• We develop a novel parametric mixed-effects general hazard (MEGH) model that is particularly suitable for the analysis of clustered survival data. (arxiv.org)
  • The semi-parametric proportional hazards model with crossed random effects has two important characteristics: it avoids explicit specification of the response time distribution by using semi-parametric models, and it captures heterogeneity that is due to subjects and items. (antonio-schettino.com)
  • In survival analysis, why do we use semi-parametric models (Cox proportional hazards) instead of fully parametric models? (stackexchange.com)
  • The performance of the estimation procedure is assessed with simulations and the model is further illustrated with the analysis of response times from a visual recognition task. (antonio-schettino.com)
  • The methodology involves least squares and maximum likelihood estimation, stepwise addition of basis functions using Rao statistics, stepwise deletion using Wald statistics and model selection using the Bayesian information criterion, cross-validation or an independent test set. (projecteuclid.org)
  • BLS foldases flanked on ZnO negative vectors subsequently gave Rayleigh justify multiple functions( R-SAW) fitted by Thus the Work at of the parameter and Sezawa models, formed by the quality estimation. (scoutconnection.com)
  • 12.3 Parametric and semiparametric estimation. (who.int)
  • In the simplest case of stationary coefficients, for example, a treatment with a drug may, say, halve a subject's hazard at any given time t {\displaystyle t} , while the baseline hazard may vary. (wikipedia.org)
  • Note that between subjects, the baseline hazard λ 0 ( t ) {\displaystyle \lambda _{0}(t)} is identical (has no dependency on i). (wikipedia.org)
  • New generic function calculating baseline hazards from fits. (r-project.org)
  • In the special context of survival analysis, the baseline hazard function is modeled and nonproportionality is allowed. (projecteuclid.org)
  • The survival model is adjusted on the value of the 4C score [3] (including age, gender, comorbidities, and baseline urea and CRP measurement) and involves a coefficient linking the current value of the biomarker value to the hazard. (page-meeting.org)
  • We then derive the time-dependent AUCs with 95% confidence intervals [5] from the baseline model (competing risk model which only includes 4C score as a covariate) and from our multivariable model. (page-meeting.org)
  • The AUC at day 30 is higher when considering the joint model compared to the baseline model only for landmark times of 6 and 9 days. (page-meeting.org)
  • For instance, for landmark time = 9 and horizon time = 30, AUC = 0.64, 95%-CI [0.55,0.74] and AUC = 0.84, 95% CI [0.75,0.92] for the baseline and the joint model, respectively. (page-meeting.org)
  • Four different parametric models-exponential, Weibull, log-normal and log-logistic-were applied to data both on HIV-positive cases and on cases diagnosed with AIDS collected through the national HIV/AIDS surveillance system. (who.int)
  • Using likelihood based goodness-of-fit criteria the Weibull model was found to be the best-fitted model for predicting survival following a diagnosis of HIV infection without and with a diagnosis of AIDS. (who.int)
  • The Weibull model will be applied for future projections of deaths from HIV/AIDS. (who.int)
  • The applications of the developed family to real data sets in medical studies revealed that the special distribution (Harmonic mixture Weibul Weibull distribution) provided a better fit to the data sets than other competitive models. (hindawi.com)
  • In medical and biological studies, the Weibull distribution among numerous classical distributions is a widely applied model for analyzing data with monotone hazard rate shapes. (hindawi.com)
  • For complex biological phenotypic traits with nonmonotone hazard rate shapes, the Weibull distribution does not have the flexibility to model such data. (hindawi.com)
  • Design/methodology/approach - Two proportional hazard modelling approaches - Cox and Weibull - are compared in terms of predictive ability on a data set from a major insurance company. (strath.ac.uk)
  • Furthermore, the results also indicate that Cox's proportional hazard models are superior to Weibull proportional hazard models in this case because of an annual purchase effect. (strath.ac.uk)
  • The best known distributions for modeling CIF are the Weibull and Gompertz distributions. (biomedcentral.com)
  • proposed a generalized Weibull family with a range of hazard shapes [ 6 ] and Foucher et al . (biomedcentral.com)
  • We compared performance of Cox, Weibull, Exponential and Frailty models in a randomized study that had a small sample size in general. (hoajonline.com)
  • The duration up to starting and up to quitting is represented with several parametric models for the hazard function, and statistical tests are used to choose the best specification. (who.int)
  • This multidisciplinary FG-AI4NDM-session invites contributions addressing challenges and opportunities related to the use of AI for the detection, forecasting, and communication of natural hazards and disasters. (copernicus.org)
  • This is anticipated since natural hazards are in principle rare in nature. (copernicus.org)
  • Risk assessment of AST subject to storm event is of great importance considering its vulnerability to natural hazards. (utexas.edu)
  • Typically, these projections are performed using various parametric models, with each model making different assumptions about the underlying hazard function. (iconplc.com)
  • In recent years, various parametric distributions have been developed specifically for analyzing competing risk data that offer more flexibility. (biomedcentral.com)
  • CIRD was associated with an increased risk of DUD in age-adjusted analysis (hazard ratio [HR] 1.77, 95% CI 1.49-2.09). (lu.se)
  • The examples considered are tests concerning survival probabilities based on doubly censored data, a test for presence of heterogeneity in the gamma frailty model, a test for significance of the regression coefficient in Cox's regression model for current status data and a test for a ratio of hazards rates in an exponential mixture model. (projecteuclid.org)
  • During a median of 19-year follow-up, exposed twins were at increased risk of first-onset psychiatric disorders (hazard ratio = 1.56, 95%CI 1.30-1.87) compared with unexposed twins. (elifesciences.org)
  • A parametric study was performed to analyse the variation in the displacement of the structure by varying the structural period ( T p ), the mass ratio ( α i ), and coefficients of friction ( μ si , μ ki ). (inderscience.com)
  • Although none of these measures can reliably predict the outcome of individual patients, some measures could be added to the commonly used hazard ratio to provide a more patient-oriented assessment of treatment benefit. (medscape.com)
  • The course covers issues such as characterizing duration distributions and common parametric families, observation schemes (censoring and truncation), nonparametric approaches, basic hazard regression (proportional hazards), the Cox PH model and model diagnostics, discrete-time hazard regression, piece-wise constant hazard model, non-proportional hazards models, and unobserved heterogeneity. (lu.se)
  • Hazard assessments derived with parametric approaches have a high level of uncertainty. (nzaia.org.nz)
  • In particular, it welcomes presentations highlighting innovative approaches to data collection (e.g., via sensor networks), data handling (e.g., via automating annotation), data storage and transmission (e.g., via edge- and cloud computing), novel modeling or explainability methods (e.g., integrating quantum computing methods), and outcomes of operational implementation. (copernicus.org)
  • 10.4 Review of modeling approaches. (who.int)
  • We combined 2 evaluative approaches (contribution analysis and outcome harvesting) and applied 2 theoretical lenses (Breastfeeding Gear Model and Consolidated Framework for Implementation Research) to examine the implementation process and the enabling environment for breastfeeding. (bvsalud.org)
  • 1. coin: Conditional Inference Procedures - Conditional inference procedures for the general independence problem including two-sample, K-sample (non-parametric ANOVA), correlation, censored, ordered and multivariate problems. (r-project.org)
  • Knowledge uncertainty focuses on the model development factors, parametric breadth and numerical accuracy of available data, and the type of model used in relation to decision making needs (De Groeve at. (nzaia.org.nz)
  • Vibration characterization and numerical modeling of a pneumatic impact hammer. (cdc.gov)
  • Further, the thesis presents a nonlinear numerical model of a pneumatic impact hammer. (cdc.gov)
  • Fundamentally, the numerical model was made up of two different sub-models, 1) a fluid flow model and 2) a structural dynamic model. (cdc.gov)
  • The results obtained from the numerical model were then validated using these experimental results. (cdc.gov)
  • Finally, a parametric study using the numerical model was carried out to explore different vibration control techniques. (cdc.gov)
  • Numerical models have also been set up to simulate real cases such as Anak Krakatoa. (copernicus.org)
  • Therefore, we aimed to investigate the role of prognostic factors on breast cancer survival using Additive Empirical Bayesian model with large data set. (who.int)
  • We propose diagnostic tools for assessing the random effects and their distributional assumption in the proposed MEGH model. (arxiv.org)
  • Sir David Cox observed that if the proportional hazards assumption holds (or, is assumed to hold) then it is possible to estimate the effect parameter(s), denoted β i {\displaystyle \beta _{i}} below, without any consideration of the full hazard function. (wikipedia.org)
  • However, Cox also noted that biological interpretation of the proportional hazards assumption can be quite tricky. (wikipedia.org)
  • Inverse sampling weights in Cox proportional hazard leads to violation of the PH-assumption? (stackexchange.com)
  • Do I need to care if an adjustment variable violates the proportional hazards assumption? (stackexchange.com)
  • However, the linear-quadratic dose-response model gives a risk estimate for low doses which is somewhat less than half that obtained under the assumption of linearity. (uni-muenchen.de)
  • Towards this direction, dam break modelling and flood hazard assessment are essential for developing flood crisis management and evacuation plans. (mdpi.com)
  • In recent years, the developments of new families of probability distributions have received greater attention as a result of desirable properties they exhibit in the modelling of data sets. (hindawi.com)
  • The hazard functions of the special distributions were shown to exhibit various forms of monotone and nonmonotone shapes. (hindawi.com)
  • To this end, the need for the use of appropriate and very efficient probability distributions in the modelling of medical data is fundamentally important. (hindawi.com)
  • We have used the stable distributions family of Hougaard to propose a new four-parameter distribution by extending a two-parameter log-logistic distribution, and carried out a simulation study to compare the cumulative incidence estimated with this distribution with the estimates obtained using a non-parametric method. (biomedcentral.com)
  • These distributions can fit U-shapes or unimodal shapes for the hazard function, and therefore can be appropriate for survival data. (biomedcentral.com)
  • We estimated all-cause survival using the Kaplan-Meier method, crude mortality rates and hazard ratios (HRs) using. (lu.se)
  • Subdistribution hazards model of Fine and Gray was used with deaths and liver transplantation treated as competing risks. (nature.com)
  • Firstly, each biomarker is modelled by parametric linear or non-linear mixed-effects model jointly estimated with a parametric competing risk model involving subdistribution hazards. (page-meeting.org)
  • The originality of the work relies on (i) the statistical approach combining a (possibly non-linear) longitudinal model jointly estimated with a parametric subdistribution model to derive individual dynamic predictions considering hospital discharge as a competing event, and (ii) the use of real-life hospital data to collect massive data on biological examinations. (page-meeting.org)
  • It is noteworthy that as early as 1949, Boag [4] estimated the cure rate using his survival model which has three parameters including the cure rate. (scirp.org)
  • The risk of CRC among ADT exposed PC patients compared to unexposed cancer-free men was calculated using a flexible parametric survival model and expressed as hazard ratios (HRs) with 95% confidence intervals (CIs). (springer.com)
  • In a proportional hazards model, the unique effect of a unit increase in a covariate is multiplicative with respect to the hazard rate. (wikipedia.org)
  • X_{i})&=\lambda _{0}(t)\exp(\beta _{1}X_{i1}+\cdots +\beta _{p}X_{ip})\\&=\lambda _{0}(t)\exp(X_{i}\cdot \beta )\end{aligned}}} This expression gives the hazard function at time t for subject i with covariate vector (explanatory variables) Xi. (wikipedia.org)
  • A two-regime parametric mixture is proposed to model the effect of a single covariate on the event time. (suny.edu)
  • This approach to survival data is called application of the Cox proportional hazards model, sometimes abbreviated to Cox model or to proportional hazards model. (wikipedia.org)
  • Taking a competing risk approach, the cause-specific hazards of a first event are modelled using parametric survival analysis. (bmj.com)
  • This thesis presents a new approach to measuring the vibration from these tools using an experimental hand arm model to which the tools are attached. (cdc.gov)
  • In this five-step approach, starting with single detection channels and ending with a three-out-of-three model comprised of three independent dual-channel modules and a voter, we exemplify a probabilistic assessment, using a combination of statistical methods and parametric stochastic model checking. (sigplan.org)
  • A joint modeling approach can provide individual dynamic predictions that take the full history of longitudinal measurements into account [1,2]. (page-meeting.org)
  • Thirdly, a multivariable joint model combining biomarkers from different physiological areas (arterial blood gas, blood count, inflammation markers) is constructed using a forward selection approach based on the global Wald test of the link between the various biomarkers and the risk of death. (page-meeting.org)
  • We demonstrated the added-value of longitudinal biological follow-up and the joint modeling approach for improving prognosis predictions. (page-meeting.org)
  • To test our approach in a practical application, the model was applied to a set of real data on fertility history. (biomedcentral.com)
  • However, the parametric model is another available approach for modeling CIF. (biomedcentral.com)
  • One approach to the construction of flexible parametric models is to add a shape parameter to provide a wide range of hazard shapes and improve the models in survival data. (biomedcentral.com)
  • 9. A Unified Modeling Approach: From Exposure to Disease Endpoints (Chao W. Chen). (who.int)
  • 9.2 Conventional approach to modeling carcinogenesis. (who.int)
  • The modelling approach to estimate net survival is a methodological strength. (cdc.gov)
  • Ignoring such variability would impose unrealistic assumptions in the analysis and could affect the inference on the statistical models. (arxiv.org)
  • We investigate the performance of the MEGH model using theoretical and simulation studies, as well as a real data application on leukemia. (arxiv.org)
  • Modelling survival data in medical research. (southampton.ac.uk)
  • 3. Meta-Analysis of Diagnostic Accuracy - The mada package (Meta-Analysis of Diagnostic Accuracy) provides model fitting functions for diagnostic accuracy data. (r-project.org)
  • 5. blupsurv - Tools for fitting proportional hazards models to clustered recurrent events data. (r-project.org)
  • We used flexible parametric survival models adjusted for attained age, sociodemographic characteristics, and coexisting conditions for data analysis. (lu.se)
  • To understand the uncertainty and its implications, uncertainties in data used for hazard, exposure and vulnerability calculation needs to be holistically analysed. (nzaia.org.nz)
  • Higher degrees of accuracy may be achieved with data-intensive physically based flood models, however uncertainties are still associated with each step of the process (Morrs et. (nzaia.org.nz)
  • You can carry out very comprehensive analysis of univariate and multivariate data based on linear, general linear, and mixed linear models. (statcon.de)
  • Estimates of an intervention's cost-effectiveness can be sensitive to the methods applied in modelling and extrapolating survival data. (iconplc.com)
  • A location-scale regression model was developed from the family and its application demonstrated using survival time data of hypertensive patients. (hindawi.com)
  • The efficient modelling of medical data is useful in providing good understanding of the distribution of disease incidence and prevalence in medical studies. (hindawi.com)
  • The ITU/WMO/UNEP Focus Group AI for Natural Disaster Management (FG-AI4NDM) is building a community of experts and stakeholders to identify best practices in the use of AI for data processing, improved modeling across spatiotemporal scales, and providing effective communication. (copernicus.org)
  • Higher Work at home p+2K+1× was required as leading offset to a such promoter of desired leu1( LG) SAW data which cover rather however identified for ZnO C31 Models. (scoutconnection.com)
  • The Cox Proportional Hazards(PH) model is commonest survival data model used in clinical trials. (hoajonline.com)
  • This emphasizes the fact that when models are fitted to data, it is good practice to assess the goodness of fit and where appropriate alternative models should be fitted. (hoajonline.com)
  • Knowing the distribution model of the data helps you to continue with the right analysis. (originlab.com)
  • 8.3 Model-based evaluation of liver focal lesion data. (who.int)
  • Analysis of Survival Data with Non-proportional Hazards and Crossings of Survival Functions (Vilijandas B. Bagdonavic?ius and Mikhail S. Nikuline). (who.int)
  • The course introduces multilevel data structures and alternative analysis strategies, and deals with subjects such as variance components models, random intercept models, random slope models, contextual effects, three-level models, and modelling variance. (lu.se)
  • The proposed structure generalises the mixed-effects proportional hazards (MEPH) and mixed-effects accelerated failure time (MEAFT) structures, among other structures, which are obtained as special cases of the MEGH structure. (arxiv.org)
  • accelerated failure time models. (southampton.ac.uk)
  • Other types of survival models such as accelerated failure time models do not exhibit proportional hazards. (wikipedia.org)
  • The accelerated failure time model describes a situation where the biological or mechanical life history of an event is accelerated (or decelerated). (wikipedia.org)
  • 8. Stochastic Carcinogenesis Models (Annette Kopp-Schneider, Iris Burkholder and Jutta Groos). (who.int)
  • 8.2 Stochastic models for hepatocarcinogenesis. (who.int)
  • Conclusions Our model can be used to estimate the impact of primary prevention interventions on life expectancy and can assess the impact of interventions on inequalities. (bmj.com)
  • Typically, the Cox proportional hazards model is applied to estimate a single regime survival regression function. (suny.edu)
  • methods imaged developed for three optimization models in antigen to confer Joint SAW plane biomarkers. (scoutconnection.com)
  • One feature of competing risks is the cumulative incidence function, which is modeled in most studies using non- or semi-parametric methods. (biomedcentral.com)
  • The advantage of parametric methods compared to non- and semi-parametric ones is that if a parametric model is selected correctly, it can predict the probability of the occurrence of events in the long term and provide additional insights about the time to failure and hazard functions [ 5 ]. (biomedcentral.com)
  • We illustrate that, under certain not unreasonable assumptions, the resulting hazard rate becomes acceptable for the discussed application setting. (sigplan.org)
  • Analysis of variance type models are considered for a regression function or for the logarithm of a probability function, conditional probability function, density function, conditional density function, hazard function, conditional hazard function or spectral density function. (projecteuclid.org)
  • Finally, a broad parametric study that constrain the landslide dynamics for a landslide probabilistic hazard analysis is undertaken, to show how using past observations can effectively reduce uncertainties related to landslide dynamics. (copernicus.org)
  • Moreover, we have employed Navier-Stokes simulations to hindcast model experiments of subaerial landslide tsunamis. (copernicus.org)
  • Modelling, simulations and forecasting are important components of the demographic toolkit. (lu.se)
  • Design A state transition model was developed using the Scottish Heart Health Extended Cohort (SHHEC) linked to Scottish morbidity and death records. (bmj.com)
  • I'm running a cause-specific Cox proportional hazard model to identify the association between potential risk factors and an outcome in a cohort study. (stackexchange.com)
  • The objective of this study is to develop and externally validate a patient-level simulation model for prediabetes and type 2 diabetes in the East Asian population for predicting lifetime health outcomes.We developed a health outcomes model from a population-based cohort of individuals with prediabetes or type 2 diabetes: Hong Kong Clinical Management System (CMS, 97,628 participants) from 2006 to 2017. (stanford.edu)
  • Main limitations include the limited number of outcomes recorded in the CHARLS cohort, and the generalizability of simulated cohorts derived from trial participants.Our study shows that the CHIME model is a new validated tool for predicting progression of diabetes and its outcomes, particularly among Chinese and East Asian populations that has been lacking thus far. (stanford.edu)
  • Origin provides both parametric and non-parametric measures of correlation. (originlab.com)
  • Despite the continuum of risk across the spectrum of risk factor values, existing models are typically limited to diabetes alone and ignore the progression from prediabetes to diabetes. (stanford.edu)
  • Development and validation of the CHIME simulation model to assess lifetime health outcomes of prediabetes and type 2 diabetes in Chinese populations: A modeling study. (stanford.edu)
  • The Chinese Hong Kong Integrated Modeling and Evaluation (CHIME) simulation model comprises of 13 risk equations to predict mortality, micro- and macrovascular complications, and development of diabetes. (stanford.edu)
  • The results of simulation studies showed that the estimated cumulative incidence function was more accurate than non-parametric estimates in some settings. (biomedcentral.com)
  • The analyses included three different orientations of the joint sets, four different joint spacings, three different values of joint strength and two different values of block comer rounding, which combine for a total of 72 different combinations of model parameters. (cdc.gov)
  • Several covariates-age, sex, combined HIV exposure category, CD4 cell counts, antiretroviral treatment and AIDS-defining illnesses-were included in the parametric model to predict factors associated with future mortality. (who.int)
  • Exposure, vulnerability, and corresponding damage are then modeled by a multi-parametric, micro-scale damage model which is adapted to the specific context of Venice with its dense urban structure and high risk awareness. (tudelft.nl)
  • 7. Modeling Exposure and Target Organ Concentrations (Karen H. Watanabe). (who.int)
  • Exponential model was the best fitting method with AIC=174.1. (hoajonline.com)
  • Exponential models can elicit more valid results than semi-parametric CoxPH model in a clinical trial with small sample size. (hoajonline.com)
  • estimating the parameters of multiple-state models. (southampton.ac.uk)
  • and the effect parameters, describing how the hazard varies in response to explanatory covariates. (wikipedia.org)
  • The advantage of his model is that its parameters provide the information for clinicians and patients eagerly seek, such as the patient's chance of being cured, and if not cured, the time to death from the cancer. (scirp.org)
  • This allows us to develop the first model checking algorithm for STL that can guarantee the correctness of STL up to given bound parameters, and a pioneering bounded model checker for hybrid systems, called STLmc. (sigplan.org)
  • New function, graphically comparing cumulative hazards. (r-project.org)
  • However, parametric models are required in some cases to ensure maximum efficiency, and to fit various shapes of hazard function. (biomedcentral.com)
  • In contrast, the cause-specific hazard function (CSHF) calculates the instantaneous rate of the event. (biomedcentral.com)
  • they are inadequate when the hazard function shape is unimodal. (biomedcentral.com)
  • This project involved modeling rock masses with varying Rock Mass Rating (RMR) values to determine the degree of instability that develops around an underground opening as a function of RMR. (cdc.gov)
  • I am using survival analysis to model Treaty ratification, using country-treaty dyads as my primary unit. (stackexchange.com)
  • For competing-risk survival analysis, cause-specific hazards or Fine-Gray model is recommended 12 . (nature.com)
  • The aforementioned alcohol-related HCC prediction models, however, used conventional cox regression without competing risk analysis. (nature.com)
  • Symbolic reachability analysis using rewriting with Satisfiability Modulo Theories (SMT) has been used to model different systems, including a variety of security protocols. (sigplan.org)
  • The deduced dose dependency agrees well with a previous analysis in terms of a non-parametric proportional hazards model, and confirms the temporal distribution which has been used in the Radioepidemiological Tables of NIH. (uni-muenchen.de)
  • The multivariable joint model includes CO 2 arterial pressure and C-reactive protein, whose longitudinal evolution are significantly associated with both risks of death and discharge. (page-meeting.org)
  • 2007). In each case, in the United States, regulators currently have limited there are multiple and competing models and hypoth- access to information required for characterizing risks eses. (cdc.gov)
  • each unit increase in x {\displaystyle x} results in proportional scaling of the hazard. (wikipedia.org)
  • The results of the parametric study demonstrate that the sliding blocks behave as rigidly attached bodies to the structure for higher structural periods and frictional constants. (inderscience.com)
  • The proposed model has a proportionality parameter for the speed of each test taker, for the time intensity of each item, and for subject or item characteristics of interest. (antonio-schettino.com)
  • The experimental hand-arm model has been designed to have similar dynamic characteristics to that of a human hand-arm system. (cdc.gov)
  • We first use a state-of-the-art hydrodynamic urban model to identify the hazard characteristics inside the city of Venice. (tudelft.nl)
  • In building a HCC prediction model, deaths and liver transplantations should be considered as competing events because many ALD patients experience hepatic decompensations and deaths before HCC is detected. (nature.com)
  • Understanding this influence would improve prediction of when purchases will occur and hence is important for the Customer lifetime value models of financial service organisations. (strath.ac.uk)
  • Do the predictions of a Random Forest model have a prediction interval? (stackexchange.com)
  • In this study, we introduce a cardiovascular disease (CVD) policy model which can be used to model remaining life expectancy including a measure of socioeconomic deprivation as an independent risk factor for CVD. (bmj.com)
  • The CHIME model was compared to United Kingdom Prospective Diabetes Study Outcomes Model 2 (UKPDS-OM2) and Risk Equations for Complications Of type 2 Diabetes (RECODe) by assessing model discrimination (C-statistics), calibration slope/intercept, root mean square percentage error (RMSPE), and R2. (stanford.edu)
  • Combining an overview of the study with some highlights, we show how SLATE has contributed to increasing our understanding of landslide tsunamis and their hazard. (copernicus.org)
  • Work at Model for emerging contrast: A circular Sample Study. (scoutconnection.com)
  • A distinct element parametric study of failure modes around an underground opening in rock masses of varying quality. (cdc.gov)
  • 4. Biological Carcinogenesis: Theories and Models (Sylvia Solakidi, Constantinos E. Vorgias and Constantine E. Sekeris). (who.int)
  • Understand models for human mortality, including how to compute and interpret the life table in a variety of contexts and models for forecasting morality. (southampton.ac.uk)
  • In light of the issues summarized above, a more efficient parametric distribution with various shapes of hazard patterns would appear to be useful for estimating CIF in competing risk situations. (biomedcentral.com)
  • For example, taking a drug may halve one's hazard rate for a stroke occurring, or, changing the material from which a manufactured component is constructed may double its hazard rate for failure. (wikipedia.org)
  • Before thoroughly assessing the failure risk of AST during hurricanes, understanding the possible failure mechanism and numerically predicting the tank response to multi-hazard event is inevitable. (utexas.edu)
  • Risk equations were derived using parametric proportional hazard models. (stanford.edu)
  • PhD , Geomatics Engineering with a thesis entitled: 'Development of an SDI Conceptual Model and Web-based System to Facilitate Disaster Management', Faculty of Geodesy & Geomatics Eng. (lu.se)