LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 790

Search options

  1. Book ; Article ; Online: Empirical Monte Carlo Evidence on Estimation of Timing-of-Events Models

    Lombardi, Stefano / van den Berg, Gerard J. / Vikström, Johan

    2021  

    Abstract: This paper builds on the Empirical Monte Carlo simulation approach developed by Huber et al. (2013 ...

    Abstract This paper builds on the Empirical Monte Carlo simulation approach developed by Huber et al. (2013) to study the estimation of Timing-of-Events (ToE) models. We exploit rich Swedish data of unemployed job-seekers with information on participation in a training program to simulate placebo treatment durations. We first use these simulations to examine which covariates are key confounders to be included in selection models. The joint inclusion of specific short-term employment history indicators (notably, the share of time spent in employment), together with baseline socio-economic characteristics, regional and inflow timing information, is important to deal with selection bias. Next, we omit subsets of explanatory variables and estimate ToE models with discrete distributions for the ensuing systematic unobserved heterogeneity. In many cases the ToE approach provides accurate effect estimates, especially if time-varying variation in the unemployment rate of the local labor market is taken into account. However, assuming too many or too few support points for unobserved heterogeneity may lead to large biases. Information criteria, in particular those penalizing parameter abundance, are useful to select the number of support points.
    Keywords ddc:330 ; C14 ; C15 ; C41 ; J64 ; duration analysis ; unemployment ; propensity score ; matching ; training ; employment
    Subject code 331
    Language English
    Publisher Bonn: Institute of Labor Economics (IZA)
    Publishing country de
    Document type Book ; Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  2. Article: Monte Carlo simulations to assess the uncertainty of locating and quantifying CO2 leakage flux from deep geological or anthropogenic sources

    Beaubien, Stan E. / Ciotoli, Giancarlo / Finoia, Maria Grazia / Lombardi, Salvatore / Bigi, Sabina

    Stochastic environmental research and risk assessment. 2022 Feb., v. 36, no. 2

    2022  

    Abstract: ... Carlo-based program (MC-Flux) that repeatedly subsamples a high-resolution synthetic or real dataset ...

    Abstract Accurately locating and quantifying carbon dioxide (CO₂) leakage to the atmosphere is important for diffuse degassing studies in volcanic / geothermal areas and for safety monitoring and/or carbon credit auditing of Carbon Capture and Storage (CCS) sites. This is typically conducted by measuring CO₂ flux at numerous points over a large area and applying statistics or geostatistical interpolation. Accuracy of the results will depend on many factors related to survey/data-processing choices and site characteristics, and thus uncertainties can be difficult to quantify. To address this issue, we have developed a Monte Carlo-based program (MC-Flux) that repeatedly subsamples a high-resolution synthetic or real dataset using a choice of different sampling strategies (one random and four grid types) at multiple user-defined sample densities. The program keeps track of the anomalies found and estimates total flux using two statistical and two geostatistical approaches from the literature. This paper describes the use of MC-Flux to assess the potential impact of various sampling and interpretation decisions on the accuracy of the final results. Simulations show that an offset grid sample distribution yields the best results, however relatively dense sampling is required to obtain a high probability of an accurate flux estimate. For the test dataset used, ordinary kriging interpolation produces a range of flux estimates that are centered on the true value while sequential Gaussian simulation tends to slightly overestimate values at intermediate sample spacings and is sensitive to input parameters. These results point to the need for developing new approaches that decrease uncertainty, such as integration with high-resolution co-kriging datasets that complement the more accurate point flux measurements.
    Keywords carbon dioxide ; carbon markets ; carbon sequestration ; data collection ; geostatistics ; kriging ; research ; risk assessment ; uncertainty
    Language English
    Dates of publication 2022-02
    Size p. 609-627.
    Publishing place Springer Berlin Heidelberg
    Document type Article
    ZDB-ID 1481263-0
    ISSN 1436-3259 ; 1435-151X ; 1436-3240 ; 0931-1955
    ISSN (online) 1436-3259 ; 1435-151X
    ISSN 1436-3240 ; 0931-1955
    DOI 10.1007/s00477-021-02123-9
    Database NAL-Catalogue (AGRICOLA)

    More links

    Kategorien

  3. Book ; Article ; Online: Empirical Monte Carlo evidence on estimation of Timing-of-Events models

    Lombardi, Stefano / Berg, van den Berg, Gerard J. / Vikström, Johan

    2020  

    Abstract: This paper builds on the Empirical Monte Carlo simulation approach developed by Huber et al. (2013 ...

    Abstract This paper builds on the Empirical Monte Carlo simulation approach developed by Huber et al. (2013) to study the estimation of Timing-of-Events (ToE) models. We exploit rich Swedish data of unemployed job-seekers with information on participation in a training program to simulate placebo treatment durations. We first use these simulations to examine which covariates are key confounders to be included inselection models. The joint inclusion of specific short-term employment history indicators (notably, the share of time spent in employment), together with baseline socio-economic characteristics, regional and inflow timing information,is important to deal with selection bias. Next, we omit subsets of explanatory variables and estimate ToE models with discrete distributions for the ensuing systematic unobserved heterogeneity. In many cases the ToE approach provides accurate effect estimates, especially if time-varying variation in the unemployment rate of the local labor market is taken into account. However, assuming too many or too few support points for unobserved heterogeneity may lead to large biases. Information criteria, in particular those penalizing parameter abundance, are useful to select the number of support points.
    Keywords ddc:330 ; C14 ; C15 ; C41 ; J64 ; duration analysis ; unemployment ; propensity score ; matching ; training ; employment
    Subject code 331
    Language English
    Publisher Uppsala: Institute for Evaluation of Labour Market and Education Policy (IFAU)
    Publishing country de
    Document type Book ; Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  4. Article: The Effect of Faking on the Correlation Between Two Ordinal Variables: Some Population and Monte Carlo Results.

    Bressan, Marco / Rosseel, Yves / Lombardi, Luigi

    Frontiers in psychology

    2018  Volume 9, Page(s) 1876

    Abstract: ... of fake data for correlational results. A population-level analysis and a Monte Carlo simulation are ...

    Abstract Correlational measures are probably the most spread statistical tools in psychological research. They are used by researchers to investigate, for example, relations between self-report measures usually collected using paper-pencil or online questionnaires. Like many other statistical analysis, also correlational measures can be seriously affected by specific sources of bias which constitute serious threats to the final observed results. In this contribution, we will focus on the impact of the fake data threat on the interpretation of statistical results for two well-know correlational measures (the Pearson product-moment correlation and the Spearman rank-order correlation). By using the Sample Generation by Replacement (SGR) approach, we analyze uncertainty in inferences based on possible fake data and evaluate the implications of fake data for correlational results. A population-level analysis and a Monte Carlo simulation are performed to study different modulations of faking on bivariate discrete variables with finite supports and varying sample sizes. We show that by using our paradigm it is always possible, under specific faking conditions, to increase (resp. decrease) the original correlation between two discrete variables in a predictable and systematic manner.
    Language English
    Publishing date 2018-10-12
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2018.01876
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article: A comparison of the Low Mode and Monte Carlo conformational search methods.

    Parish, Carol / Lombardi, Rosina / Sinclair, Kent / Smith, Emelyn / Goldberg, Alla / Rappleye, Melissa / Dure, Myrianne

    Journal of molecular graphics & modelling

    2002  Volume 21, Issue 2, Page(s) 129–150

    Abstract: The Low Mode (LM) and Monte Carlo (MC) conformational search methods were compared on three diverse ... Mode and Monte Carlo is most efficient at searching the space of the larger molecular system. ...

    Abstract The Low Mode (LM) and Monte Carlo (MC) conformational search methods were compared on three diverse molecular systems; (4R, 5S, 6S, 7R)-hexahydro-5,6-dihydroxy-1,3,4,7-tetrakis(phenylmethyl)-2H-1,3-diazapin-2-one (1), 2-methoxy-2-phenyl-2-triflouromethyl-N-alpha-methyl benzyl propanamide (2) and a trimeric 39-membered polyazamacrolide (3). We find that either method, or a combination of the methods, is equally efficient at searching the conformational space of the smaller molecular systems while a 50:50 hybrid of Low Mode and Monte Carlo is most efficient at searching the space of the larger molecular system.
    MeSH term(s) Algorithms ; Amides/chemistry ; Fluorobenzenes/chemistry ; Heterocyclic Compounds, 1-Ring/chemistry ; Hydrogen Bonding ; Macrolides/chemistry ; Models, Molecular ; Molecular Conformation ; Molecular Structure ; Monte Carlo Method ; Software ; Urea/chemistry
    Chemical Substances 2-methoxy-2-phenyl-2-trifluoromethyl-N-alpha-methyl benzyl propanamide ; Amides ; Fluorobenzenes ; Heterocyclic Compounds, 1-Ring ; Macrolides ; hexahydro-5,6-dihydroxy-1,3,4,7-tetrakis(phenylmethyl)-2H-1,3-diazapin-2-one ; Urea (8W8T17847W)
    Language English
    Publishing date 2002-10-23
    Publishing country United States
    Document type Comparative Study ; Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1396450-1
    ISSN 1873-4243 ; 1093-3263
    ISSN (online) 1873-4243
    ISSN 1093-3263
    DOI 10.1016/s1093-3263(02)00144-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article: Editorial: Cardiometabolic disease and psychiatric disorders.

    Deste, Giacomo / Lombardi, Carlo Mario

    Frontiers in psychiatry

    2023  Volume 14, Page(s) 1174055

    Language English
    Publishing date 2023-03-31
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2564218-2
    ISSN 1664-0640
    ISSN 1664-0640
    DOI 10.3389/fpsyt.2023.1174055
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article: Recent Advances across the Spectrum of Heart Failure and Heart Transplant.

    Masarone, Daniele / Lombardi, Carlo / Falco, Luigi / Coscioni, Enrico / Metra, Marco

    Journal of clinical medicine

    2024  Volume 13, Issue 5

    Abstract: In recent years, remarkable progress has been accomplished in the heart failure (HF) landscape, with novel drugs and groundbreaking device approaches [ ... ]. ...

    Abstract In recent years, remarkable progress has been accomplished in the heart failure (HF) landscape, with novel drugs and groundbreaking device approaches [...].
    Language English
    Publishing date 2024-03-01
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2662592-1
    ISSN 2077-0383
    ISSN 2077-0383
    DOI 10.3390/jcm13051427
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article ; Online: COVID-19, Eosinophils, and Biologicals for Severe Asthma.

    Lombardi, Carlo / Bagnasco, Diego / Passalacqua, Giovanni

    Frontiers in allergy

    2022  Volume 3, Page(s) 859376

    Language English
    Publishing date 2022-04-28
    Publishing country Switzerland
    Document type Journal Article
    ISSN 2673-6101
    ISSN (online) 2673-6101
    DOI 10.3389/falgy.2022.859376
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Book ; Online: MRI of the Heart and Vessels

    Lombardi, Massimo / Bartolozzi, Carlo

    2005  

    Author's details by Massimo Lombardi, Carlo Bartolozzi
    Keywords Cardiology ; Radiology, Medical
    Language English
    Publisher Springer-Verlag Italia
    Publishing place Milano
    Document type Book ; Online
    HBZ-ID TT050387897
    ISBN 978-88-470-0306-4 ; 978-88-470-0359-0 ; 88-470-0306-7 ; 88-470-0359-8
    DOI 10.1007/b139059
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

    Kategorien

  10. Article ; Online: The emerging roles of eosinophils: Implications for the targeted treatment of eosinophilic-associated inflammatory conditions.

    Lombardi, Carlo / Berti, Alvise / Cottini, Marcello

    Current research in immunology

    2022  Volume 3, Page(s) 42–53

    Abstract: Eosinophils have multiple relevant biological functions, including the maintenance of homeostasis, host defense against infectious agents, innate immunity activities, immune regulation through Th1/Th2 balance, anti-inflammatory, and anti-tumorigenic ... ...

    Abstract Eosinophils have multiple relevant biological functions, including the maintenance of homeostasis, host defense against infectious agents, innate immunity activities, immune regulation through Th1/Th2 balance, anti-inflammatory, and anti-tumorigenic effects. Eosinophils also have a main role in tissue damage through eosinophil-derived cytotoxic mediators that are involved in eosinophilic inflammation, as documented in Th2-high asthma and other eosinophilic-associated inflammatory conditions. Recent evidence shows that these multiple and apparently conflicting functions may be attributed to the existence of different eosinophil subtypes (i.e.: tissue resident and inducible eosinophils). Therapeutic intervention with biological agents that totally deplete tissues and circulating eosinophils or,
    Language English
    Publishing date 2022-03-21
    Publishing country Netherlands
    Document type Journal Article ; Review
    ISSN 2590-2555
    ISSN (online) 2590-2555
    DOI 10.1016/j.crimmu.2022.03.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top