Open Journal of Statistics

Open Journal of Statistics

ISSN Print: 2161-718X
ISSN Online: 2161-7198
www.scirp.org/journal/ojs
E-mail: ojs@scirp.org
"Logistic Regression Modelling for Complex Survey Data with an Application for Bed Net Use in Mozambique"
written by Sheyla Rodrigues Cassy, Isabel Natário, M. Rosário Martins,
published by Open Journal of Statistics, Vol.6 No.5, 2016
has been cited by the following article(s):
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[13] Application of Logistic Regression Modeling for Complex Survey Data on Education Continuity of Poor Households Children
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[15] 한방의료이용 선택 요인에 관한 연구-2017 한방의료이용실태조사를 중심으로
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[17] Household ICT utilization and food security nexus in Nigeria
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[18] A modelling approach to the analysis of complex survey data
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[19] Research Article Household ICT Utilization and Food Security Nexus in Nigeria
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[20] Influencing factors of using Korean Medicine services–focusing on the 2017 Korean Medicine Utilization Survey
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[21] Testing linear hypotheses in logistic regression analysis with complex sample survey data based on phi-divergence measures
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[22] How to construct a nomogram for hypertension using complex sampling data from Korean adults
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[23] The effect of improved water and sanitation on diarrhea: Evidence from pooled Ethiopia Demographic and Health Surveys –A multilevel mixed-effects analysis
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[24] Weighted Logistic Regression Modelling of Prevalence and Associated Risk Factors of Malaria in Nigeria
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[25] COVID-19 vaccine hesitancy in ASEAN: insights from a multi-wave survey database from July 2020 to March 2021
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[26] On selection of an appropriate logistic model to determine the risk factors of childhood stunting in B angladesh
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[27] Estimating risk factors for HIV infection among women in Mozambique using population-based survey data
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[28] 2.8. 5 Modeling prevalence under complex survey designs
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