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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.
For example, researchers and clinicians may feel embarrassed to inform their collaborators from high-income countries of their disagreement about a study procedure or feasibility of success of a study procedure.
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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].
The success of such a study depends on multiple factors that influence the range of observable effect sizes (for example, sample size and the magnitude and direction of natural selection) [ 26].
Our experience demonstrates that although it may be feasible to conduct a large-scale study, major barriers, such as limited and possibly selective enrolment of participants resulting from the need to rely on agency staff, may hamper the success of such a study.
To define the success of a diagnostic study, results for these two endpoints have to be combined in an appropriate manner.
It is always important to state the criteria for success of a pilot study.
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