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The "significance" categorizations proposed by Lander and Kruglyak were used as criteria for the "success" of a study.
Array design is often considered the most important process in any microarray experiment and can be the deciding factor in the success of a study.
This affects sample size estimates and thus the success of a study, if statistical significance is missed.
We note that a question well formulated is of great importance to the success of a study.
Another factor Gagnon identified as influencing the success of a study in telehealth in palliative care included having a clinician involved in the study design.
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Critical to retention and the success of a longitudinal study is consistent contact with the study participants and updated contact information [ 20, 21].
To define the success of a diagnostic study, results for these two endpoints have to be combined in an appropriate manner.
For example, Thabane et al. [ 8] highlight the importance of assessing the success of a pilot study based on predefined criteria, typically relating to recruiting and retaining participants.
Participant recruitment is vital to the success of a research study, and yet many research projects fail to recruit a sufficient number of participants [ 1].
It is obvious that the success of a metabolomics study depends on an efficient and effective collaboration of this interdisciplinary research community.
After the success of a pilot study of the feasibility of contacting surviving participants in 1995, all 8448 surviving participants were invited to participate in another survey in 1997-8.
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