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Results (1 - 25) of 85 Page(s): 1 2 3 4 Next
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
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
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
New spatial data on ethnicity: Introducing SIDE
Author(s): Carl Müller-Crepon, and Philipp Hunziker
Journal: Journal of Peace Research (APR 2018) , First Published Online April 27, 2018; DOI: https://doi.org/10.1177/0022343318764254
Topic(s): Geographic Information , Other , Survey Methodology, Data Quality, Analysis
Country(s): Multiple Regions
Web: https://icr.ethz.ch/publications/spatial-data-on-ethnicity/S
Absolute income is a better predictor of coverage by skilled birth attendance than relative wealth quintiles in a multicountry analysis: comparison of 100 low- and middle-income countries
Author(s): Gary Joseph, Inácio C. M. da Silva, Günther Fink, Aluisio J. D. Barros, and Cesar G. Victora
Journal: BMC Pregnancy and Childbirth (APR 2018) , 18:104; DOI: https://doi.org/10.1186/s12884-018-1734-0
Topic(s): Maternal Health , Survey Methodology, Data Quality, Analysis , Wealth/Socioeconomics
Country(s): Multiple Regions
Web: https://bmcpregnancychildbirth.biomedcentral.com/articles/10
Challenges of DHS and MIS to capture the entire pattern of malaria parasite risk and intervention effects in countries with different ecological zones: the case of Cameroon
Author(s): Salomon G. Massoda Tonye, Celestin Kouambeng, Romain Wounang, and Penelope Vounatsou
Journal: Malaria Journal (APR 2018) , 17(1):156; DOI: 10.1186/s12936-018-2284-7
Topic(s): Malaria , Survey Methodology, Data Quality, Analysis
Country(s): Cameroon
Web: https://malariajournal.biomedcentral.com/articles/10.1186/s1
Role of survey response rates on valid inference: an application to HIV prevalence estimates
Author(s): Miguel Marino, and Marcello Pagano
Journal: Emerging Themes in Epidemiology (MAR 2018) , 15:6; DOI: 10.1186/s12982-018-0074-x
Topic(s): HIV/AIDS , Survey Methodology, Data Quality, Analysis
Country(s): Multiple Regions
Web: https://ete-online.biomedcentral.com/articles/10.1186/s12982
The DHS Program's Modeled Surfaces Spatial Datasets
Author(s): Clara R. Burgert-Brucker, Trinadh Dontamsetti, and Peter W. Gething
Journal: Studies in Family Planning (FEB 2018) , 49(1): 87-92; DOI: https://doi.org/10.1111/sifp.12050
Topic(s): Geographic Information , Survey Methodology, Data Quality, Analysis
Country(s): Multiple Regions
Web: https://onlinelibrary.wiley.com/doi/full/10.1111/sifp.12050
Estimation of Standard Error of Demographic and Health Parameters for NFHS-4
Author(s): A. K. Tiwari, and Shivam Mishra
Journal: Demography India (JAN 2018) , 47(1): 71-78
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): India
Web: http://demographyindia.in/article_document/66/452497.pdf
Effect of Sample Size on Estimation of Fertility using Open Birth Interval Data
Author(s): Ruchi Mishra, K. K. Singh, Brijesh P. Singh, and Sweta Singh
Journal: Demography India (JAN 2018) , 47(1): 79-88
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): India
Web: http://demographyindia.in/article_document/67/963788.pdf
Measuring postnatal care contacts for mothers and newborns: An analysis of data from the MICS and DHS surveys
Author(s): Agbessi Amouzou, Vrinda Mehra, Liliana Carvajal–Aguirre, Shane M. Khan, Deborah Sitrin, and Lara Vaz
Journal: Journal of Global Health (DEC 2017) , 7(2): 020502; DOI: 10.7189/jogh.07.020502
Topic(s): Maternal Health , Survey Methodology, Data Quality, Analysis
Country(s): Ghana, Bangladesh, Nepal, Kyrgyzstan
Web: http://jogh.org/documents/issue201702/jogh-07-020502.pdf
Trends in Demographic and Health Survey data quality: an analysis of age heaping over time in 34 countries in Sub Saharan Africa between 1987 and 2015
Author(s): Mark Lyons-Amos, and Tara Stones
Journal: BMC Research Notes (DEC 2017) , 10:760; DOI: https://doi.org/10.1186/s13104-017-3091-x
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Multiple African Countries
Web: https://bmcresnotes.biomedcentral.com/articles/10.1186/s1310
Determinants of Childhood Mortality in South Africa: Using Categorical Data Modeling
Author(s): Kwabena A. Kyei
Journal: Journal of Human Ecology (OCT 2017) , 37(1): 47-56; DOI: https://doi.org/10.1080/09709274.2012.11906448
Topic(s): Child Health and Development , Infant and Child Mortality , Survey Methodology, Data Quality, Analysis
Country(s): South Africa
Aplikasi Regresi Cox Pada Selang Kelahiran Anak Pertama di Provinsi Sumatera Selatan
Author(s): Alfansi Faruk
Journal: Jurnal Matematika (JUN 2017) , 7(1):19-29; DOI: 10.24843/JMAT.2017.v07.i01.p79
Topic(s): Fertility and Fertility Preferences , Survey Methodology, Data Quality, Analysis
Country(s): Indonesia
Web: https://ojs.unud.ac.id/index.php/jmat/article/view/30834/189
Child anthropometry data quality from Demographic and Health Surveys, Multiple Indicator Cluster Surveys, and National Nutrition Surveys in the West Central Africa region: are we comparing apples and oranges?
Author(s): Daniel J. Corsi, Jessica M. Perkins, and S. V. Subramanian
Journal: Global Health Action (JUN 2017) , 10(1):1328185. doi: 10.1080/16549716.2017.1328185.
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Multiple African Countries
Web: http://www.tandfonline.com/doi/full/10.1080/16549716.2017.13
The contribution of demographic and health survey data to population and health policymaking: evidence from three developing countries
Author(s): Laura B Nolan, Rachel Lucas, Yoonjoung Choi, Madeleine Short Fabic, and Jacob A Adetunji
Journal: African Population Studies (MAY 2017) , 31(1):3395; DOI: http://dx.doi.org/10.11564/31-1-998
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Malawi, Rwanda, India
Web: http://aps.journals.ac.za/pub/article/view/998/747
Modelling and Forecasting Spatio-temporal Variation in the Risk of Chronic Malnutrition among Under-Five Children in Ghana
Author(s): Justice Moses K. Aheto, Benjamin M. Taylor, Peter J. Diggle, and Thomas J. Keegan
Journal: Spatial and Spatio-temporal Epidemiology (MAR 2017) , 21(37–46); http://dx.doi.org/10.1016/j.sste.2017.02.003
Topic(s): Child Health and Development , Nutrition , Survey Methodology, Data Quality, Analysis
Country(s): Ghana
Identifying intraclass correlations necessitating hierarchical modeling
Author(s): Kyle M. Irimata, and Jeffrey R. Wilson
Journal: Journal of Applied Statistics (FEB 2017) , Pages 1-16, published online: 10 Feb 2017; DOI: 10.1080/02664763.2017.1288203
Topic(s): HIV/AIDS , Survey Methodology, Data Quality, Analysis
Country(s): Bangladesh
Does adjusting for recall in trend analysis affect coverage estimates for maternal and child health indicators? An analysis of DHS and MICS survey data
Author(s): Nobubelo K Ngandu, Samuel O M Manda. Donela Besada, Sarah Rohde, Nicholas P. Oliphant, and Tanya Doherty
Journal: Global Health Action (NOV 2016) , 9; doi: 10.3402/gha.v9.32408
Topic(s): Child Health and Development , Maternal Health , Survey Methodology, Data Quality, Analysis
Country(s): Multiple African Countries
Web: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5102105/
Logistic Regression Modelling for Complex Survey Data with an Application for Bed Net Use in Mozambique
Author(s): Sheyla Rodrigues Cassy, Isabel Natário, M. Rosário Martins
Journal: Open Journal of Statistics (OCT 2016) , 6(5): 898-907; DOI: 10.4236/ojs.2016.65074
Topic(s): Malaria , Survey Methodology, Data Quality, Analysis
Country(s): Mozambique
Web: http://file.scirp.org/pdf/OJS_2016102415592095.pdf
NFHS-4: An Introduction
Author(s): F. Ram
Journal: Demography India (AUG 2016) , 43(1&2): 1-8
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): India
Results (1 - 25) of 85 Page(s): 1 2 3 4 Next