survHE: Survival Analysis for Health Economic Evaluation and Cost-Effectiveness Modeling
Journal of Statistical Software, 2020 Survival analysis features heavily as an important part of health economic evaluation, an increasingly important component of medical research. In this setting, it is important to estimate the mean time to the survival endpoint using limited information (
Gianluca Baio
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Comparison of inference methods of genetic parameters with an application to body weight in broilers [PDF]
Archives Animal Breeding, 2015 REML (restricted maximum likelihood) has become the standard method of variance component estimation in animal breeding. Inference in Bayesian animal models is typically based upon Markov chain Monte Carlo (MCMC) methods, which are generally flexible but
G. Maniatis +4 more
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Estimating the Expected Value of Partial Perfect Information in Health Economic Evaluations using Integrated Nested Laplace Approximation [PDF]
, 2016 The Expected Value of Perfect Partial Information (EVPPI) is a decision-theoretic measure of the "cost" of parametric uncertainty in decision making used principally in health economic decision making.
Baio G +8 more
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A spliced Gamma-Generalized Pareto model for short-term extreme wind speed probabilistic forecasting [PDF]
, 2019 Renewable sources of energy such as wind power have become a sustainable alternative to fossil fuel-based energy. However, the uncertainty and fluctuation of the wind speed derived from its intermittent nature bring a great threat to the wind power ...
Castro-Camilo, Daniela +2 more
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A general theory for preferential sampling in environmental networks
, 2019 This paper presents a general model framework for detecting the preferential sampling of environmental monitors recording an environmental process across space and/or time.
Shaddick, Gavin +2 more
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Frontiers in Environmental Science, 2020 Due to the occurrence of more frequent and widespread toxic cyanobacteria events, the ability to predict freshwater cyanobacteria harmful algal blooms (cyanoHAB) is of critical importance for the management of drinking and recreational waters.
Mark H. Myer +3 more
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Bayesian spatial modelling of contraception effects on fertility in Mexican municipalities in 2020
Geospatial Health, 2022 The prevalence and use of contraceptive methods is an essential element to explain the behaviour of fertility and population growth. The objective of this study was to analyse the spatial correlation between the use of contraceptive methods in women of ...
Gerardo Núñez Medina
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A note on intrinsic Conditional Autoregressive models for disconnected graphs
, 2017 In this note we discuss (Gaussian) intrinsic conditional autoregressive (CAR) models for disconnected graphs, with the aim of providing practical guidelines for how these models should be defined, scaled and implemented. We show how these suggestions can
Freni-Sterrantino, Anna +2 more
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Computer model calibration with large non-stationary spatial outputs: application to the calibration of a climate model [PDF]
, 2018 Bayesian calibration of computer models tunes unknown input parameters by comparing outputs with observations. For model outputs that are distributed over space, this becomes computationally expensive because of the output size.
Alexander M. J. +6 more
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Journal of Health, Population and Nutrition, 2021 The global prevalence of overweight (including obesity) in children under 5 years of age was 7% in 2012, and it is expected to rise to 11% by the year 2025.
Owen Paweni Loss Mtambo +1 more
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