<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>11 Suppl 2</volume><submitter>Andersson N</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Focus groups, rapid assessment procedures, key informant interviews and institutional reviews of local health services provide valuable insights on health service resources and performance. A long-standing challenge of health planning is to combine this sort of qualitative evidence in a unified analysis with quantitative evidence from household surveys. A particular challenge in this regard is to take account of the neighbourhood or clustering effects, recognising that these can be informative or incidental.&lt;h4>Methods&lt;/h4>An example of food aid and food sufficiency from the Bosnian emergency (1995-96) illustrates two Lamothe cluster-adjustments of the Mantel Haenszel (MH) procedure, one assuming a fixed odds ratio and the other allowing for informative clustering by not</pubmed_abstract><journal>BMC health services research</journal><pagination>S15</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC3332559</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Clustering and meso-level variables in cross-sectional surveys: an example of food aid during the Bosnian crisis.</pubmed_title><pmcid>PMC3332559</pmcid><pubmed_authors>Lamothe G</pubmed_authors><pubmed_authors>Andersson N</pubmed_authors></additional><is_claimable>false</is_claimable><name>Clustering and meso-level variables in cross-sectional surveys: an example of food aid during the Bosnian crisis.</name><description>&lt;h4>Background&lt;/h4>Focus groups, rapid assessment procedures, key informant interviews and institutional reviews of local health services provide valuable insights on health service resources and performance. A long-standing challenge of health planning is to combine this sort of qualitative evidence in a unified analysis with quantitative evidence from household surveys. A particular challenge in this regard is to take account of the neighbourhood or clustering effects, recognising that these can be informative or incidental.&lt;h4>Methods&lt;/h4>An example of food aid and food sufficiency from the Bosnian emergency (1995-96) illustrates two Lamothe cluster-adjustments of the Mantel Haenszel (MH) procedure, one assuming a fixed odds ratio and the other allowing for informative clustering by not</description><dates><release>2011-01-01T00:00:00Z</release><publication>2011 Dec</publication><modification>2025-04-04T21:05:55.491Z</modification><creation>2019-03-27T00:52:33Z</creation></dates><accession>S-EPMC3332559</accession><cross_references><pubmed>22376353</pubmed><doi>10.1186/1472-6963-11-S2-S15</doi></cross_references></HashMap>