The phrase "analyses end" is not correct in standard written English.
It seems to be an incomplete or unclear expression, and without additional context, its intended meaning is ambiguous.
Example: "The analyses end when all data has been reviewed and conclusions drawn."
Alternatives: "analysis conclusion" or "end of analysis".
Many analyses end because there is no "so what?" Certainly if 80% of meetings start within a few minutes of their scheduled start times, the answer to the original question is, "No, meetings start pretty much on time," and there is no need to go further.
The average publication lag, or the time elapsed from the analyses' end, as identified by the sample's last point in time, and the year of publication, is 7.62 years, with a slightly positive skewness of 0.76 (cf. Fig. 2).
Both analyses ended up in the same conclusion.
In analyses ending in progressively later years, the pattern of increasing hypercholesterolemia hazard with increasing PFOA exposure became progressively weaker for both exposure metrics.
Analyses ended at the earliest of the age at diagnosis of the condition of interest, death, or the last study questionnaire.
In total, 352 individuals (16.2%) were transferred from the study to the reference group, so that we in the analyses ended up with 1827 baggage handlers and 2062 in the reference group.
This increased risk was not explained by the introduction of biologic therapies, since the association was similar in analyses ending in 1999 when biologics became available, but it is important to note that in 1986 the first report was published of MTX use in JIA [ 55, 56].
We analysed end points according to group of allocation.
To analyse end sequences, BAC DNAs were amplified using a TempliPhi large construction kit (GE Healthcare, UK), and the end sequences were analysed according to the Sanger method using a cycle sequencing kit (Big Dye-terminator kit, Applied Biosystems, USA) with DNA sequencer type 3730xl (Applied Biosystems).
C. Analyse last (open ended) question using qualitative research methodology.
We risk falling victim to a dictatorship of data, whereby we fetishise the information, the output of our analyses, and end up misusing it.
