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Related Concept Videos

Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
Data Collection by Observations01:08

Data Collection by Observations

Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
What are Estimates?01:06

What are Estimates?

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 as the mean,...
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...
Archival Research01:40

Archival Research

Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
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Data Collection I

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Related Experiment Video

Updated: Jul 13, 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

Using administrative data sources in the estimation of emigration.

Helen Evans1, Lucy Vickers, Emma Wright

  • 1Office for National Statistics.

Population Trends
|August 19, 2007
PubMed
Summary

Accurate migration measurement is vital for population statistics. This study explores using administrative data to improve emigration estimates from Great Britain, addressing current data challenges.

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Last Updated: Jul 13, 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

Area of Science:

  • Demography
  • Official Statistics
  • Data Science

Background:

  • Accurate measurement of migration is crucial for informing population estimates and projections.
  • Current data sources face challenges in producing robust estimates of emigration from Great Britain.
  • The Office for National Statistics (ONS) is responsible for official statistics in the UK.

Purpose of the Study:

  • To investigate the potential of using administrative data sources to improve the measurement of emigration from Great Britain.
  • To address the limitations of existing methods for estimating emigration.
  • To explore innovative approaches for official statistics production.

Main Methods:

  • Review of existing literature on migration measurement.
  • Analysis of available administrative data sources within the UK.
  • Development of methodologies for integrating administrative data into emigration estimation.
  • Comparison of estimates derived from administrative data with existing methods.

Main Results:

  • Preliminary findings suggest administrative data holds potential for enhancing emigration estimates.
  • Specific administrative datasets show promise for capturing aspects of population outflow.
  • Challenges remain in data access, quality, and methodological integration.

Conclusions:

  • Administrative data offers a promising avenue to improve the robustness of emigration estimates from Great Britain.
  • Further research and development are needed to fully leverage administrative data for migration statistics.
  • Collaboration between statistical agencies and data owners is essential for progress.