Our results illustrate the strength that arises from combining datasets from a large number of primary studies within the same research field.
The funny thing is that while these articles were published two years apart and argue the exact opposite points, they support their arguments with the exact same research studies.
In the same research we studied the best pattern to intercropping and it was found that the surrounding form (a continuous line of onion encircling a lettuce line), after the experiment, showed a higher average number of non-attacked lettuce plants.
The same research group studied the effect of colloids isolated from apple pomace extraction juices on the intestinal microbiota in Wistar rats.
In the same research, we also studied successful teams at Reuters — teams that worked out of far-flung locations and, in many cases, didn't speak a common language.
The same research group also studied chronically WHV-infected woodchucks receiving antiviral therapy with the nucleoside analog 1- 2-fluoro-5-methyl-beta-L-arabino-furanosyl)uracil (L-FMAU).
The same research group later studied US Army personnel and exclusively used samples collected prior to the onset of disease for 47 RRMS, 15 PPMS, and 166 age, sex, race, and date of blood collection-matched controls.
Part of a larger research initiative of the same research team, this qualitative study was conducted from January 2011 to February 2012 using a multiple case study design [ 30].
A meta-analysis is sort of the mother of all scientific studies: researchers bring together many past studies that studied the same research questions, use specific criteria to narrow down the most similar and/or highest-quality ones, and then analyze all the numbers together to get a sense of what the general consensus in the overall evidence base is.
In addition, some studies were conducted by the same research group, and other studies had multiple outcomes, increasing the probability of type 1 errors.
