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for large-scale spatio-temporal decisions/pnpstrongAbstract: /strongEmerging infectious diseases are a cause of humanitarian and economic crises around the world. ... Title: Reinforcement learning for large-scale spatio-temporal decisions Abstract:

Economics and Business/pnpstrongAbstract:/strong We consider a flexible Bayesian evidence synthesis approach to model the age-specific transmission dynamics of COVID-19 based on daily age-stratified mortality counts. ... of diffusion-driven multi-type

cam.ac.uk/event/bsu-seminar-how-to-obtain-valid-tests-and-confidence-intervals-for-treatment-effects-after-confounder-selection/","rest_url":"https://www.mrc-bsu.cam.ac.uk/wp-json/ ... valid-tests-and-confidence-intervals-for-treatment-effects-after-confo

Jewell from the London School of Hygiene & Tropical Medicine, speaking on:/pnh2 data-key="35"“Biostatistics in Infectious Disease Research: Test-negative designs from Influenza, Dengue and Ebola to COVID-19 ... Recent interest has focused on uses of

Value of Information measures”/pnp /pnpstrongAbstract: /strongRecently, there has been much research devoted to developing computationally efficient methods for various measures of the Value of Information in health economics, including the

identification algorithms based on pooled tests via group testing. ... description":"<p>Speaker: Batuhan Arasli, University of Maryland Title: "Group Testing in Structured and Dynamic Networks" Abstract: We study efficient infection identification

For instance, in medical diagnosis, a clinician may order a series of tests and, based on their outcomes, order further tests to determine the disease state of a patient.

together with the development of models that allow joint analyses of all GWAS test statistics, have led to big advances in understanding the genomic architecture of complex traits.u00a0 Analysis of ... on GWAS test statistics.u00a0 We have also derived