Kernel‐Based Bootstrap Synthetic Data to Estimate Measurement Uncertainty in Analytical Sciences
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Chemometrics"
DOI: 10.1002/cem.3628
Abstract: Measurement uncertainty (MU) is becoming a key figure of merit for analytical methods, and estimating MU from method validation data is cost‐effective and practical. Since MU can be defined as a coverage interval of a… read more here.
Keywords: kernel based; synthetic data; uncertainty; validation data ... See more keywords
Validation of data from electronic data warehouse in diabetic ketoacidosis: Caution is needed.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of diabetes and its complications"
DOI: 10.1016/j.jdiacomp.2018.05.004
Abstract: AIMS This study validated enterprise data warehouse (EDW) data for a cohort of hospitalized patients with a primary diagnosis of diabetic ketoacidosis (DKA). METHODS 247 patients with 319 admissions for DKA (ICD-9 code 250.12, 250.13,… read more here.
Keywords: edw data; validation; data warehouse; validation data ... See more keywords
Global Validation of the Data‐Assimilative VERB‐3D Code for the Radiation Belts
Sign Up to like & getrecommendations! Published in 2025 at "Space Weather"
DOI: 10.1029/2025sw004615
Abstract: Electrons within Earth's radiation belts exhibit large variability in space and time during geomagnetic storms, which could potentially damage satellites and harm astronauts in space. Physics‐based models describe the evolution of energetic electrons in the… read more here.
Keywords: space; radiation; radiation belts; data assimilative ... See more keywords
Combining Multiple Observational Data Sources to Estimate Causal Effects
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2019.1609973
Abstract: Abstract The era of big data has witnessed an increasing availability of multiple data sources for statistical analyses. We consider estimation of causal effects combining big main data with unmeasured confounders and smaller validation data… read more here.
Keywords: data sources; big main; effects combining; causal effects ... See more keywords
Sampling Validation Data to Achieve a Planned Precision of the Bias-Adjusted Estimate of Effect.
Sign Up to like & getrecommendations! Published in 2022 at "American journal of epidemiology"
DOI: 10.1093/aje/kwac025
Abstract: Data collected from a validation substudy permit calculation of a bias-adjusted estimate of effect that is expected to equal the estimate that would have been observed had the gold standard measurement been available for the… read more here.
Keywords: precision; estimate; bias adjusted; adjusted estimate ... See more keywords
No Transfer Without Validation: A Data Sharing Framework Use Case.
Sign Up to like & getrecommendations! Published in 2023 at "Studies in health technology and informatics"
DOI: 10.3233/shti230066
Abstract: Availability and accessibility are important preconditions for using real-world patient data across organizations. To facilitate and enable the analysis of data collected at a large number of independent healthcare providers, syntactic- and semantic uniformity need… read more here.
Keywords: data sharing; validation data; transfer without; without validation ... See more keywords