Sentence examples for disaggregated data for the from inspiring English sources

In cases where some, but not all, of a study's participants were eligible for the review - such as a mixed population of individuals with and without intellectual disability - study authors were asked to provide disaggregated data for the subset of participants who met inclusion criteria.

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.

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).

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.

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.

Priorities include: developing rights-sensitive indicators and other tools to fill data gaps on 'sensitive' or emerging issues; refining disaggregated data for disparity-reduction goals; developing capacity and creating/promoting new tools, systems, and methods of analysis; and using and disseminating 'actionable' data to inform public debate and policy formulation more creatively.

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.

In the case of gender disaggregated data, the unknown category is also been left out for similar reasons as above.