Exact(26)
Stage 2 - A total of 53 patients were included in the second stage analysis.
In principle, it would be possible to include lagged department characteristics as explanatory variables in the second stage analysis.
The second stage analysis involves converting the DEA efficiency score into inefficiency score and running regression against some factors.
Few studies conducted the second stage analysis to examine the determinants of technical (in) efficiency using panel data.
There is an ongoing discussion whether the Tobit model is really the appropriate functional form for performing the second stage analysis.
In a second stage analysis, we use DEA methodology in order to evaluate the efficiency of renewable energy commitments on decreasing GHG emissions.
Similar(34)
The same controls were used in the GWAS and second stages analysis.
As seen from the first stage analysis, the input variables, including nitrogen fertilizer, labour and diesel fuel, demonstrate a significant and an expected positive relationship with cotton yield.
As a preliminary result of the first stage analysis, we obtain a relative energy resolution for single electrons of σE/E="(15.15±0.03)%/Ebeam(GeV)⊕(1.44±0.02)%, the quoted uncertainties are purely statistical.
Already, a first stage analysis using genome wide SNP technology has been carried out using 276 samples of sporadic ALS cases and 271 neurologically normal controls from this collection effort [18].
While no single locus was identified as associated with an increased risk of disease in that first stage analysis [18], these genotyping data will add greatly to the value of this resource for additional hypothesis generation.
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