The combination of the used methods enables us to gain a more distinct picture concerning processes during the PMI as well as a more realistic approximation of the PMI based on MIAs.
The use of geospatial methods enabled us to categorise and map finer-resolution geographical patterns that would have been obscured using traditional epidemiological methods.
Using a purposive sampling method the results of this study may not be representative of West Java or the Indonesian population; however, using qualitative methods enabled us to explore and understand the perspectives of community members on delivery care services.
The use of qualitative methods enabled us to undertake a detailed exploration of the opinions and experiences of professionals.
Using this method enabled us to detect any modulation in ERP activities related to experimental conditions with very low onset time estimation error (<12ms).
Notably, the SmartAmp2 method enables us to analyze mutations using a drop of whole blood and the dried blood spot.
Using this method enabled us to account for differences in maternal characteristics between public and private patients where information was available.
Using this method enabled us to comment on, for example, the ethnic uniformity of participants, and the lack of evidence collected regarding mode of feeding.
Using this method enabled us to measure recombination directly in the individuals under selection, as opposed to earlier studies that measured recombination in the offspring of the selected individuals, and provided us with a better genomic coverage than in any previous study [ 29, 30].
Although this method was not optimal for quantitative analyses of these elements, using a standardized method enabled us to compare the relative quantities of these elements in the soils of the two forest types.
