266) The ROC analysis identified a mean environmental s |
267) Therefore, our comparative genomic analysis identified a new typing approach |
268) Deductive thematic analysis identified four areas of FCC demo |
269) Co-expression analysis identified four modules of genes |
270) The analysis identified key TME subpopulations |
271) Content analysis identified strategies for creatin |
272) CART analysis identified that the DLD sum of co |
273) Our analysis identified three ways in which to |
274) Our review identified geospatial analysis in COVID-19 research and highligh |
275) mplementation, management and statistical analysis in advance to meet these challeng |
276) We conducted a thematic analysis in our literature review to eluci |
277) we show the promise of cfDNA methylation analysis in the development of a viable di |
278) He, Ne, and N2) on the sensitivity of the analysis in the presence of the gas drivin |
279) he data analysed through thematic content analysis in two consecutive phases, one de |
280) approach is the "black-box" aspect of the analysis, in the sense that this approach |
281) icient means for conducting Bayesian meta-analysis in SAS, using a worked example of |
282) al a useful introduction to Bayesian meta-analysis in SAS. |
283) sing a novel method for multi-region FRAP analysis we find a strong negative correla |
284) In a serial cross-sectional analysis, we compared the unadjusted and M |
285) Through genetic analysis, we confirmed that a direct inter |
286) d skin cancer diagnostics and fingerprint analysis, we find that pooling the decisio |
287) 26 case-control samples in an association analysis, we found a protective variant, r |
288) ine learning with phylogenies and network analysis, we generated novel sequences tha |
289) Using constrained mtDNA analysis, we identified the spatial struct |
290) nally, using differential gene expression analysis, we revealed that the established |
291) Through meta-analysis, we demonstrated an association o |
292) Network meta-analysis (NMA) allows the comparison of di |
293) f treatment ranking within a network meta-analysis (NMA) and between different NMAs. |
294) In the past years, network meta-analysis (NMA) has been widely used among |
295) Network meta-analysis (NMA) is a popular tool to synthe |
296) Network meta-analysis (NMA) is a powerful extension for |
297) Network meta-analysis (NMA) is gaining popularity in ev |
298) hods, and the application of network meta-analysis (NMA) studies to compare and eval |
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