While many studies have achieved successful reprogramming, other groups have had less success [ 40], which further emphasizes the requirement for optimization of experimental conditions.
Third, the premise of many studies that achieving a given target level of sedation with one sedative versus another is not widely accepted as a means to achieve different clinical outcomes.
Therefore, many studies that achieve formal statistical significance at a level of 0.05 will have standardized p-values falling in the interval between 0.05 and 0.01.
In recent years, the biomedical research community has increasingly recognized the failure of many studies to achieve reproducibility [ 16] in data analysis protocols.
Relating to this issue, many studies have been achieved to realize optimization and analyze dynamic performance of the designed machines.
Many studies fail to achieve sufficient statistical power and/or a sophisticated measurement strategy, neglecting key variables such as cost, treatment fidelity, longer-term follow up data, and process variables.
Furthermore, many studies fail to achieve adequate control of host immunorejection, making the assessment of these parameters very difficult.
Because many studies fail to achieve successful engraftment this may explain why there has yet to be a successful report of NSCs improving recovery in a delayed transplant paradigm.
Recruiting the required number of participants is vital to the success of clinical research and yet many studies fail to achieve their expected recruitment rate.
Previous reports have shown associations of ESR1 genetic variants with susceptibility to endometriosis and fertility status [ 6, 8– 13], but many studies failed to achieve an association regarding ESR1 variants and endometriosis-related infertility [ 9, 14– 16].
