Suchergebnisse - "Padellini, Tullia"

PubPharm (14)

1

Joint quantile disease mapping with application to malaria and G6PD deficiency

enthalten in: Royal Society open science | 2024

von Alahmadi, H. | van Niekerk, J. | Padellini, T. | +1

2

Interoperability of statistical models in pandemic preparedness : principles and reality

enthalten in: Statistical science : a review journal of the Institute of Mathematical Statistics | 2022

von Nicholson, G. | Blangiardo, M. | Briers, M. | +12

3

Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England : A population-based ecological study

enthalten in: The Lancet regional health. Europe | 2022

von Padellini, T. | Jersakova, R. | Diggle, P. | +7

UpdateOf: medRxiv. 2021 Nov 09;:. - PMID 34790983

4

Improving local prevalence estimates of SARS-CoV-2 infections using a causal debiasing framework

enthalten in: Nature microbiology | 2022

von Nicholson, G. | Lehmann, B. | Padellini, T. | +9

5

A Bayesian hierarchical small-area population model accounting for data source specific methodologies from American Community Survey, Population Estimates Program, and Decennial Census data

enthalten in: arXiv.org | 2021

von Peterson, E. | Nethery, R. | Padellini, T. | +6

6

Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England: a space-time study

enthalten in: bioRxiv.org | 2021

von Padellini, T. | Jersakova, R. | Diggle, P. | +7

7

Time varying association between deprivation, ethnicity and SARS-CoV-2 infections in England : a space-time study

enthalten in: medRxiv : the preprint server for health sciences | 2021

von Padellini, T. | Jersakova, R. | Diggle, P. | +7

UpdateIn: Lancet Reg Health Eur. 2022 Feb 13;:100322. - PMID 35187517

8

Interoperability of statistical models in pandemic preparedness: principles and reality

enthalten in: arXiv.org | 2021

von Nicholson, G. | Blangiardo, M. | Briers, M. | +12

9

Local prevalence of transmissible SARS-CoV-2 infection: an integrative causal model for debiasing fine-scale targeted testing data

enthalten in: bioRxiv.org | 2021

von Nicholson, G. | Lehmann, B. | Padellini, T. | +9

10

Response to "Re : Long-term exposure to air-pollution and COVID-19 mortality in England: A hierarchical spatial analysis"

enthalten in: Environment international | 2021

von Konstantinoudis, G. | Padellini, T. | Bennett, J. | +3

CommentOn: Environ Int. 2021 May;150:106422. - PMID 33561670