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Six red flags for suspect work
by
Begley, C. Glenn
in
Data Interpretation, Statistical
/ Email
/ Experiments
/ Hypotheses
/ Indicators and Reagents - standards
/ Medical research
/ Methods
/ Observer Variation
/ Quality Control
/ Reproducibility of Results
/ Research Design - standards
/ Research Design - statistics & numerical data
/ Scientific communication
/ Scientific Misconduct - statistics & numerical data
/ Scientists
/ Studies
/ Time
/ Vice presidents (Organizations)
2013
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Six red flags for suspect work
by
Begley, C. Glenn
in
Data Interpretation, Statistical
/ Email
/ Experiments
/ Hypotheses
/ Indicators and Reagents - standards
/ Medical research
/ Methods
/ Observer Variation
/ Quality Control
/ Reproducibility of Results
/ Research Design - standards
/ Research Design - statistics & numerical data
/ Scientific communication
/ Scientific Misconduct - statistics & numerical data
/ Scientists
/ Studies
/ Time
/ Vice presidents (Organizations)
2013
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Do you wish to request the book?
Six red flags for suspect work
by
Begley, C. Glenn
in
Data Interpretation, Statistical
/ Email
/ Experiments
/ Hypotheses
/ Indicators and Reagents - standards
/ Medical research
/ Methods
/ Observer Variation
/ Quality Control
/ Reproducibility of Results
/ Research Design - standards
/ Research Design - statistics & numerical data
/ Scientific communication
/ Scientific Misconduct - statistics & numerical data
/ Scientists
/ Studies
/ Time
/ Vice presidents (Organizations)
2013
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Journal Article
Six red flags for suspect work
2013
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Overview
[...]animal studies, in vitro work and reading of gels - which are used in protein or DNA separation - can and should all be done, or at the very least reviewed, by an investigator blinded to the experimental versus control groups. Since the Journal of Cell Biology began routinely screening images, it has had to revoke 1% of acceptances after finding digitally manipulated image files3. In such studies it is now the gold standard to blind investigators, include concurrent controls, rigorously apply statistical tests and analyse all patients - we cannot exclude patients because we do not like their outcomes.
Publisher
Nature Publishing Group
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