Abstract
ABSTRACTThis paper is the second in a two-part series intended to provide a brief overview of some of the important concepts in the field of biostatistics. In this paper, basic analysis methods are reviewed and issues important to the conduct and interpretation of research studies are discussed. Statistical methods of analysis are dependent on the type of data to be analyzed. Five common types of data are briefly explained: nominal, binary, ordinal, discrete, and continuous. Basic analysis methods are presented in the context of these defined data types. The interpretation of a study's results is the final critical step upon completion of a research study. The issues of critical thinking, bias, confounding, validity and the potential for over-interpretation of research results are discussed. Understanding biostatistical concepts and appropriately employing them over the course of the study is an essential part of quality research.
Published Version (
Free)
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.
