Zobrazeno 1 - 10
of 234
pro vyhledávání: '"Stephen P. Jenkins"'
Autor:
Natalia Malachowa, Daniel E. Sturdevant, Adeline R. Porter, Grant Martin, Craig Martens, Vinod Nair, Bryan Hansen, Stacy Ricklefs, Stephen G. Jenkins, Liang Chen, Barry N. Kreiswirth, Frank R. DeLeo
Publikováno v:
Microbiology Spectrum, Vol 12, Iss 8 (2024)
ABSTRACT Staphylococcus aureus is a leading cause of healthcare-associated infections globally. Vancomycin-resistant S. aureus (VRSA), those with high-level resistance [minimum inhibitory concentration (MIC) of 16–32 µg/mL vancomycin], are uncommo
Externí odkaz:
https://doaj.org/article/8cbaf093e0154a78bdd7d09c1332d7ee
Autor:
Stephane Carcillo, Herwig Immervoll, Stephen P. Jenkins, Sebastian Konigs, Konstantinos Tatsiramos
Social protection systems are intended to support households in financial difficulties, a role that has been underlined during the recent Great Recession in many countries around the world. This volume presents new results on the dynamics of social a
The so-called Great Recession that followed the global financial crisis at the end of 2007 was the largest economic downturn since the 1930s for most rich countries. To what extent were household incomes affected by this event, and how did the effect
Publikováno v:
The Stata Journal: Promoting communications on statistics and Stata. 23:53-85
Researchers use finite mixture models to analyze linked survey and administrative data on labor earnings, while also accounting for various types of measurement error in each data source. Different combinations of error-ridden and error-free observat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5154d59174c74b5752440ebe9a61a910
https://doi.org/10.1177/1536867x231161976
https://doi.org/10.1177/1536867x231161976
Autor:
Nicholas J. Cox, Stephen P. Jenkins
Publikováno v:
The Stata Journal: Promoting communications on statistics and Stata. 22:727-733
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36a2d2497e6e0f5c43bbca6056db24cc
https://doi.org/10.1177/1536867x221140932
https://doi.org/10.1177/1536867x221140932
Publikováno v:
Journal of Happiness Studies. 24:309-330
We argue that the relationship between individual satisfaction with life (SWL) and SWL inequality is more complex than described by earlier research. Our measures of SWL inequality include indices designed specifically for ordinal data as well as oft
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2814c33041a53fd116b0da94c4f8ee29
https://doi.org/10.1007/s10902-022-00591-6
https://doi.org/10.1007/s10902-022-00591-6
Autor:
Nicholas J. Cox, Stephen P. Jenkins
Publikováno v:
The Stata Journal: Promoting communications on statistics and Stata. 23:1-2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3036f4825895a8b352356adbfee3954
https://doi.org/10.1177/1536867x231160122
https://doi.org/10.1177/1536867x231160122
Publikováno v:
Review of Income and Wealth. 69:1-33
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::121c03aa62b3ae496781e422c9e4dbf8
https://doi.org/10.1111/roiw.12548
https://doi.org/10.1111/roiw.12548
Autor:
Nicolas Hérault, Stephen P. Jenkins
Publikováno v:
Journal of Income Distribution®.
We apply the Kakwani approach to decomposing redistributive effect intoaverage rate, progressivity, and reranking components, using yearly datafrom the United Kingdom covering the period of 1977-2018. We examinecash and in-kind benefits, and direct a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2ce88d5e6def3b769dda7f01e633044
https://doi.org/10.25071/1874-6322.40542
https://doi.org/10.25071/1874-6322.40542
esearchers use finite mixture models (FMMs) to analyze linked survey and administrative data on labor earnings taking account of various types of measurement error in each data source. Different combinations of error-ridden and/or error-free observat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b167ac8de9ec9957712db182e3d2aded
http://eprints.lse.ac.uk/117214/
http://eprints.lse.ac.uk/117214/