The impact of model assumptions in scalar-on-image regression.
Sign Up to like & getrecommendations! Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7915
Abstract: Complex statistical models such as scalar-on-image regression often require strong assumptions to overcome the issue of nonidentifiability. While in theory, it is well understood that model assumptions can strongly influence the results, this seems to… read more here.
Keywords: image regression; model assumptions; scalar image;
Finite tidal effects in GW170817: Observational evidence or model assumptions?
Sign Up to like & getrecommendations! Published in 2019 at "Physical Review D"
DOI: 10.1103/physrevd.100.103023
Abstract: After the detection of gravitational waves caused by the coalescence of compact objects in the mass range of neutron stars, GW170817, several studies have searched for an imprint of tidal effects in the signal, employing… read more here.
Keywords: finite tidal; model assumptions; observational evidence; tidal effects ... See more keywords
Model Assumptions and Data Characteristics: Impacts on Domain Adaptation in Building Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3175387
Abstract: Studies on domain adaptation (DA) for remote sensing (RS) imagery analysis lack consistency in selection and description of evaluation scenarios. Without properly characterizing datasets, model assumptions, and evaluation scenarios, it is difficult to objectively compare… read more here.
Keywords: domain adaptation; segmentation; model; evaluation scenarios ... See more keywords
Integrated population models: Model assumptions and inference
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DOI: 10.1111/2041-210x.13195
Abstract: Integrated population models (IPMs) have become increasingly popular for the modelling of populations, as investigators seek to combine survey and demographic data to understand processes governing population dynamics. These models are particularly useful for identifying… read more here.
Keywords: inference; population models; population; model assumptions ... See more keywords
How Sensitive is Sensitivity Analysis?: Evaluation of Pharmacoeconomic Submissions in Korea
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Pharmacology"
DOI: 10.3389/fphar.2022.884769
Abstract: Purpose: We aimed to describe the types of uncertainties examined in the economic evaluations submitted for reimbursement in Korea and their impact on the incremental cost-effectiveness ratio (ICER). Method: Fifty dossiers were submitted by pharmaceutical… read more here.
Keywords: sensitivity; sensitivity analysis; sensitive sensitivity; analysis ... See more keywords