In particular, meta-analyzing results derived from differing analytic approaches, such as the use of different covariates, different phenotype definitions, and different analytical models, has a clear potential to bias literature-based meta-analyses [ 40].
Most imaging work has been performed on small samples, with differing approaches across labs, such as in relation to the underlying hypotheses of mechanisms of training-induced change, and further study is needed regarding the validity and reliability of neuroimaging data.
How other organizations differ in their approaches, such as multi-mandate INGOs that concern themselves with both humanitarian and development aid, should also be explored.
Therefore, they differ from statistical approaches such as regression models.
It differs from other genetic approaches, such as phylogeography, in that it tends to focus on processes at finer spatial and temporal scales.
Digital PCR differs from other quantitative approaches such as real-time PCR as it allows the reaction to proceed to its plateau instead of the exponential phase of the PCR reaction.
Digital PCR differs from other quantitative approaches, such as real-time PCR, which use the exponential phase of the PCR reaction, in that digital PCR allows the reaction to proceed to its plateau and then simply uses a 'yes/no' method to monitor the presence or absence of input template [ 34].
Since the principle of ISA differs from the traditional approaches, such as the hierarchical clustering method [17], which group genes by taking into account the correlation information measured over all conditions, the prevalent high expression coherence of the modules identified herein suggests that these modules have a high probability of acting as the tightly-related functional entities.
This differs from the statistical approaches such as regressions that are traditionally used in analyses of alcohol-related factors, and (addictive) behaviours in general [ 19].
GIS-MCDA technic differs from data-driven approaches, such as weights-of-evidence methods or logistic regression, in that it uses the locations of known objects such as landslides to estimate weightings or coefficients (Pradhan, 2011a, b; Pourghasemi et al., 2012).
