Sentence examples for disaggregated data for from inspiring English sources
However, the GBD study does not provide disaggregated data for either kidney or nonmelanotic skin cancer.
Stoltzfus 2001 randomized households to iron, with random allocation of mebendazole by child, stratified by iron allocation and age grouped households; disaggregated data for each treatment allocation group was not provided for each outcome.
The reason for including perinatal mortality as an outcome was based on the fact most of the studies do not report disaggregated data for stillbirths but do that by combining stillbirths with early neonatal deaths (i.e. perinatal mortality).
The majority of studies identified by our review included both people who inject drugs and non-injecting drug users in their study populations without providing disaggregated data for these two subgroups.
MI outcomes among diabetic patients of various ethnic groups have been examined in previous studies (9), but most have either not included several different Asian subgroups or have not disaggregated data for their Asian subgroups.
With increasing decentralisation and empowerment of local governments at subnational levels (states, regions, and counties are increasingly setting priorities and budget allocations across development sectors), it is critical to provide disaggregated data for evidence-based policy making and programme design.
With small databases it is difficult to disaggregate data for homogeneous chemical classes or other types of subsets.
We were able to disaggregate data for public and private sectors in Ghana, Nepal and Sierra Leone, and further separate non-governmental organizations (NGOs) and faith-based organizations (FBOs) from the rest of the private sector in Sierra Leone.
For almost three-fourths of countries, disaggregated data are available for at least two time points.
This table provides age disaggregated data on suicide rates, for the publication for which this information was available.
UNICEF strengthens national collection, availability and use of reliable, fit-for-purpose, disaggregated data.
