Deep Neural Network With a Smooth Monotonic Output Layer for Dynamic Risk Prediction
ABSTRACT Risk prediction is a key component of survival analysis across various fields, including medicine, public health, economics, engineering, and others. The fundamental concern of risk prediction lies in the joint distribution of risk factors and the time to event.
Zhiyang Zhou +12 more
wiley +1 more source
Frequency Band Analysis of Multiple Stationary Time Series
ABSTRACT The frequency‐domain properties of biomedical signals offer valuable insights into health and functioning of underlying physiological systems. The power spectrum, which characterizes these properties, is often summarized by partitioning frequencies into standard bands and averaging power within bands.
Connor K. Brubaker +3 more
wiley +1 more source
Recommendations for reporting regression-based norms and the development of free-access tools to implement them in practice. [PDF]
Blagus R +4 more
europepmc +1 more source
Improved Centile Estimation by Transformation And/Or Adaptive Smoothing of the Explanatory Variable
ABSTRACT A popular approach to growth reference centile estimation is the LMS (Lambda‐Mu‐Sigma) method, which assumes a parametric distribution for response variable Y$$ Y $$ and fits the location, scale and shape parameters of the distribution of Y$$ Y $$ as smooth functions of explanatory variable X$$ X $$.
R. A. Rigby +2 more
wiley +1 more source
Flexible Distributed Lag Models for Count Data Using mgcv. [PDF]
Economou T +8 more
europepmc +1 more source
Comparison of cNORM and LMS methods for estimating reference percentile curves from biometric data. [PDF]
Laurenz R, Lenhard W.
europepmc +1 more source
ABSTRACT Objective To establish a comprehensive reference range for first‐trimester placental three‐dimensional (3D) single‐vessel fractional moving blood volume (svFMBV) using the OxNNet toolkit, based on values observed in healthy pregnancies.
S. Mathewlynn +11 more
wiley +1 more source
Local signal detection on irregular domains with generalized varying coefficient models. [PDF]
Zhang C, Xue L, Chen Y, Lian H, Qu A.
europepmc +1 more source
Drivers of Contrasting Changes in Streamflow in the Indus and Ganga River Basins
Abstract The Indus and Ganga are the two major transboundary rivers that are lifelines for millions of people and their food security in the Indian sub‐continent. However, the observed changes in streamflow in these basins and their drivers remain poorly understood.
Ritaja Roy, Vimal Mishra
wiley +1 more source
Spatiotemporal Heterogeneity Learning: Generalized SpatioTemporal Semi-Varying Coefficient Models With Structure Identification. [PDF]
Gu Z, Li X, Wang G, Wang L.
europepmc +1 more source

