It is known that a research design designates the logical manner in which individuals or other units are compared and analyzed. This design and the appropriate selected and applied statistical procedures serve as the basis for making interpretations of the data. Can anyone provide further suggestions for ensuring the design is appropriate and how to avoid certain pitfalls?
As I know that there are (((common))) pitfalls that reseacher can avoid in conducting research in clinical or biology setting such as carefully define study population, sample randomly from population, randomly assign subjects to expermintal and control groups and carefully define all variables and the conditions of the experiment, choose appropriate statistic for making comparison,
but what are the others????
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