931 resultados para Competing-risk analyses
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Diplomityön tavoitteena on selvittää yritysvastuun sisältöä ja merkitystä yritysten toiminnassa. Vastuullinen yritystoiminta sisältää taloudellisen, sosiaalisen ja ympäristön näkökulman. Ne ovat yksi edellytys yrityksen toiminnan jatkuvuudelle ja menestykselle. Työssä keskitytään erityisesti yritysvastuun ympäristönäkökulmaan, sillä ympäristöasiat ovat yhä enemmän esillä. Huoli ympäristön tilasta on lisääntynyt selvästi ja myös kuluttajat vaativat yrityksiltä vastuullista toimintaa. Lisäksi ympäristöön liittyvä lainsäädäntö kiristyy ja säädökset lisääntyvät. Kestävän kehityksen mukainen toiminta säästää luonnonvaroja ja vähentää ympäristön saastumista. Ympäristöasiat on huomioitava yrityksen kaikessa toiminnassa. Vihreässä taloudessa ympäristölle aiheutuu mahdollisimman vähän haittaa. Yrityksillä on merkittävä asema vihreän talouden kehittämisessä, sillä yritykset voivat vähentää toiminnasta aiheutuvia ympäristövaikutuksia, tuottaa ympäristöä säästäviä tuotteita sekä tarjota ratkaisuja ympäristövaikutusten pienentämiseen. Uuden teknologian kehittäminen on kestävän kehityksen kannalta oleellista ja siten voidaan myös saavuttaa kilpailuetua. Yritysten ympäristövastuullista toimintaa tukevat ympäristöpolitiikka ja –strategia, ympäristöjohtaminen, ympäristöjärjestelmät, ympäristöriskianalyysit, ympäristölaskenta sekä ympäristönmyötäinen tuotesuunnittelu. Nämä ovat työkaluja, jotka selventävät yritysten ympäristöön liittyviä tavoitteita ja päämääriä. Niitä voidaan hyödyntää päätöksenteon tukena ja ympäristöasioiden kehittämisessä. Ympäristökysymykset on myös tärkeää saada yhdistetyksi yritysten taloudelliseen ohjaukseen ja tuotesuunnitteluun. Työn perusteella voidaan todeta, että vastuullinen toiminta on merkittävä osa yritysten kilpailukykyä ja se on tärkeää yrityksen tulevaisuuden kannalta. Vastuullisuus on ehdottomasti yksi edellytys yritysten toiminnan jatkuvuudelle. Vastuullinen toiminta edistää yrityksen kilpailukykyä ja sen avulla voidaan saavuttaa myös uusia asiakkaita ja markkina-alueita. Ympäristöystävällisempien tuotteiden kehittäminen, jätteen määrän vähentäminen ja prosessien tehostaminen tuovat yrityksille kustannussäästöjä. Vastuullinen toiminta lisää yritysten innovatiivisuutta ja uusien liiketoimintamallien syntymistä. Kuluttajavalinnoissa painottuvat enemmän myös ympäristöön ja yhteiskuntaan liittyvät arvot, joten vastuullisuus voi lisätä kysyntää ja asiakkaiden määrää. Myös rahoittajat ja uudet työntekijät ovat kiinnostuneita vastuullisista yrityksistä. Vastuullinen yritys nähdään houkuttelevana ja luotettavana yhteistyökumppanina.
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Antimicrobial resistance is a growing public health concern and is associated with the over or inappropriate use of antimicrobials in both humans and agriculture. While there has been recognition of this problem on the part of agricultural and public health authorities, there has nonetheless been significant difficulty in translating policy recommendations into practical guidelines. In this paper, we examine the process of public health policy development in Quebec agriculture, with a focus on the case of pork production and the role of food animal veterinarians in policy making. We argue that a tendency to employ strictly techno-scientific risk analyses of antimicrobial use ignores the fundamental social, economic and political realities of key stakeholders and so limits the applicability of policy recommendations developed by government advisory groups. In particular, we suggest that veterinarians’ personal and professional interests, and their ethical norms of practice, are key factors to both the problem of and the solution to the current over-reliance on antimicrobials in food production.
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The service quality of any sector has two major aspects namely technical and functional. Technical quality can be attained by maintaining technical specification as decided by the organization. Functional quality refers to the manner which service is delivered to customer which can be assessed by the customer feed backs. A field survey was conducted based on the management tool SERVQUAL, by designing 28 constructs under 7 dimensions of service quality. Stratified sampling techniques were used to get 336 valid responses and the gap scores of expectations and perceptions are analyzed using statistical techniques to identify the weakest dimension. To assess the technical aspects of availability six months live outage data of base transceiver were collected. The statistical and exploratory techniques were used to model the network performance. The failure patterns have been modeled in competing risk models and probability distribution of service outage and restorations were parameterized. Since the availability of network is a function of the reliability and maintainability of the network elements, any service provider who wishes to keep up their service level agreements on availability should be aware of the variability of these elements and its effects on interactions. The availability variations were studied by designing a discrete time event simulation model with probabilistic input parameters. The probabilistic distribution parameters arrived from live data analysis was used to design experiments to define the availability domain of the network under consideration. The availability domain can be used as a reference for planning and implementing maintenance activities. A new metric is proposed which incorporates a consistency index along with key service parameters that can be used to compare the performance of different service providers. The developed tool can be used for reliability analysis of mobile communication systems and assumes greater significance in the wake of mobile portability facility. It is also possible to have a relative measure of the effectiveness of different service providers.
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Regulatory agencies such as Europol, Frontex, Eurojust, CEPOL as well as bodies such as OLAF, have over the past decade become increasingly active within the institutional architecture constituting the EU’s Area of Freedom, Security and Justice and are now placed at the forefront of implementing and developing the EU’s internal security model. A prominent feature of agency activity is the large-scale proliferation of ‘knowledge’ on security threats via the production of policy tools such as threat assessments, risk analyses, periodic and situation reports. These instruments now play a critical role in providing the evidence-base that supports EU policymaking, with agency-generated ‘knowledge’ feeding political priority setting and decision-making within the EU’s new Internal Security Strategy (ISS). This paper examines the nature and purpose of knowledge generated by EU Home Affairs agencies. It asks where does this knowledge originate? How does it measure against criteria of objectivity, scientific rigour, reliability and accuracy? And how is it processed in order to frame threats, justify actions and set priorities under the ISS?
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Farming systems research is a multi-disciplinary holistic approach to solve the problems of small farms. Small and marginal farmers are the core of the Indian rural economy Constituting 0.80 of the total farming community but possessing only 0.36 of the total operational land. The declining trend of per capita land availability poses a serious challenge to the sustainability and profitability of farming. Under such conditions, it is appropriate to integrate land-based enterprises such as dairy, fishery, poultry, duckery, apiary, field and horticultural cropping within the farm, with the objective of generating adequate income and employment for these small and marginal farmers Under a set of farm constraints and varying levels of resource availability and Opportunity. The integration of different farm enterprises can be achieved with the help of a linear programming model. For the current review, integrated farming systems models were developed, by Way Of illustration, for the marginal, small, medium and large farms of eastern India using linear programming. Risk analyses were carried out for different levels of income and enterprise combinations. The fishery enterprise was shown to be less risk-prone whereas the crop enterprise involved greater risk. In general, the degree of risk increased with the increasing level of income. With increase in farm income and risk level, the resource use efficiency increased. Medium and large farms proved to be more profitable than small and marginal farms with higher level of resource use efficiency and return per Indian rupee (Rs) invested. Among the different enterprises of integrated farming systems, a chain of interaction and resource flow was observed. In order to make fanning profitable and improve resource use efficiency at the farm level, the synergy among interacting components of farming systems should be exploited. In the process of technology generation, transfer and other developmental efforts at the farm level (contrary to the discipline and commodity-based approaches which have a tendency to be piecemeal and in isolation), it is desirable to place a whole-farm scenario before the farmers to enhance their farm income, thereby motivating them towards more efficient and sustainable fanning.
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In this work we study the survival cure rate model proposed by Yakovlev (1993) that are considered in a competing risk setting. Covariates are introduced for modeling the cure rate and we allow some covariates to have missing values. We consider only the cases by which the missing covariates are categorical and implement the EM algorithm via the method of weights for maximum likelihood estimation. We present a Monte Carlo simulation experiment to compare the properties of the estimators based on this method with those estimators under the complete case scenario. We also evaluate, in this experiment, the impact in the parameter estimates when we increase the proportion of immune and censored individuals among the not immune one. We demonstrate the proposed methodology with a real data set involving the time until the graduation for the undergraduate course of Statistics of the Universidade Federal do Rio Grande do Norte
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O surgimento de novas tecnologias e serviços vem impondo mudanças substanciais ao tradicional sistema de telecomunicações. Múltiplas possibilidades de evolução do sistema fazem da etapa de planejamento um procedimento não só desejável como necessário, principalmente num ambiente de competitividade. A utilização de metodologias abrangentes e flexíveis que possam auxiliar no processo de decisão, fundadas em modelos de otimização, parece um caminho inevitável. Este artigo propõe um modelo de programação linear inteiro misto para ajudar no planejamento estratégico de sistemas de telecomunicações, e em particular da rede de acesso. Os principais componentes de custo e receita são identificados e o modelo é desenvolvido para determinar a configuração da rede (serviços, tecnologias, etc) que maximize a receita esperada pelo operador do sistema. O conceito de números fuzzy é adotado para avaliar o risco técnico-econômico em situações de imprecisão nos dados de demanda. Resultados de experimentos computacionais são apresentados e discutidos.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Peritoneal dialysis (PD) should be considered a suitable method of renal replacement therapy in acute kidney injury (AKI) patients. This study is the largest cohort providing patient characteristics, clinical practice, patterns and their relationship to outcomes in a developing country. Its objective was to describe the main determinants of patient and technique survival, including trends over time of PD treatment in AKI patients. This was a Brazilian prospective cohort study in which all adult AKI patients on PD were studied from January/2004 to January/2014. For comparison purposes, patients were divided into 2 groups according to the year of treatment: 2004-2008 and 2009-2014. Patient survival and technique failure (TF) were analyzed using the competing risk model of Fine and Gray. A total of 301 patients were included, 51 were transferred to hemodialysis (16.9%) during the study period. The main cause of TF was mechanical complication (47%) followed by peritonitis (41.2%). There was change in TF during the study period: compared to 2004-2008, patients treated at 2009-2014 had relative risk (RR) reduction of 0.86 (95% CI 0.77-0.96) and three independent risk factors were identified: period of treatment at 2009 and 2014, sepsis and age>65 years. There were 180 deaths (59.8%) during the study. Death was the leading cause of dropout (77.9% of all cases) mainly by sepsis (58.3%), followed cardiovascular disease (36.1%). The overall patient survival was 41% at 30 days. Patient survival improved along study periods: compared to 2004-2008, patients treated at 2009-2014 had a RR reduction of 0.87 (95% CI 0.79-0.98). The independent risk factors for mortality were sepsis, age>70 years, ATN-ISS > 0.65 and positive fluid balance. As conclusion, we observed an improvement in patient survival and TF along the years even after correction for several confounders and using a competing risk approach.
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The Brazilian geo-environmental site characterizations usually do not provide a suitable Conceptual Site Model (CSM). Site assessments are mostly inappropriate and there is a lack of knowledge about the subsurface environment, generated by inconsistent data that will guide risk analyses and remediation projects full of uncertainties, causing delay on closing cases, inefficient remediation and higher global projects costs. The step of data collection must have high priority to develop a suitable CSM,, and it demands more effective high resolution site characterization (HRSC) tools than the traditional ones and, preferably, the decision-making have to be done in the field. This paper presents and discusses two geo-environmental site characterization results, in which the decision-making was done in the field based on high resolution site characterization (HRSC) used together with the traditional ones. These site investigations provided a significant time saving, allowed the detection of subsoil heterogeneities, a proper understanding of the subsurface environmental, and have generated a solid CSM in real-time. These CSM can subsidize remediation projects based on a more reliable data than those that would be obtained in traditional site investigations, concerned just in following the rules established by the environmental agencies.
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A method is presented for estimating age-specific mortality based on minimal information: a model life table and an estimate of longevity. This approach uses expected patterns of mammalian survivorship to define a general model of age-specific mortality rates. One such model life table is based on data for northern fur seals (Callorhinus ursinus) using Siler’s (1979) 5-parameter competing risk model. Alternative model life tables are based on historical data for human females and on a published model for Old World monkeys. Survival rates for a marine mammal species are then calculated by scaling these models by the longevity of that species. By using a realistic model (instead of assuming constant mortality), one can see more easily the real biological limits to population growth. The mortality estimation procedure is illustrated with examples of spotted dolphins (Stenella attenuata) and harbor porpoise (Phocoena phocoena).
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We analyzed the incidence, presenting features, risk factors of extramedullary (EM) relapse occurring in acute promyelocytic leukemia (APL) treated with all-trans retinoic acid (ATRA) and chemotherapy by using a competing-risk method. In total, 740/ 806 (92%) patients included in three multicenter trials (APL91, APL93 trials and PETHEMA 96) achieved CR, of whom 169 (23%) relapsed, including 10 EM relapses. Nine relapses involved the central nervous system (CNS) and one the skin, of which two were isolated EM relapse. In patients with EM disease, median WBC count was 26950/mm3 (7700-162000). The 3-year cumulative incidence of EM disease at first relapse was 5.0%. Univariate analysis identified age <45 years (P=0.05), bcr3 PML-RARalpha isoform (P= 0.0003) and high WBC counts (> or = 10,000/ mm3) (P<0.0001) as risk factors for EM relapse. In multivariate analysis, only high WBC count remained significant (P= 0.001). Patients with EM relapse had a poorer outcome since median survival from EM relapse was 6.7 months as compared to 26.3 months for isolated BM relapse (P=0.04). In conclusion, EM relapse in APL occurs more frequently in patients with increased WBC counts (> or = 10,000/mm3) and carries a poor prognosis. Whether CNS prophylaxis should be systematically performed in patients with WBC > or = 10,000/mm3 at diagnosis remains to be established.
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This paper proposes Poisson log-linear multilevel models to investigate population variability in sleep state transition rates. We specifically propose a Bayesian Poisson regression model that is more flexible, scalable to larger studies, and easily fit than other attempts in the literature. We further use hierarchical random effects to account for pairings of individuals and repeated measures within those individuals, as comparing diseased to non-diseased subjects while minimizing bias is of epidemiologic importance. We estimate essentially non-parametric piecewise constant hazards and smooth them, and allow for time varying covariates and segment of the night comparisons. The Bayesian Poisson regression is justified through a re-derivation of a classical algebraic likelihood equivalence of Poisson regression with a log(time) offset and survival regression assuming piecewise constant hazards. This relationship allows us to synthesize two methods currently used to analyze sleep transition phenomena: stratified multi-state proportional hazards models and log-linear models with GEE for transition counts. An example data set from the Sleep Heart Health Study is analyzed.
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Background. Although tenofovir (TDF) use has increased as part of first-line antiretroviral therapy (ART) across sub-Saharan Africa, renal outcomes among patients receiving TDF remain poorly understood. We assessed changes in renal function and mortality in patients starting TDF- or non-TDF-containing ART in Lusaka, Zambia. Methods. We included patients aged ≥16 years who started ART from 2007 onward, with documented baseline weight and serum creatinine. Renal dysfunction was categorized as mild (eGFR 60-89 mL/min), moderate (30-59 mL/min) or severe (<30 mL/min) using the CKD-EPI formula. Differences in eGFR during ART were analyzed using linear mixed-effect models, the odds of developing moderate or severe eGFR decrease with logistic regression and mortality with competing risk regression. Results. We included 62,230 adults, of which 38,716 (62%) initiated a TDF-based regimen. The proportion with moderate or severe renal dysfunction at baseline was lower in the TDF compared to the non-TDF group (1.9% vs. 4.0%). Among patients with no or mild renal dysfunction, those on TDF were more likely to develop moderate (adjusted OR: 3.11; 95%CI: 2.52-3.87) or severe eGFR decrease (adjusted OR: 2.43; 95%CI: 1.80-3.28), although the incidence of such episodes was low. Among patients with moderate or severe renal dysfunction at baseline, renal function improved independently of ART regimen and mortality was similar in both treatment groups. Conclusions. TDF use did not attenuate renal function recovery or increase mortality in patients with renal dysfunction. Further studies are needed to determine the role of routine renal function monitoring before and during ART use in Africa.
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Our objective was to assess differences in all-cause mortality, as well as AIDS and non-AIDS death rates, among patients started on antiretroviral therapy (ART) according to their geographical origin and ethnicity/race in Europe, Canada, and the United States. METHODS: This was a collaboration of 19 cohort studies of human immunodeficiency virus-positive subjects who have initiated ART (ART Cohort Collaboration) between 1998 and 2009. Adjusted mortality hazard ratios (AHRs) were estimated using Cox regression. A competing risk framework was used to estimate adjusted subdistribution hazard ratios for AIDS and non-AIDS mortality. RESULTS: Of 46 648 European patients, 16.3% were from sub-Saharan Africa (SSA), 5.1% Caribbean and Latin America, 1.6% North Africa and Middle East, and 1.7% Asia/West; of 1371 patients from Canada, 14.9% were First Nations and 22.4% migrants, and of 7742 patients from North America, 55.5% were African American and 6.6% Hispanic. Migrants from SSA (AHR, 0.79; 95% confidence interval [CI], .68-.92) and Asia/West (AHR, 0.62; 95% CI, .41-.92) had lower mortality than Europeans; these differences appeared mainly attributable to lower non-AIDS mortality. Compared with white Canadians, mortality in Canadian First Nations people (AHR, 1.48; 95% CI, .96-2.29) was higher, both for AIDS and non-AIDS mortality rates. Among US patients, when compared with whites, African Americans had higher AIDS and non-AIDS mortality, and hazard ratios for all-cause mortality increased with time on ART. CONCLUSIONS: The lower mortality observed in migrants suggests "healthy migrant" effects, whereas the higher mortality in First Nations people and African Americans in North America suggests social inequality gaps. KEYWORDS: HIV infection, antiretroviral therapy, ethnic minorities, migrants Comment in Addressing disparities in HIV mortality: antiretroviral therapy is necessary but not sufficient. [Clin Infect Dis. 2013]