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Results (101 - 125) of 167 Page(s): Previous  1 2 3 4 5 6 7 Next
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
Dynamics of non-cohabiting sex partnering in sub-Saharan Africa: a modelling study with implications for HIV transmission
Author(s): Omori R., Chemaitelly H., and Abu-Raddad L.J.
Journal: Sexually Transmitted Infections (SEP 2015) , 91(6):451-7. doi: 10.1136/sextrans-2014-051925.
Topic(s): Family Planning , HIV/AIDS , Maternal Health , Survey Methodology, Data Quality, Analysis
Country(s): Multiple African Countries
Web: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4552955/
30 anos de DHS: o que andamos pesquisando sobre fecundidade no Brasil (30 years of DHS: what we have been researching about fecundity in Brazil)
Author(s): Raquel Zanatta Coutinho, Juliana Vasconcelos de Souza Barros, and Angelita Carvalho
Journal: Revista Brasileira de Estudos de População (AUG 2015) , 32(2):395-407; DOI: 10.1590/S0102-30982015000000023 ·
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Brazil
Comparison of Methods of Handling Missing Data: A Case Study of KDHS 2010 Data
Author(s): Shelmith Nyagathiri Kariuki, Anthony Waititu Gichuhi, and Anthony Kibira Wanjoya
Journal: American Journal of Theoretical and Applied Statistics (MAY 2015) , 4(3): 192-200; doi: 10.11648/j.ajtas.20150403.26
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Kenya
Adaptive Utility-based Anonymization Model: Performance Evaluation on Big Data Sets
Author(s): Jisha Jose Panackal, and Anitha S. Pillai
Journal: Procedia Computer Science (APR 2015) , 50: 347-352; DOI: 10.1016/j.procs.2015.04.037
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): India
Web: https://www.sciencedirect.com/science/article/pii/S187705091
Neglected Value of Small Population-based Surveys: A Comparison with Demographic and Health Survey Data
Author(s): Anne C. Langston, Debra M. Prosnitz, and Eric G. Sarriot
Journal: Journal of Health, Population, and Nutrition (MAR 2015) , 33(1): 123–136.
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Rwanda
Web: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4438656/
The Political Economy of Bad Data: Evidence from African Survey and Administrative Statistics
Author(s): Justin Sandefur, and Amanda Glassman
Journal: Journal of Development Studies (MAR 2015) , 51(2):116-32; DOI: 10.1080/00220388.2014.968138
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Multiple African Countries
Web: http://www.cgdev.org/sites/default/files/political-economy-b
Correcting Estimates of HIV Prevalence Due to Survey Non-Participation in India Using Heckman Selection Model
Author(s): Shrikant Singh, Swati Srivastava, and Ashish Kumar Upadhyay
Journal: Demography India (JAN 2015) , 44(1&2): 17-30
Topic(s): HIV/AIDS , Survey Methodology, Data Quality, Analysis
Country(s): India
Web: http://demographyindia.in/article_document/2/3322117-30.pdf
Measuring routine childhood vaccination coverage in 204 countries and territories, 1980–2019: a systematic analysis for the Global Burden of Disease Study 2020, Release 1
Author(s): Natalie C. Galles, Patrick Y. Liu, Rachel L. Updike, Nancy Fullman, Jason Nguyen, Sam Rolfe, Alyssa N. Sbarra, Megan F. Schipp, Ashley Marks, et al.
Journal: Lancet (JUL 2014) , GBD 2020, Release 1; DOI:https://doi.org/10.1016/S0140-6736(21)00984-3
Topic(s): Child Health and Development , Survey Methodology, Data Quality, Analysis
Country(s): Multiple Regions
Web: https://www.thelancet.com/journals/lancet/article/PIIS0140-6
Refusal Bias in the Estimation of HIV Prevalence
Author(s): Janssens W, van der Gaag J, Rinke de Wit TF, and Tanovic Z.
Journal: Demography (JUN 2014) , 51(3). DOI: 10.1007/s13524-014-0290-0
Topic(s): HIV/AIDS , Survey Methodology, Data Quality, Analysis
Country(s): Namibia
Loading, merging and analysing demographic and health surveys using R
Author(s): Vanderelst D, and Speybroeck N
Journal: International Journal of Public Health (APR 2014) , 59(2):415-22. doi: 10.1007/s00038-013-0538-2.
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Multiple Regions
Current and Predicted Fertility using Poisson Regression Model: Evidence from 2008 Nigerian Demographic Health Survey
Author(s): Fagbamigbe AF, Adebowale AS.
Journal: African Journal of Reproductive Health (MAR 2014) , 18(1):71-83.
Topic(s): Fertility and Fertility Preferences , Survey Methodology, Data Quality, Analysis
Country(s): Nigeria
Modelling the impact of women’s education on fertility in Malawi
Author(s): Luca Zanin, Rosalba Radice, Giampiero Marrajpeg
Journal: Journal of Population Economics (FEB 2014) , DOI:http://dx.doi.org/10.1007/s00148-013-0502-8
Topic(s): Education , Fertility and Fertility Preferences , Survey Methodology, Data Quality, Analysis
Country(s): Malawi
Successful use of tablet personal computers and wireless technologies for the 2011 Nepal Demographic and Health Survey
Author(s): Deepak Paudel, Marie Ahmed, Anjushree Pradhan, Rajendra Lal Dangol
Journal: Global Health: Science and Practice (AUG 2013) , vol. 1 no. 2 p. 277-284, doi: 10.9745/GHSP-D-12-00056
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Nepal
Web: http://www.ghspjournal.org/content/1/2/277.full.pdf+html
Frailty modeling for clustered survival data: an application to birth interval in Bangladesh
Author(s): Sharif Mahmood, Begum Zainab, and A.H.M. Mahbub Latif
Journal: Journal of Applied Statistics (AUG 2013) , 40(12):2670-2680; DOI:10.1080/02664763.2013.825702
Topic(s): Fertility and Fertility Preferences , Survey Methodology, Data Quality, Analysis
Country(s): Bangladesh
An evaluation of the recent fertility changes in Afghanistan: A parity-specific analysis
Author(s): Spoorenberg, Thomas
Journal: Journal of Population Research (JUN 2013) , 30(2): 133-149. doi:10.1007/s12546-013-9107-z.
Topic(s): Fertility and Fertility Preferences , Gender , Survey Methodology, Data Quality, Analysis
Country(s): Afghanistan
Web: http://link.springer.com/article/10.1007%2Fs12546-013-9107-z
A Stata module for computing fertility rates and TFRs from birth histories: tfr2
Author(s): Bruno Schoumaker
Journal: Demographic Research (MAY 2013) , VOLUME 28, ARTICLE 38, PAGES 1093-1144
Topic(s): Survey Methodology, Data Quality, Analysis
Country(s): Multiple Regions
Web: http://www.demographic-research.org/volumes/vol28/38/28-38.p
Extra-couple HIV transmission in sub-Saharan Africa: A mathematical modelling study of survey data
Author(s): Steve E Bellan, Kathryn J Fiorella, Dessalegn Y Melesse, Wayne M Getz, Brian G Williams, Jonathan Dushoff
Journal: Lancet (FEB 2013) , Volume 381, Issue 9877, Pages 1561 - 1569, doi:10.1016/S0140-6736(12)61960-6
Topic(s): HIV/AIDS , Survey Methodology, Data Quality, Analysis
Country(s): Multiple African Countries
Web: http://ttea.info/images/Lancet%202013%20Bellan.pdf?issue=inf
Results (101 - 125) of 167 Page(s): Previous  1 2 3 4 5 6 7 Next