Erwin Nagelkerke
Biographic Data
| ID | 6052654 |
|---|---|
| NAME | Erwin Nagelkerke |
| GIVEN NAMES | Erwin |
| FAMILY NAME | Nagelkerke |
| SIGNATURE | NAGELKERKE E |
| AFFILIATIONS | Tilburg University, Tilburg, The Netherlands |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
PCR standard curve quantification in an extensive wastewater surveillance program
Since the start of the COVID-19 pandemic in 2020, wastewater surveillance programs were established, or upscaled, in many countries around the world and have proven to be a cost-effective way of monitoring infectious disease pathogens. Many of these programs use RT-qPCR, and quantify the viral concentrations in samples based on standard curves, by including preparations of a reference material with known nucleic acid or virus concentrations in th…
Goodness-of-fit of Multilevel Latent Class Models for Categorical Data
In the context of multilevel latent class models, the goodness-of-fit depends on multiple aspects, among which are two local independence assumptions. However, because of the lack of local fit statistics, the model and any issues relating to model fit can only be inspected jointly through global fit statistics. This hinders the search for model improvements, as it cannot be determined where misfit originates and which of the many model adjustment…
No prominent works on this page.
Goodness-of-fit of Multilevel Latent Class Models for Categorical Data
In the context of multilevel latent class models, the goodness-of-fit depends on multiple aspects, among which are two local independence assumptions. However, because of the lack of local fit statistics, the model and any issues relating to model fit can only be inspected jointly through global fit statistics. This hinders the search for model improvements, as it cannot be determined where misfit originates and which of the many model adjustment…
PCR standard curve quantification in an extensive wastewater surveillance program
Since the start of the COVID-19 pandemic in 2020, wastewater surveillance programs were established, or upscaled, in many countries around the world and have proven to be a cost-effective way of monitoring infectious disease pathogens. Many of these programs use RT-qPCR, and quantify the viral concentrations in samples based on standard curves, by including preparations of a reference material with known nucleic acid or virus concentrations in th…
Computer Science (2 works) · Mathematics (2 works) · Statistics (2 works) · Algorithm (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Bayesian Modeling and Causal Inference (1 work) · Biosensors and Analytical Detection (1 work) · Categorical variable (1 work) · Class (philosophy (1 work)