Analysis of recurrent event data with environmental covariates.
Study objectives. The objectives of this study were twofold. First, we used simulation to investigate three statistical methodologies for analyzing recurrent event data in the presence of environmental covariates to determine which procedure performs well under what situation.
openaire +2 more sources
Improving genomic prediction in wheat with random regression models with genotype-specific phenology-driven environmental covariates. [PDF]
Dhakal R +9 more
europepmc +1 more source
Microclimate prediction for sandy photovoltaic power plants using a spatio-temporal graph convolutional network with environmental covariates. [PDF]
Li J +7 more
europepmc +1 more source
Identifying the demographic pathways linking environmental covariates to population dynamics in an avian migrant. [PDF]
Martin EC +4 more
europepmc +1 more source
Influence of Environmental Covariates on Pollinator Community Occupancy, Detection, and Richness Across Urban Gardens in Richmond, Virginia, USA. [PDF]
Ruppel NJ +6 more
europepmc +1 more source
Selecting Tolerant Maize Hybrids Using Factor Analytic Models and Environmental Covariates as Drought Stress Indicators. [PDF]
Stepinac D +11 more
europepmc +1 more source
MegaLMM improves genomic predictions in new environments using environmental covariates. [PDF]
Hu H, Rincent R, Runcie DE.
europepmc +1 more source
Effects of temperature and environmental covariates on the dynamic transmission of hand, foot, and mouth disease in Zhejiang, China. [PDF]
Wen W +8 more
europepmc +1 more source
A hierarchy of environmental covariates control the global biogeography of soil bacterial richness. [PDF]
Bickel S, Chen X, Papritz A, Or D.
europepmc +1 more source
Enhancing prediction accuracy of key biomass partitioning traits in wheat using multi-kernel genomic prediction models integrating secondary traits and environmental covariates. [PDF]
Kunwar S +8 more
europepmc +1 more source

