The phrase "analyses conducted upon" is correct and usable in written English.
It can be used when discussing research or studies that have been performed on a particular subject or data set.
Example: "The analyses conducted upon the collected data revealed significant trends in consumer behavior."
Alternatives: "analyses performed on" or "analyses carried out on".
Dedicated trials failed to find a significant reduction in CVD outcomes in a diabetic population treated with fenofibrates, [ 26] while meta-analyses conducted upon pre-specified subgroups have confirmed the clinical benefits of fibrates on major CVD events [ 27, 28].
This predefined subpopulation was defined based upon pharmacogenetic analyses conducted from prior LY2140023 trials [ 8, 9].
Sensitivity analyses are conducted upon the effects of design parameters on the fuel cell performance.
Statistical analyses were conducted upon 16,385 participants with nonmissing diabetes data.
In addition, a number of sub-analyses were conducted upon patient scores on the composite domains of the ZBPI (pain severity and pain interference), SF-36 (PCS and MCS) and EQ-5D (HSI and SRH) to test a number of pre-specified hypotheses.
In addition, a number of sub-analyses were conducted upon patient scores on the composite domains of the ZBPI (pain severity and pain interference), SF-36 (PCS and MCS) and EQ-5D (HSI and SRH) to test a number of pre-specified hypotheses, including: Age: Prior research has indicated HZ disease severity increases with age [ 37].
Phylogenetic analyses were conducted, based upon 270 bp of the MIB copies flanking sequence and upon 1080 bp of exonic and 1710 bp of intronic Mamu- B gene sequences, using a Bayesian phylogenetic analysis.
Subgroup analyses were conducted based upon report or not of the use of antibiotics prior to sampling as an exclusion factor (subgroups A and B, respectively).
Other analyses are conducted as sensitivity analyses.
The dilemma with the conflicting evaluation data is three-fold: 1) both sides are correct up to a point, depending upon how the data analyses are conducted; 2) some of the analyses lack statistical controls (specifically gender and/or income) that could make a difference in the outcome; 3) some of the sample sizes are very small--fewer than 100 students).
