduced SE by 1-6% and produced significantly narrower CIs compared to HIS administrative estimates.

Conclusions:

  • The hybrid estimator offers a more accurate assessment of health service coverage.
  • This methodology enhances the reliability of administrative estimates and identifies HIS errors.
  • Improved estimators are essential for effective policy formulation and resource allocation in public health.