Related Experiment Video
Updated: Jan 30, 2026

07:41
Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
9.6K
Linkage between Utah All Payers Claims Database and Central Cancer Registry
Jennifer Hornung Garvin1,2,3,4, Kimberly A Herget2, Mia Hashibe5,6
1Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah.
Health Services Research
|January 25, 2019
Summary
Linking Utah cancer registry data with all-payer claims data (APCD) achieved an 82.4% linkage rate. This demonstrates claims data
Area of Science:
- Health Services Research
- Cancer Epidemiology
- Data Linkage
Background:
- Cancer registries are crucial for epidemiological studies.
- All-payer claims databases (APCD) offer comprehensive healthcare utilization data.
- Linking these datasets can enhance cancer research capabilities.
Purpose of the Study:
- To assess the feasibility and quality of linking Utah's All Payers Claims Database (APCD) with the Utah Cancer Registry (UCR).
- To determine the linkage rate and accuracy between cancer registry cases and claims data.
Main Methods:
- Utilized secondary data from the Utah APCD (2013-2014) and UCR (2013).
- Employed LinkPlus software for the data linkage process.
- Conducted a descriptive analysis of the linkage quality.
Main Results:
- Successfully linked 82.4% (9,441/11,453) of reportable cancer cases from the UCR with APCD claims.
- Achieved a 66% rate of perfect matches among the linked records.
- Identified high quality of identifiers within the datasets.
Conclusions:
- The linkage between the Utah APCD and UCR is feasible and yields a high success rate.
- Claims data possess high-quality identifiers, suggesting their potential as a valuable supplement to cancer registry data for research.
- This linkage facilitates more robust cancer research by combining registry and claims information.
Related Concept Videos
Phosphodiester Linkages
111.0K
Overview
Phosphodiester bond forms when a phosphoric acid molecule (H3PO4) links with two hydroxyl groups (–OH) of two other molecules, forming two ester bonds. Two water molecules are released in this process. The phosphodiester bond is commonly found in nucleic acids (DNA and RNA) and plays a critical role in their structure and function.
Phosphodiester Bonds Link Nucleotides Together
DNA and RNA are polynucleotides or long chains of nucleotides that are linked together. A nucleotide is...
Phosphodiester bond forms when a phosphoric acid molecule (H3PO4) links with two hydroxyl groups (–OH) of two other molecules, forming two ester bonds. Two water molecules are released in this process. The phosphodiester bond is commonly found in nucleic acids (DNA and RNA) and plays a critical role in their structure and function.
Phosphodiester Bonds Link Nucleotides Together
DNA and RNA are polynucleotides or long chains of nucleotides that are linked together. A nucleotide is...
111.0K
Ligand Binding and Linkage
5.6K
Allosteric proteins have more than one ligand binding site; the binding of a ligand to any of these sites influences the binding of ligands to the other sites. When a protein is allosteric, its binding sites are called coupled or linked. In the case of enzymes, the site that binds to the substrate is known as the active site and the other site is known as the regulatory site. When a ligand binds to the regulatory site, this leads to conformational changes in the protein that can influence...
5.6K
Ligand Binding and Linkage
4.1K
4.1K
Testing a Claim about Mean: Known Population SD
3.3K
A complete procedure of testing the hypothesis about a population mean is explained here.
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
Estimating a population mean requires the samples to be distributed normally. The data should be collected from the randomly selected samples having no sampling bias. The sample size needed to be higher than 30, and most importantly, the population standard deviation should be already known.
In most realistic situations, the population standard deviation is often unknown, but in rare circumstances, when it...
3.3K
Testing a Claim about Population Proportion
4.0K
A complete procedure for testing a claim about a population proportion is provided here.
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...
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...
4.0K
Testing a Claim about Standard Deviation
3.0K
A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
3.0K

