
What are statistics Good for in human research studies? Studies conducted on human beings may have different objectives and designs, but they all share some common principles. 1 We outline these principles as a cycle, shown in Figure 1. The first step is to obtain a sample from a population. A population is a group of human beings sharing one or more characteristics. In medical research, researchers usually define populations following a disease or a condition. Obtaining the sample is called “sampling”. 2 Researchers will then discuss the study with the potential participants. They will be part of the study sample if they accept to participate and fulfill all inclusion and exclusion criteria. Investigators will perform a series of procedures and assessments and may apply an intervention to the sample of participants. For example, a treatment may be used, and its effects on Parkinson’s Disease motor symptoms may be recorded. Notably, study results only represent the effects of the intervention on the sample of participants. However, researchers are generally interested in “extrapolating” these results to the target population. The “statistical inference” procedure allows for performing such extrapolations. 3 Statistics is the science of collecting, analyzing, and describing data to conclude a particular phenomenon based on a relatively limited sample material. 3 It employs mathematical and probabilistic tools to develop methods and models for data analysis...
ANALISIS DE DATOS, ESTADISTICAS
ANALISIS DE DATOS, ESTADISTICAS
| 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). | 0 | |
| 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 |
