Abstract
By the term “biostatistics,” we mean the application of the field of probability and statistics to a wide range of topics that pertain to the biological sciences. We focus our discussion on the practical applications of fundamental biostatistics in the domain of healthcare, including experimental and clinical medicine, dentistry, and nursing.
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- 1.
Note the acronym stands originally for population, intervention, comparator, outcome, timeline, and setting; the latter two are parenthetic such that they are not always used or available to use; in any case they can be described as PICO, PICOT, or PICOS research questions.
- 2.
For example, just a few years ago citizens of the United States questioned the lack of universal healthcare in their country. This was deemed as a problem to the overall well-being of the United States and its constituents, which was supported by epidemiological evidence among others (i.e., mortality rates, prevalence of preventable diseases, etc.). Moreover, the evidence proved that there was much need for an affordable and accessible healthcare plan that would solve the problems that resulted from a lack of universal healthcare in the United States. Hence, in 2008, the US Congress passed the Affordable Care Act which was aimed at settling this real-world problem for the overall well-being of the healthcare field (i.e., legislative policy) and its constituents (i.e., US citizens).
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Khakshooy, A.M., Chiappelli, F. (2018). Introduction to Biostatistics. In: Practical Biostatistics in Translational Healthcare. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-57437-9_1
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DOI: https://doi.org/10.1007/978-3-662-57437-9_1
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