
Understanding biostatistics is crucial for the estimation of sample size, determination of the power of the study, and assessing the statistical significance of the research outcome. In modern days, the estimation of the optimal sample size is a challenging and difficult task for the researchers. Although the inputs for sample size estimation for studies are predominantly available, the justification of sample numbers is still an enigma for many researchers. This chapter covers all the basic aspects of biostatistics and methods of sample size estimation in a manner that will infuse confidence in researchers and motivate them for effective calculation of sample size and to derive competent findings from their research data.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
