7 research outputs found
Network inference - with confidence - from multivariate time series
Networks - collections of interacting elements or nodes - abound in the
natural and manmade worlds. For many networks, complex spatiotemporal dynamics
stem from patterns of physical interactions unknown to us. To infer these
interactions, it is common to include edges between those nodes whose time
series exhibit sufficient functional connectivity, typically defined as a
measure of coupling exceeding a pre-determined threshold. However, when
uncertainty exists in the original network measurements, uncertainty in the
inferred network is likely, and hence a statistical propagation-of-error is
needed. In this manuscript, we describe a principled and systematic procedure
for the inference of functional connectivity networks from multivariate time
series data. Our procedure yields as output both the inferred network and a
quantification of uncertainty of the most fundamental interest: uncertainty in
the number of edges. To illustrate this approach, we apply our procedure to
simulated data and electrocorticogram data recorded from a human subject during
an epileptic seizure. We demonstrate that the procedure is accurate and robust
in both the determination of edges and the reporting of uncertainty associated
with that determination.Comment: 12 pages, 7 figures (low resolution), submitte
The effectiveness of proactive telephone support provided to breastfeeding mothers of preterm infants: Study protocol for a randomized controlled trial
Background: Although breast milk has numerous benefits for infants' development, with greater effects in those born preterm (at < 37 gestational weeks), mothers of preterm infants have shorter breastfeeding duration than mothers of term infants. One of the explanations proposed is the difficulties in the transition from a Neonatal Intensive Care Unit (NICU) to the home environment. A person-centred proactive telephone support intervention after discharge from NICU is expected to promote mothers' sense of trust in their own capacity and thereby facilitate breastfeeding. Methods/design: A multicentre randomized controlled trial has been designed to evaluate the effectiveness and cost-effectiveness of person-centred proactive telephone support on breastfeeding outcomes for mothers of preterm infants. Participating mothers will be randomized to either an intervention group or control group. In the intervention group person-centred proactive telephone support will be provided, in which the support team phones the mother daily for up to 14 days after hospital discharge. In the control group, mothers are offered a person-centred reactive support where mothers can phone the breastfeeding support team up to day 14 after hospital discharge. The intervention group will also be offered the same reactive telephone support as the control group. A stratified block randomization will be used; group allocation will be by high or low socioeconomic status and by NICU. Recruitment will be performed continuously until 1116 mothers (I: 558 C: 558) have been included. Primary outcome: proportion of mothers exclusively breastfeeding at eight weeks after discharge. Secondary outcomes: proportion of breastfeeding (exclusive, partial, none and method of feeding), mothers satisfaction with breastfeeding, attachment, stress and quality of life in mothers/partners at eight weeks after hospital discharge and at six months postnatal age. Data will be collected by researchers blind to group allocation for the primary outcome. A qualitative evaluation of experiences of receiving/providing the intervention will also be undertaken with mothers and staff. Discussion: This paper presents the rationale, study design and protocol for a RCT providing person-centred proactive telephone support to mothers of preterm infants. Furthermore, with a health economic evaluation, the cost-effectiveness of the intervention will be assessed