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Particular issues include the problem that individual trials are time consuming, so limiting the total number of trials in any condition.
The requirements for informed consent and regulatory oversight in all trials are time consuming and expensive, even for trials comparing two interventions that have already been shown to be safe and are in widespread and routine use.
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Conduct of trials is time consuming and many of the assessed trials may have been initiated a few years before publication, when guidelines on use of patient reported outcomes in trials were unavailable.
Furthermore, assessing patient eligibility for inclusion in the trial is time consuming.
Our experience exposes some of the challenges: recruitment to the trial was time consuming and resource intensive, most notably in accommodating the needs of physically and cognitively impaired older people.
Randomized clinical trials are time-consuming and take a lot of effort of the patient and the team members.
Common methods such as trial-and-error are time consuming and tedious.
Both the lack of precise rolling process models and analytical methods for the investigation of mill stability have forced designers and users to rely on experience and trial and error, which are time consuming and cost demanding.
Both are time consuming.
An experimental based trial-and-error method is time consuming and uses up resources.
In addition, neural networks approach needs to find network parameters such as number of hidden layers and neurons by trial and error, which is time consuming.
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