Related Experiment Video
Updated: Aug 16, 2026

Using Pharmacological Manipulation and High-precision Radio Telemetry to Study the Spatial Cognition in Free-ranging Animals
Published on: November 6, 2016
Estimating the point accuracy of population registers using capture-recapture methods in Scotland
M J Garton1, M I Abdalla, D M Reid
1Department of Rheumatology, Aberdeen Royal Infirmary, Foresterhill.
Study Objective:
To estimate the point accuracy of adult registration on the community health index (CHI) by comparing it with the electoral register (ER) and the community charge register (CCR).
Design:
Survey of overlapping samples from three registers to ascertain whether respondents were living at the addresses given on the registers, analysed by capture-recapture methods.
Setting:
Aberdeen North and South parliamentary constituencies.
Participants:
Random samples of adult registrants aged at least 18 years from the CHI (n = 1000), ER (n = 998), and CCR (n = 956).
Main Results:
Estimated sensitivities (the proportions of the target population registered at the address where they live) were: CHI--84.6% (95% confidence limits 82.4%, 86.7%); ER--90.0% (87.5%, 92.5%), and CCR--87.7% (85.3%, 90.3%). Positive predictive values (the proportions of registrants who were living at their stated addresses) were: CHI--84.6% (82.2%, 87.0%); ER--94.0% (90.9%, 97.1%), and CCR--93.7% (91.7%, 95.7%).
Conclusions:
The CHI assessed in this study was significantly less sensitive and predictive than the corresponding ER and CCR. Capture-recapture methods are effective in assessing the accuracy of population registers.
More Related Videos
07:34Utilizing vmTracking to Improve the Accuracy of Multi-Animal Pose Estimation in Rodent Social Behavior Studies
Published on: November 7, 2025
10:55Enhancing an Avian Sound Recognition Model's Detection Precision via Logistic Regression of Large Acoustic Datasets: A Case Study of the European Robin (Erithacus rubecula)
Published on: April 11, 2026
Related Concept Videos
What are Populations and Communities?
Sample Proportion and Population Proportion
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Bootstrapping
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Censoring Survival Data