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Literature DB >> 26577446

Fraud in clinical trials: complex problem, simple solutions?

Junichi Sakamoto¹, Marc Buyse^2,3.

Abstract

Year: 2015 PMID： 26577446 DOI： 10.1007/s10147-015-0922-4

Source DB: PubMed Journal: Int J Clin Oncol ISSN： 1341-9625 Impact factor: 3.402

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9 in total

1. The role of biostatistics in the prevention, detection and treatment of fraud in clinical trials.

Authors: M Buyse; S L George; S Evans; N L Geller; J Ranstam; B Scherrer; E Lesaffre; G Murray; L Edler; J Hutton; T Colton; P Lachenbruch; B L Verma
Journal: Stat Med Date: 1999-12-30 Impact factor: 2.373

2. A Hercule Poirot of clinical research.

Authors: Junichi Sakamoto
Journal: Gastric Cancer Date: 2016-01 Impact factor: 7.370

Review 3. Data-driven risk identification in phase III clinical trials using central statistical monitoring.

Authors: Catherine Timmermans; David Venet; Tomasz Burzykowski
Journal: Int J Clin Oncol Date: 2015-08-02 Impact factor: 3.402

4. Statistical monitoring of data quality and consistency in the Stomach Cancer Adjuvant Multi-institutional Trial Group Trial.

Authors: Catherine Timmermans; Erik Doffagne; David Venet; Lieven Desmet; Catherine Legrand; Tomasz Burzykowski; Marc Buyse
Journal: Gastric Cancer Date: 2015-08-23 Impact factor: 7.370

Fraud in clinical trials: complex problem, simple solutions?

1. The role of biostatistics in the prevention, detection and treatment of fraud in clinical trials.

2. A Hercule Poirot of clinical research.

Review 3. Data-driven risk identification in phase III clinical trials using central statistical monitoring.

4. Statistical monitoring of data quality and consistency in the Stomach Cancer Adjuvant Multi-institutional Trial Group Trial.

Review 5. Research misconduct and data fraud in clinical trials: prevalence and causal factors.

Review 6. Statistical challenges for central monitoring in clinical trials: a review.

7. A critical history of individual and collective ethics in the lineage of Lellouch and Schwartz.

Review 8. Strategies for dealing with fraud in clinical trials.

9. How does correlation structure differ between real and fabricated data-sets?