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In longitudinal studies, measurements of the same individuals are taken repeatedly through time. Often, the primary goal is to characterize the change in response over time and the factors that influence change. Factors can affect not only the location but also more generally the shape of the distribution of the response over time. To make inference about(More)
The ubiquitous food contaminant cadmium has features of an estrogen mimetic that may promote the development of estrogen-dependent malignancies, such as breast cancer. However, no prospective studies of cadmium exposure and breast cancer risk have been reported. We examined the association between dietary cadmium exposure (at baseline, 1987) and the risk of(More)
Dependent data arise in many studies. For example, children with the same parents or living in neighboring geographic areas tend to be more alike in many characteristics than individuals chosen at random from the population at large; observations taken repeatedly on the same individual are likely to be more similar than observations from different(More)
We consider a regression model where the error term is assumed to follow a type of asymmetric Laplace distribution. We explore its use in the estimation of conditional quantiles of a continuous outcome variable given a set of covariates in the presence of random censoring. Censoring may depend on covariates. Estimation of the regression coefficients is(More)
In this prospective cohort study, based on 1,505 mother-infant pairs in rural Bangladesh, we evaluated the associations between early-life exposure to arsenic, cadmium, and lead, assessed via concentrations in maternal and child urine, and children's weights and heights up to age 5 years, during the period 2001-2009. Concurrent and prenatal exposures were(More)
  • Yuan Liu, Matteo Bottai
  • 2009
We propose a regression method for the estimation of conditional quantiles of a continuous response variable given a set of covariates when the data are dependent. Along with fixed regression coefficients, we introduce random coefficients which we assume to follow a form of multivariate Laplace distribution. In a simulation study, the proposed quantile(More)
Data on familial recurrence rates of complex diseases such as multiple sclerosis give important hints to aetiological factors such as the importance of genes and environment. By linking national registries, we sought to avoid common limitations of clinic-based studies such as low numbers, poor representation of the population and selection bias. Through the(More)
BACKGROUND Cadmium is a commonly occurring toxic food contaminant, but health consequences of early-life exposure are poorly understood. OBJECTIVES We evaluated the associations between cadmium exposure and neurobehavioral development in preschool children. METHODS In our population-based mother-child cohort study in rural Bangladesh, we assessed(More)
BACKGROUND Cadmium (Cd) is an embryotoxic and teratogenic metal in a variety of animal species, but data from humans are limited. OBJECTIVES The aim of the present study was to assess the effects of maternal Cd exposure in pregnancy on size at birth. METHODS This prospective cohort study was nested in a population-based nutritional supplementation trial(More)
The aim of this study was to assess profiles of physical activity (PA) behavior using accelerometers among middle-aged and elderly women in free-living conditions. A subset of 133 women aged 56-75 years from the population-based Swedish Mammography Cohort with valid accelerometer data was included in the analysis. The proportion of women who met the PA(More)