0000000000322599

AUTHOR

P. Li Donni

showing 2 related works from this author

Efficacy and safety of γδT cell-based tumor immunotherapy: a meta-analysis.

2014

Vγ9Vδ2 T cells are important effector cells that may play a role in the anti-tumor immune response. Their capability to exert MHC-nonrestricted lytic activity against different tumor cells in vitro and their detection among tumor infiltrating lymphocytes in a variety of human cancers have supported the development of Vγ9Vδ2 T cell-based immunotherapy in the context of novel treatment against cancer. Accordingly, promising reports from recent clinical trials support the use of V γ9Vδ2 T cells as immunotherapeutic agents, either via adoptive transfer of ex-vivo expanded V γ9Vδ2 T cells or in vivo activation of V γ9Vδ2 T cells with compounds such as phosphoantigens or aminobisphosphonates. In …

Settore MED/04 - Patologia GeneraleVγ9Vδ2 T cells; anti-tumoral response;meta-analysis.anti-tumoral responseVγ9Vδ2 T cellmeta-analysis.
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Patterns of poverty among elderly Americans: a Latent Class Markov Model

2017

ABSTRACTThis article studies poverty persistence and the role of social security programmes on poverty among elderly in the US. We use a Latent Markov model to disentangle unobserved heterogeneity and state dependence. Because of its dynamic nature, unobserved heterogeneity is modelled to vary over time. This allows to capture different latent states of poverty that change over time. Result indicates the existence of three unobserved types evolving over time according to their propensity to be poor. Moreover, a strong persistence in poverty especially for women, individuals living alone and ethnic minorities is found. Finally, the estimates indicate that giving social assistance tends to re…

Persistence (psychology)Change over timeEconomics and EconometricsClass (computer programming)Poverty05 social sciencesEthnic groupMarkov model01 natural sciences050906 social workSocial securityPoverty persistence older Americans latent Markov model social security programmes010104 statistics & probabilitySettore SECS-P/03 - Scienza Delle FinanzeDevelopment economicsEconomicsState dependenceDemographic economics0509 other social sciences0101 mathematics
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