4 documents found, page 1 of 1
Impact of the Covid-19 pandemic on perinatal mental health (Riseup-PPD-COVID-19...
Motrico, Emma; Bina, Rena; Domínguez-Salas, Sara; Mateus, Vera; Contreras-García, Yolanda; Carrasco-Portiño, Mercedes; Ajaz, Erilda; Apter, GiseleCorona Virus Disease 19 (COVID-19) is a new pandemic, declared a public health emergency by the World Health Organization, which could have negative consequences for pregnant and postpartum women. The scarce evidence published to date suggests that perinatal mental health has deteriorated since the COVID-19 outbreak. However, the few studies published so far have some limitations, such as a cross-sectional desi...
smoothHR: an R package for pointwise nonparametric estimation of hazard ratio c...
Machado, Luís Meira; Cadarso-Suárez, Carmen; Gude, Francisco; Araújo, Artur AgostinhoThe Cox proportional hazards regression model has become the traditional choice for modeling survival data in medical studies. Usually, this model is assumed to be (semi)parametric, and the effects of continuous predictors on log-hazards are modeled linearly. In practice, however, the effect of a given continuous predictor can be unknown. To introduce flexibility into the Cox model, several smoothing methods ma...
Bandwidth selection for the estimation of transition probabilities in the locat...
Machado, Luís Meira; Roca Pardiñas, Javier; Van Keilegom, Ingrid; Cadarso-Suárez, CarmenTimes between consecutive events are often of interest in medical studies. Usually the events represent different states of the disease process and are modeled using multi-state models. This paper introduces and studies a feasible estimation method for the transition probabilities in a progressive three-state model. We assume that the vector of gap times (T1, T2) satisfies a nonparametric location-scale regress...
Alternatives to the Cox model in multi-state models
Machado, Luís Meira; Cadarso-Suárez, Carmen; Uña Álvarez, Jacobo deThe introduction of time-dependent covariates in the survival process can make the patients survival change from one time point to the next as the values of the covariate change. A popular choice for the analysis of this data is the timedependent Cox regression model. In the present work we present multi-state models as an alternative for the analysis of such data.