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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

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_275006904

Statistical Techniques to Detect Fraud and other Data Irregularities in Clinical Questionnaire Data

About this item

Full title

Statistical Techniques to Detect Fraud and other Data Irregularities in Clinical Questionnaire Data

Publisher

Los Angeles, CA: SAGE Publications

Journal title

Drug information journal, 2002, Vol.36 (1), p.115-125

Language

English

Formats

Publication information

Publisher

Los Angeles, CA: SAGE Publications

More information

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...

Alternative Titles

Full title

Statistical Techniques to Detect Fraud and other Data Irregularities in Clinical Questionnaire Data

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_275006904

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_275006904

Other Identifiers

ISSN

2168-4790,0092-8615

E-ISSN

2164-9200,2168-4804

DOI

10.1177/009286150203600115

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