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Data Linkage Discovery Applications

2018
This chapter discusses the topic of linkage discovery for data and their applications. This chapter enhances a previous study by the authors and includes additional references that pertain to applications of linkage discovery not requiring a glossary framework.
Richard S. Segall, Shen Lu
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Data Stream Linkage Mechanism

IBM Systems Journal, 1978
Using a programming discipline called the Data Stream Linkage Mechanism (DSLM), a program can be built by linking program modules to form a network through which data passes. The network is specified by the program designer using a mixture of precoded and custom coded modules.
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Rapid computer analysis of linkage data

Annals of Human Genetics, 1978
SUMMARYA well tested and useful computer program for screening large amounts of pedigree data for linkage is described. All types of pedigree and genetic systems with up to six alleles present in the pedigree are allowed. An original procedure fills in uncertain genotypes and searches for internal inconsistencies in the data and is extremely ...
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Physical Linkage vs. Linkage Ready Data Sources

This talk will discuss approaches for linking different data sets with the goal of offering richer data sources for research. Approach one will make research easier by hosting all datasets in one place and creating one big data source. While this approach benefits from easy handling of data in one place, it also comes with issues like data ownership ...
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Linkage data on monilethrix

Cytogenetic and Genome Research, 1988
J H, Renwick, M M, Izatt
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Cancer Statistics, 2021

Ca-A Cancer Journal for Clinicians, 2021
Rebecca L Siegel, Kimberly D Miller
exaly  

Cancer statistics, 2022

Ca-A Cancer Journal for Clinicians, 2022
Rebecca L Siegel, Kimberly D Miller, Ahmedin Jemal Dvm   +2 more
exaly  

Cancer statistics, 2023

Ca-A Cancer Journal for Clinicians, 2023
Rebecca L Siegel, Kimberly D Miller, Nikita Sandeep Wagle   +2 more
exaly  

Data linkage

Statistics in Medicine, 1995
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Introduction to Data Linkage

This introduction to data linkage, led by Professor Katie Harron from UCL and Dr James Doidge from the Intensive Care National Audit and Research Centre (ICNARC), is a comprehensive workshop designed to equip researchers with an understanding of how to combine data from different sources.
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