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Results (51 - 75) of 161 Page(s): Previous  1 2 3 4 5 6 7 Next
Differences in Proxy-Reported and Self-Reported Disability in the Demographic and Health Surveys
Author(s): Mahmoud Elkasabi
Journal: Journal of Survey Statistics and Methodology (DEC 2020) , Volume 9, Issue 2; DOI: https://doi.org/10.1093/jssam/smaa041
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Mali, South Africa, Uganda
Web: https://academic.oup.com/jssam/article/9/2/335/6029113
Machine learning approach for predicting under-five mortality determinants in Ethiopia: evidence from the 2016 Ethiopian Demographic and Health Survey
Author(s): Fikrewold H. Bitew, Samuel H. Nyarko, Lloyd Potter, and Corey S. Sparks
Journal: Genus (NOV 2020) , Volume 76, Article number: 37; DOI: https://doi.org/10.1186/s41118-020-00106-2
Topic(s): Child Health and Development , Infant and Child Mortality , Survey Methodology, Data Quality, Analysis
Country(s): Ethiopia
Web: https://genus.springeropen.com/articles/10.1186/s41118-020-0
Structural equation modeling on the relationship between maternal characteristics and pregnancy complications: A study based on National Family Health Survey
Author(s): Pradeep Kumar and Preeti Dhillon
Journal: Journal of Obstetrics and Gynaecology Research (NOV 2020) , DOI: 10.1111/jog.14566
Topic(s): Fertility and Fertility Preferences , Maternal Health , Survey Methodology, Data Quality, Analysis , Wealth/Socioeconomics
Country(s): India
Web: https://pubmed.ncbi.nlm.nih.gov/33191654/
Exposure to Armed Conflict and Fertility in Sub-Saharan Africa
Author(s): Brian C. Thiede, Matthew Hancock, Ahmed Kodouda, and James Piazza
Journal: Demography (OCT 2020) , Volume 57 (6): https://doi.org/10.1007/s13524-020-00923-2
Topic(s): Fertility and Fertility Preferences , Geographic Information , Survey Methodology, Data Quality, Analysis
Country(s): Multiple African Countries
Web: https://read.dukeupress.edu/demography/article/57/6/2113/168
Anthropometric data quality assessment in multisurvey studies of child growth
Author(s): Nandita Perumal, Sorrel Namaste, Huma Qamar, Ashley Aimone, Diego G. Bassani, and Daniel E. Roth
Journal: American Journal of Clinical Nutrition (SEP 2020) , 112(Suppl 2):806S-815S; DOI: 10.1093/ajcn/nqaa162
Topic(s): Anthropometry/Biomarkers , Child Health and Development , Nutrition , Survey Methodology, Data Quality, Analysis
Country(s): Multiple Regions
Web: https://pubmed.ncbi.nlm.nih.gov/32672330/
Composite Health Quality Index: Assessing the State of Public Health In The Districts of North Eastern States of India
Author(s): Hemant and Amit Kumar Goyal
Journal: Diversity and Equality in Health and Care (JUL 2020)
Topic(s): Household and Respondent Characteristics , Survey Methodology, Data Quality, Analysis
Country(s): India
Web: https://diversityhealthcare.imedpub.com/composite-health-qua
Prevalence of Diabetes Mellitus and Its Associated Factors in Bangladesh: Application of Two-level Logistic Regression Model
Author(s): Ashis Talukder and Zobayer Hossain, MD
Journal: Scientific Reports (JUN 2020) , Volume 10, Article number: 10237; DOI: https://doi.org/10.1038/s41598-020-66084-9
Topic(s): Adult Health Issues , Anthropometry/Biomarkers , Non-communicable diseases , Nutrition , Survey Methodology, Data Quality, Analysis , Wealth/Socioeconomics
Country(s): Bangladesh
Web: https://www.nature.com/articles/s41598-020-66084-9
Contraceptive Use in Nigeria: Does Social Context Matter?
Author(s): Dorothy N. Ononokpono, Clifford O. Odimegwu, and Nsidibe A. Usoro
Journal: African Journal of Reproductive Health (MAY 2020) , Vol. 24, No. 1
Topic(s): Family Planning , Household and Respondent Characteristics , Survey Methodology, Data Quality, Analysis
Country(s): Nigeria
Web: https://www.ajol.info/index.php/ajrh/article/view/195567
Demographic and Health Diversity in the Era of SDGs
Author(s): K S James, S Irudaya Rajan, and Srinivas Goli
Journal: Economic and Political Weekly (FEB 2020) , 55(6)
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): India
Web: https://www.epw.in/journal/2020/6/national-family-health-sur
An Assessment: Quality of Data in NFHS-4 Compared to Earlier Rounds
Author(s): K Srinivasan, and Rakesh Mishra
Journal: Economic and Political Weekly (FEB 2020) , 55(6)
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): India
Web: https://epw.in/journal/2020/6/national-family-health-survey-
Lessons for the Future: Twenty-five Years of the NFHS
Author(s): S Irudaya Rajan
Journal: Economic and Political Weekly (FEB 2020) , 55(6)
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): India
Web: https://epw.in/journal/2020/6/national-family-health-survey-
Proximate determinants of infant mortality in Ethiopia, 2016 Ethiopian demographic and health surveys: results from a survival analysis
Author(s): Masrie Getnet Abate, Dessie Abebaw Angaw and Tamrat Shaweno
Journal: Archives of Public Health (JAN 2020) , Volume 78, issue 4; DOI:https://doi.org/10.1186/s13690-019-0387-4
Topic(s): Infant and Child Mortality , Survey Methodology, Data Quality, Analysis
Country(s): Ethiopia
Web: https://archpublichealth.biomedcentral.com/articles/10.1186/
Methods for analysis of complex survey data: an application using the Tanzanian 2015 Demographic and Health Survey and Service Provision Assessment
Author(s): Sheffel A, Wilson E, Munos M, and Zeger S
Journal: Journal of Global Health (DEC 2019) , 9(2): 020902; DOI: 10.7189/jogh.09.020902
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Tanzania
Web: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6925968/
A bootstrapping approach for generating an inverse distance weight matrix when multiple observations have an identical location in large health surveys
Author(s): Sung Wook Kim, Felix Achana, and Stavros Petrou
Journal: International Journal of Health Geographics (NOV 2019) , 18(27); DOI:10.1186/s12942-019-0189-5
Topic(s): Geographic Information , HIV/AIDS , Survey Methodology, Data Quality, Analysis
Country(s): Malawi
Web: https://ij-healthgeographics.biomedcentral.com/articles/10.1
Modelling the Wealth Index of Demographic and Health Surveys within Cities Using Very High-Resolution Remotely Sensed Information
Author(s): Stefanos Georganos, Assane Niang Gadiaga, Catherine Linard, Tais Grippa, Sabine Vanhuysse, Nicholus Mboga, Eléonore Wol, Sébastien Dujardin, and Moritz Lennert
Journal: Remote Sensing (OCT 2019) , 11: 2543; DOI: 10.3390/rs11212543
Topic(s): Geographic Information , Survey Methodology, Data Quality, Analysis , Wealth/Socioeconomics
Country(s): Senegal
Web: https://www.google.com/url?rct=j&sa=t&url=https://www.mdpi.c
Age heaping among adults in Nigeria: evidence from the Nigeria Demographic and Health Surveys 2003–2013
Author(s): Olufunke Fayehun, Anthony I. Ajayi, Chinwe Onuegbu, and Daniel Egerson
Journal: Journal of Biosocial Science (JUL 2019) , Published Online; DOI: 10.1017/S0021932019000348
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Nigeria
Calculating fertility and childhood mortality rates from survey data using the DHS.rates R package
Author(s): Mahmoud Elkasabi
Journal: PLOS ONE (MAY 2019) , 14(5): e0216403; DOI: 10.1371/journal.pone.0216403
Topic(s): Child Health and Development , Fertility and Fertility Preferences , Infant and Child Mortality , Survey Methodology, Data Quality, Analysis
Country(s): Multiple Regions
Web: https://journals.plos.org/plosone/article?id=10.1371/journal
Estimation of Conditional Prevalence from Group Testing Data with Missing Covariates
Author(s): Aurore Delaigle, Wei Huang, and Shaoke Lei
Journal: Journal of the American Statistical Association (APR 2019) , Published online; DOI: 10.1080/01621459.2019.1566071
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Multiple Regions
Misreporting Month of Birth: Diagnosis and Implications for Research on Nutrition and Early Childhood in Developing Countries
Author(s): Anna Folke Larsen, Derek Headey, and William A. Masters
Journal: Demography (JAN 2019) , Online first; DOI:10.1007/s13524-018-0753-9
Topic(s): Nutrition , Survey Methodology, Data Quality, Analysis
Country(s): Multiple Regions
Web: https://link.springer.com/article/10.1007/s13524-018-0753-9
Assessment of Anthropometric Data Following Investments to Ensure Quality: Kenya Demographic Health Surveys Case Study, 2008 to 2009 and 2014
Author(s): Leidman E, Mwirigi LM, Maina-Gathigi L, Wamae A, Imbwaga AA, and Bilukha OO
Journal: Food and Nutrition Bulletin (SEP 2018) , 39(3):406-419; DOI: 10.1177/0379572118783181
Topic(s): Nutrition , Survey Methodology, Data Quality, Analysis
Country(s): Kenya
Interviewer effects on patterns of nonresponse: Evaluating the impact on the reasons for contraceptive nonuse in the Indonesia and the Philippines DHS
Author(s): Mark Amos
Journal: Demographic Research (SEP 2018) , 39(14): 415–430; DOI: 10.4054/DemRes.2018.39.14
Topic(s): Family Planning , Survey Methodology, Data Quality, Analysis
Country(s): Philippines, Indonesia
Web: https://www.demographic-research.org/volumes/vol39/14/39-14.
Sampling Weights for Analyses of Couple Data: Example of the Demographic and Health Surveys
Author(s): Stan Becker, and Amanda Kalamar
Journal: Demography (JUL 2018) , 55(4): 1447–1473; DOI: 10.1007/s13524-018-0688-1
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Multiple Regions
Perspectives and implications of the Improving Coverage Measurement Core Group’s validation studies for household surveys
Author(s): Fred Arnold, and Shane M Khan
Journal: Journal of Global Health (JUN 2018) , DOI: 10.7189/jogh.08.010606
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Multiple Regions
Web: http://www.jogh.org/documents/issue201801/jogh-08-010606.pdf
Neonatal, Infant and Under-Five Mortality: an Application of Cox Proportional Hazard Model to Bdhs Data
Author(s): Shahnaz Nilima, Rebeka Sultana, and Shahjadi Ireen
Journal: Journal of the Asiatic Society of Bangladesh, Science (JUN 2018) , Vol. 44 No. 1; DOI: https://doi.org/10.3329/jasbs.v44i1.46541
Topic(s): Child Health and Development , Infant and Child Mortality , Survey Methodology, Data Quality, Analysis
Country(s): Bangladesh
Web: https://banglajol.info/index.php/JASBS/article/view/46541
Missingness of Height Data from the Demographic and Health Surveys in Africa between 1991 and 2016 Was Not Random but Is Unlikely to Have Major Implications for Biases in Estimating Stunting Prevalence or the Determinants of Child Height
Author(s): Amelia B Finaret, and Matthew Hutchinson
Journal: Journal of Nutrition (MAY 2018) , 148(5): 781–789; DOI: https://doi.org/10.1093/jn/nxy037
Topic(s): Child Health and Development , Nutrition , Survey Methodology, Data Quality, Analysis
Country(s): Multiple African Countries
Results (51 - 75) of 161 Page(s): Previous  1 2 3 4 5 6 7 Next