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| Coelho,Antonio Victor Campos; Coelho,Hemílio Fernandes Campos; Arraes,Luiz Cláudio; Crovella,Sergio. |
| Abstract HIV-1 mother-to-child transmission (HIV-1 MTCT), is an important cause of children mortality worldwide. Brazil has been traditionally praised by its HIV/Aids program, which provides free-of-charge care for people living with HIV-1. Using public epidemiology and demographic databases, we aimed at modeling HIV-1 MTCT prevalence in Brazil through the years (1994-2016) and elaborate a statistical model for forecasting, contributing to HIV-1 epidemiologic surveillance and healthcare decision-making. We downloaded sets of live births and mothers' data alongside HIV-1 cases notification in children one year old or less. Through time series modeling, we estimated prevalence along the years in Brazil, and observed a remarkable decrease of HIV-1 MTCT... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: HIV-1; Vertical transmission; Perinatal transmission; Biostatistics; Epidemiology; Forecasting. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1413-86702019000400218 |
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| Sanhueza,Antonio; Otzen,Tamara; Manterola,Carlos; Araneda,Nelson. |
| In experimental studies the outcome variable is measured at initial time, usually called "baseline", and then in several times called "follow-up" measurement(s). The study question of interest in an experimental study is whether there is a significant difference effect between treatment and comparison group, after intervention. In addition, one wants to estimate the difference effect between groups. This paper studies some of the strategies, including a simulation process, that one can be used for analyzing data coming from an experimental study as above, and considers using or not using the baseline measurements. Three parametric and two non-parametric strategies are evaluated considering only one follow-up measurement. The baseline measurement is... |
| Tipo: Journal article |
Palavras-chave: Experimental Studies; Follow-Up Studies; Biostatistics; Statistics; Nonparametric. |
| Ano: 2014 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-95022014000100054 |
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