The well-conducted RCT is the most robust and reliable experimental methodology for comparing preventative and therapeutic clinical interventions.
While this design is not as robust as randomised controlled trial, it is the most robust of quasi-experimental designs, including a simple before and after study [ 13].
The combination of external and internal or invariant controls is recommended as the most robust approach to optimal experimental control.
Additionally, we note that in the case where many samples are available, a resampling technique such as this can be useful to identify the highest-confidence and most robust connections for further experimental and computational investigation [ 8, 27].
The most famous example of a robust experimental result is the numerical value obtained for Avogadro's number (6.022 x 1023) at the beginning of the 20th Century by using no less than thirteen independent methods according to the physicist Jean Perrin (Nye 1972).
This strategy has been labelled as "one of the most robust across the entire history of experimental research on learning and memory" (pdf).
High intraindividual performance variability is one of the most robust findings to emerge in cognitive-experimental research of attention deficit hyperactivity disorder (ADHD).
While the above mentioned list of the potential pitfalls in microarray and qPCR methodologies is long, most sources of error can be controlled through robust experimental designs, good laboratory practices, and rigorous normalization of the data.
An obvious asset of imaging in full-field mode (and the near-field diffraction regime) is the simple and robust experimental setup, flexible sample environments but most importantly a uniquely fast acquisition of a large 3D dataset [16].
Additionally, evaluation efforts undertaken in the most robust studies leveraged large care systems and strong quasi-experimental evaluation designs.
