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Patient Registry Data for Research: A Basic Practical Guide

Mohamad Adam Bujang

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  <identifier identifierType="DOI">10.5281/zenodo.4722674</identifier>
      <creatorName>Mohamad Adam Bujang</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="">0000-0001-6231-4062</nameIdentifier>
      <affiliation>Clinical Research Centre, Sarawak General Hospital, Institute for Clinical Research, NIH</affiliation>
    <title>Patient Registry Data for Research: A Basic Practical Guide</title>
    <subject>Patient Registry</subject>
    <subject>Disease Registry</subject>
    <subject>Clinical Research</subject>
    <subject>Medical Registry</subject>
    <subject>Research Data</subject>
    <date dateType="Issued">2021-04-27</date>
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    <rights rightsURI="">Creative Commons Attribution Non Commercial 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;Analysis of patient data can be a complicated and challenging process, especially when the data involve many subjects and many variables. A patient registry is a database that organizes collecting the important set of data on a list of identifiable individuals for a specific disease. This type of data usually has tons of data and hundreds of different variables. Thus, the approach to conducting research by using a patient registry database will be more complicated than the other types of dataset. Since the handling of patient registry data is a challenging task, the authors have come out with this book to become a guideline for the statisticians, medical officers and scientists for them to refer as a handbook whenever they need to use patient registry data for their research.&lt;/p&gt;</description>
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