Statistical Techniques to Detect Fraud and other Data Irregularities in Clinical Questionnaire Data
Statistical Techniques to Detect Fraud and other Data Irregularities in Clinical Questionnaire Data
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Publisher
Los Angeles, CA: SAGE Publications
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Language
English
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Publisher
Los Angeles, CA: SAGE Publications
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Scope and Contents
Contents
The detection of fraud and other systematic data irregularities in clinical trials is an important issue. While awareness of the problem is growing and willingness to combat it is clear, there still appears to be a lack of detection procedures suitable for routine implementation by trial coordinators. The shortage is particularly acute for discrete...
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Full title
Statistical Techniques to Detect Fraud and other Data Irregularities in Clinical Questionnaire Data
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TN_cdi_proquest_journals_275006904
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_275006904
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ISSN
2168-4790,0092-8615
E-ISSN
2164-9200,2168-4804
DOI
10.1177/009286150203600115