24 Matching Annotations
  1. Last 7 days
  2. Jul 2020
  3. Jun 2020
  4. May 2020
    1. The magnitude of the Pearson correlation coefficient determines the strength of the correlation. Although there are no hard-and-fast rules for assigning strength of association to particular values, some general guidelines are provided by Cohen (1988):

      Magnitude of pearson correlation coeficient.

  5. Apr 2020
  6. Nov 2019
  7. Sep 2019
    1. move away from identifying correlative relationships between characteristics of the microbiome and system-level processes, and towards identifying more causative and mechanistic relationships
  8. Aug 2019
    1. relationships between characteristics of microbiomes and the system-level processes that they influence are often evaluated in the absence of a robust conceptual framework and reported without elucidating the underlying causal mechanisms. The reliance on correlative approaches limits the potential to expand the inference of a single relationship to additional systems and advance the field
  9. Feb 2019
    1. You may believe that there is a relationship between 10,000 m running performance and VO2max (i.e., the larger an athlete's VO2max, the better their running performance), but you would like to know if this relationship is affected by wind speed and humidity (e.g., if the relationship changes when taking wind speed and humidity into account since you suspect that athletes' performance decreases in more windy and humid conditions).

      An example of partial correlation.

  10. Mar 2018
    1. Assess-ing causality is one of the most needed futuredevelopments in SciSci: Many descriptive studiesreveal strong associations between structure andoutcomes, but the extent to which a specific struc-ture“causes”an outcome remains unexplored.
  11. May 2017
    1. Figure 1.8

      Several sets of (x, y) points, with the correlation coefficient of x and y for each set. Note that the correlation reflects the non-linearity and direction of a linear relationship (top row), but not the slope of that relationship (middle), nor many aspects of nonlinear relationships (bottom). N.B.: the figure in the center has a slope of 0 but in that case the correlation coefficient is undefined because the variance of Y is zero.