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Results (101 - 125) of 184
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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
,
Kyrgyz Republic
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
Nonparametric Estimation of Time-Variant Parametric Models with Application to Cross-Sectional Data
Author(s):
Mohammed Chowdhury
Journal:
Journal of the Japan Statistical Society (JJSS)
(DEC 2017) , 47(2): 197-220; DOI: 10.14490/jjss.47.197
Topic(s):
Survey Methodology, Data Quality, Analysis
Country(s):
Multiple Regions
Web:
https://www.jstage.jst.go.jp/article/jjss/47/2/47_197/_pdf/-
Spatial Distribution of Malnutrition among Children Under Five in Nigeria: A Bayesian Quantile Regression Approach
Author(s):
Ezra Gayawan, Samson B. Adebayo, Akinola A. Komolafe, and Abayomi A. Akomolafe
Journal:
Applied Spatial Analysis and Policy
(OCT 2017) , Volume 12
Topic(s):
Anthropometry/Biomarkers
,
Child Health and Development
,
Geographic Information
,
Nutrition
,
Survey Methodology, Data Quality, Analysis
Country(s):
Nigeria
Web:
https://link.springer.com/article/10.1007/s12061-017-9240-8
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
Enhancing health system’s governance through demographic and health surveys in transitional European countries: The example of Albania
Author(s):
Herion Muja, Genc Burazeri, Peter Schröder-Bäck, and Helmut Brand
Journal:
South Eastern European Journal of Public Health
(AUG 2017) , VIII; DOI: 10.4119/seejph-1854
Topic(s):
Survey Methodology, Data Quality, Analysis
Country(s):
Albania
Web:
https://www.seejph.com/index.php/seejph/article/view/1854/pd
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
Noncommunicable Disease Risk Factor Reporting in National Family Health Survey-4: A Critical Appraisal
Author(s):
Mahendra M Reddy, and Srikanta Kanungo
Journal:
Journal of Family Medicine & Primary Care
(JUN 2016) , 5(2): 512-513; DOI: 10.4103/2249-4863.192316
Topic(s):
Survey Methodology, Data Quality, Analysis
Country(s):
India
Web:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5084603/
A review of national health surveys in India
Author(s):
Rakhi Dandona, Anamika Pandey, and Lalit Dandona
Journal:
Bulletin of the World Health Organization
(FEB 2016) , 94(4): 286–296A; doi: 10.2471/BLT.15.158493
Topic(s):
Survey Methodology, Data Quality, Analysis
Country(s):
India
Web:
http://www.who.int/bulletin/volumes/94/4/15-158493/en/
Comparing two survey methods of measuring health-relatedindicators: Lot Quality Assurance Sampling and DemographicHealth Surveys
Author(s):
Sarah C. Anoke, Paul Mwai, Caroline Jeffery, Joseph J. Valadez, and Marcello Pagano
Journal:
Tropical Medicine and International Health
(DEC 2015) , 20(12): 1756–1770; DOI: 10.1111/tmi.12605
Topic(s):
Survey Methodology, Data Quality, Analysis
Country(s):
Uganda
Web:
https://www.onlinelibrary.wiley.com/doi/pdf/10.1111/tmi.1260
How Reliable Are Reports of Early Adolescent Reproductive and Sexual Health Events in Demographic and Health Surveys?
Author(s):
Sarah E. Neal, and Victoria Hosegood
Journal:
International Perspectives on Sexual and Reproductive Health (formerly: International Family Planning Perspectives)
(DEC 2015) , 41(4):210-7. doi: 10.1363/4121015.
Topic(s):
Maternal Health
,
Survey Methodology, Data Quality, Analysis
,
Youth
Country(s):
Multiple African Countries
,
Multiple L.A./Caribbean Countries
Web:
http://www.guttmacher.org/pubs/journals/4121015.html
Modelling fertility: An application of count regression models
Author(s):
R. Pandey, and C. Kaur
Journal:
Chinese Journal of Population Resources and Environment
(NOV 2015) , 13(4):349-357; DOI: ?http://dx.doi.org/10.1080/10042857.2015.1111573
Topic(s):
Fertility and Fertility Preferences
,
Survey Methodology, Data Quality, Analysis
Country(s):
India
Results (101 - 125) of 184
Page(s):
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