Adebayo, Samson B. and Fahrmeir, Ludwig and Seiler, Christian (2009): Geoadditive latent variable modelling of count data on multiple sexual partnering in Nigeria. Forthcoming in: Biometrics
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The 2005 National HIV/AIDS and Reproductive Health Survey in Nigeria provides evidence that multiple sexual partnering increases the risk of contracting HIV and other sexually transmitted diseases. Therefore, partner reduction is one of the prevention strategies to accomplish the Millenium development goal of halting and reversing the spread of HIV/AIDS. In order to explore possible association between sexual partnering and some risk factors, this paper utilizes a novel Bayesian geoadditive latent variable model for count outcomes. This allows us to simultaneously analyze linear and nonlinear effects of covariates as well as spatial variations of one or more latent variables, such as attitude towards multiple partnering, which in turn directly influences the multivariate observable outcomes or indicators. Influence of demographic factors such as age, gender, locality, state of residence, educational attainment, etc., and knowledge about HIV/AIDS on attitude towards multiple partnering is also investigated. Results can provide insights to policy makers with the aim of reducing the spread of HIV and AIDS among the Nigerian populace through partner reduction.
|Item Type:||MPRA Paper|
|Original Title:||Geoadditive latent variable modelling of count data on multiple sexual partnering in Nigeria|
|Keywords:||factor loading; geographical variations; latent variable model; MCMC; Nigeria; semiparametric Poisson model|
|Subjects:||C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C14 - Semiparametric and Nonparametric Methods: General
I - Health, Education, and Welfare > I1 - Health
|Depositing User:||Christian Seiler|
|Date Deposited:||14 Jan 2011 14:58|
|Last Modified:||29 May 2016 03:38|
Adetunji, J. and Meekers, D. (2001). Consistency in Condom Use in the Context of HIV/AIDS in Zimbabwe. Journal of Biosocial Science 33, 121-138.
Brezger, A. and Lang, S. (2006). Generalized Structured Additive Regression based on Bayesian P-splines. Computational Statistics and Data Analysis 50, 967-991.
Eilers, P.H.C. and Marx, D.B. (1996). Flexible Smoothing with B-Splines and Penalties. Statistical Science 11(2), 89-121.
Fahrmeir, L. and Raach, A.W. (2007). A Bayesian Semiparametric Latent Variable Model for Mixed Responses. Psychometrica 72(3), 327-346.
Fahrmeir, L. and Steinert, S. (2006). A geoadditive Bayesian latent variable model for Poisson indicators. Sonderforschungsbereich 386, Discussion Paper 508, Ludwig Maximilian University of Munich, Germany.
Federal Ministry of Health [Nigeria] (2003). National HIV/AIDS & Reproductive Health Survey (NARHS), 2003. Federal Ministry of Health, Abuja, Nigeria.
Federal Ministry of Health [Nigeria] (2006a): The 2005 National HIV/Syphilis Seroprevalence Sentinel Survey among Pregnant Women Attending Antenatal Clinics in Nigeria. Federal Ministry of Health, Abuja, Nigeria.
Federal Ministry of Health [Nigeria] (2006b). National HIV/AIDS & Reproductive Health Survey (NARHS), 2005. Federal Ministry of Health, Abuja, Nigeria.
Federal Ministry of Health [Nigeria] (2008a). HIV/STI Integrated Biological and Behavioural Surveillance Survey (IBBSS). Federal Ministry of Health, Abuja, Nigeria.
Federal Ministry of Health [Nigeria] (2008b). National HIV/AIDS & Reproductive Health Survey (NARHS), 2005. Federal Ministry of Health, Abuja, Nigeria.
Flood, M. (2003). Lust, Trust and Latex: Why Young Heterosexual Men DO not Use Condoms. Culture Health Sexuality 5, 353-369.
Fruehwirth-Schnatter, S. and Wagner, H. (2006). Auxiliary Mixture Sampling for parameter-driven Models of time Series of Counts with Application to State Space Modelling. Biometrika 93(4), 827-841.
Hearst, N. and Chen, S. (2004). Condom Promotion for AIDS Prevention in the Developing World: Is it working? Studies in Family Planning 35, 39-47.
Lang, S. and Brezger, A. (2004). Bayesian P-splines. Journal of Computational and Graphical Statistics 13, 183-212.
Lopes, H.F. and West, M. (2004). Bayesian model assessment in factor analysis. Statistica Sinica 14, 41–67.
Meekers, D., Klein, M., and Foyet, L. (2003). Patterns of HIV Risk Behaviour and Condom Use among Youth in Yaounde and Douala, Cameroon. AIDS Behaviour 7, 413-420.
Morris, M. (2002). A Comparative Study of Concurrent Sexual Partnerships in the United States, Thailand and Uganda. American Sociology Association Annual Meeting Published Abstracts, Anaheim California, Aug 18-21: Session 409.
Quinn, K.M. (2004). Bayesian factor analysis for mixed ordinal and continuous responses. Political Analysis 12, 338–353.
Raach, A.W. (2005). A Bayesian Semiparametric Latent Variable Model for Binary, Ordinal and Continuous Response. Dissertation.
Rue, H. and Held, L. (2005). Gaussian Markov Random Fields: Theory and Applications. Chapman and Hall.
Sammel, M.D., Ryan, L.M., & Legler, J.M. (1997). Latent variable models for mixed discrete and continuous outcomes. Journal of the Royal Statistical Society Series B, 59, 667–678.
Santelli, J.S., Brener, N.D., Lowry, R., Bhatt, A., and Zabin, L.S. (1998). Multiple Sexual Partners among U.S. Adolescents and Young Adults. Family Planning Perspectives 30(6), 271-275.