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A cross-country study on the impact of governmental responses to the COVID-19 p...
Mesquita, A; Costa, R; Bina, R; Cadarso-Suárez, C; Gude, F; Díaz-Louzao, C; Dikmen-Yildiz, P; Osorio, A; Mateus, V; Domínguez-Salas, S; Vousoura, EThis study aimed to analyse the role of governmental responses to the coronavirus disease 2019 (COVID-19) outbreak, measured by the Containment and Health Index (CHI), on symptoms of anxiety and depression during pregnancy and postpartum, while considering the countries' Inequality-adjusted Human Development Index (IHDI) and individual factors such as age, gravidity, and exposure to COVID-19. A cross-sectional ...
Impact of the Covid-19 pandemic on perinatal mental health (Riseup-PPD-COVID-19...
Motrico, E; Bina, R; Domínguez-Salas, S; Mateus, V; Contreras-García, Y; Carrasco-Portiño, M; Ajaz, E; Apter, G; Christoforou, A; Dikmen-Yildiz, PBackground: Corona 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-se...
Two-stage model for multivariate longitudinal and survival data with applicatio...
Guler, I; Faes, C; Cadarso-Suárez, C; Teixeira, L; Rodrigues, A; Mendonça, DIn many follow‐up studies different types of outcomes are collected including longitudinal measurements and time‐to‐event outcomes. Commonly, it is of interest to study the association between them. Joint modeling approaches of a single longitudinal outcome and survival process have recently gained increasing attention from both frequentist and Bayesian perspective. However, in many studies several longitudinal...
Time-dependent ROC methodology to evaluate the predictive accuracy of semiparam...
Teixeira, L; Cadarso-Suárez, C; Rodrigues, A; Mendonça, DThe evaluation of peritoneal dialysis (PD) programmes requires the use of statistical methods that suit the complexity of such programmes. Multi-state regression models taking competing risks into account are a good example of suitable approaches. In this work, multi-state structured additive regression (STAR) models combined with penalized splines (P-splines) are proposed to evaluate peritoneal dialysis progra...