Abstract
The chapter describes the major components of good experimental design. It discusses the first important step: developing hypotheses to be studied. Further, it reviews the various study design options, followed by the definition of bias and how to reduce or minimize biases in the conduct of the study. The study follows a discussion of one of the more important aspects of a good study design: sample. A well designed, executed, and analyzed clinical research study on a sample, or, that is, a study with good experimental design, gives the researchers the best chance of obtaining study results applicable to the population from which the samples are taken. Good experimental design requires that the researchers and the study personnel take great care when performing study-related tasks from the moment the hypothesis is generated to the time of final analysis. The hope is that the overview provided here, with the aid of specific references provided, aids the researcher in designing and conducting a clinical research study. The study ends with a discussion of study endpoints, data management, and statistical analysis.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
