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?

7.6K
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...
7.6K
Surveys02:16

Surveys

14.3K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
14.3K
Sampling Plans01:23

Sampling Plans

1.5K
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
1.5K
Convenience Sampling Method00:55

Convenience Sampling Method

8.6K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
8.6K
Odds Ratio01:09

Odds Ratio

2.3K
The odds ratio (OR) is a statistical measure used extensively in epidemiology and research to quantify the strength of association between exposure and outcome across different groups. Unlike relative risk, which compares the probabilities of an event occurring, the odds ratio compares the odds of an event occurring in the exposed group to the odds of it occurring in the unexposed group. The odds, in this context, are calculated as the probability of the event happening divided by the...
2.3K
Response Surface Methodology01:16

Response Surface Methodology

904
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
904

You might also read

Related Articles

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

Sort by
Same author

Randomized controlled trial demonstrates novel tools to assess patient outcomes of Indigenous cultural safety training.

BMC medicine·2024
Same author

Uncovering SARS-COV-2 vaccine uptake and COVID-19 impacts among First Nations, Inuit and Métis Peoples living in Toronto and London, Ontario.

CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne·2022
Same author

Population-Level Impact and Cost-effectiveness of Continuous Glucose Monitoring and Intermittently Scanned Continuous Glucose Monitoring Technologies for Adults With Type 1 Diabetes in Canada: A Modeling Study.

Diabetes care·2022
Same author

A systematic review and meta-analysis of the effect of treadmill desks on energy expenditure, sitting time and cardiometabolic health in adults.

BMC public health·2021
Same author

A Comparison of On-Ice External Load Measures Between Subelite and Elite Female Ice Hockey Players.

Journal of strength and conditioning research·2020
Same author

On-Ice Measures of External Load in Relation to Match Outcome in Elite Female Ice Hockey.

Sports (Basel, Switzerland)·2019

Related Experiment Video

Updated: May 4, 2026

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

Towards the estimation of effect measures in studies using respondent-driven sampling.

Michael A Rotondi1

  • 1York University, Toronto, Ontario, Canada, mrotondi@yorku.ca.

Journal of Urban Health : Bulletin of the New York Academy of Medicine
|December 12, 2013
PubMed
Summary

This study introduces a new statistical method, Method of Variance Estimates Recovery (MOVER), to create confidence intervals for hidden populations sampled using Respondent-Driven Sampling (RDS). This enhances analysis of complex health data from hard-to-reach groups.

More Related Videos

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
05:59

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

8.2K
Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
06:26

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Published on: November 27, 2019

82.5K

Related Experiment Videos

Last Updated: May 4, 2026

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
Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
05:59

Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity

Published on: March 7, 2019

8.2K
Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI
06:26

Meta-analysis of Voxel-Based Neuroimaging Studies using Seed-based d Mapping with Permutation of Subject Images SDM-PSI

Published on: November 27, 2019

82.5K

Area of Science:

  • Biostatistics
  • Epidemiology
  • Public Health Research Methods

Background:

  • Respondent-Driven Sampling (RDS) is widely used for recruiting hidden populations.
  • Standard statistical analyses for RDS are complex due to correlated outcomes and subject weighting, often limiting analysis to population proportion estimation.
  • Existing methods struggle to provide robust confidence intervals for effect measures in RDS studies.

Purpose of the Study:

  • To adapt and apply the Method of Variance Estimates Recovery (MOVER) for constructing confidence intervals in Respondent-Driven Sampling (RDS) studies.
  • To enable estimation of effect measures beyond simple proportions, such as risk differences and relative risks.
  • To provide a versatile method applicable to both new and existing RDS research.

Main Methods:

  • The study applies the Method of Variance Estimates Recovery (MOVER) to RDS data.
  • MOVER is used to construct confidence intervals for effect measures like risk difference and relative risk.
  • The approach utilizes existing proportion estimates and their confidence limits from RDS studies.

Main Results:

  • MOVER successfully generated confidence intervals for demographic characteristic differences between RDS and convenience samples of injection drug users.
  • Confidence intervals for relative risks between education levels and HIV seropositivity/syphilis infection were obtained using MOVER.
  • The application demonstrates MOVER's utility in providing confidence intervals for key epidemiological measures in RDS.

Conclusions:

  • The Method of Variance Estimates Recovery (MOVER) offers a straightforward approach to constructing confidence intervals for effect measures in Respondent-Driven Sampling (RDS) studies.
  • This method expands analytical possibilities for RDS research, moving beyond simple proportion estimation.
  • MOVER's reliance on basic statistical inputs allows for retrospective analysis of previously published RDS studies.