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Showing 1 to 20 of 41 for “"survival model"”.

  1. Survival Model and Estimation for Lung Cancer Patients.

    … Cox proportional hazard regression for the survival study of a group of lung cancer patients. The covariates in the hazard function are estimated by maximum likelihood estimation following the proportional hazards regression analysis. Although the proportional hazards model does not give an …

    etsu Repository record for Survival Model and Estimation for Lung Cancer Patients. (opens in a new tab)

  2. Semiparametric Bayesian Kernel Survival Model for Highly Correlated High-Dimensional Data

    … effects and the element effects associated with survival outcomes from heterogeneous populations using Bayesian survival kernel models. By connecting kernel machines with semiparametric Bayesian hierarchical models, the proposed unified model frameworks can identify significant elements as well …

    vt Repository record for Semiparametric Bayesian Kernel Survival Model for Highly Correlated High-Dimensional Data (opens in a new tab)

  3. Modeling General Response to Silvicultural Treatments in Loblolly Pine Stands

    Basal area and dominant height growth and survival models incorporating general response to silvicultural treatments for loblolly pine stands were developed using data from various silvicultural experiments across Southern United States. Growth models for treated stands were developed by …

    vt Repository record for Modeling General Response to Silvicultural Treatments in Loblolly Pine Stands (opens in a new tab)

  4. Essays on Semiparametric Methods in Finance

    … can be recorded. Unlike previous studies that model the time between transactions completely parametrically, in this paper we use the semiparametric survival model of Kooperberg, Stone, and Troung (1995). The primary objective of this paper is to examine how important trade characteristics are …

    uiuc Repository record for Essays on Semiparametric Methods in Finance (opens in a new tab)

  5. Trends and ethnic disparities in the incidence and outcome of stroke in Auckland, New Zealand over 20 years

    … with 95% confidence intervals. Trends in survival were assessed using Cox Proportional hazards regression modelling. Results: Overall trends in the incidence and event rates of stroke declined across the study period. These declines were significant in males and for the ages 65 to 74 years …

    auckland-ms Repository record for Trends and ethnic disparities in the incidence and outcome of stroke in Auckland, New Zealand over 20 years (opens in a new tab)

  6. Mark-Recapture Creel Survey and Survival Models

    <p>In this dissertation, we consider a model based approach to the estimation of exploitation rate of a fish population by combining mark-recapture procedures with a creel survey. We also consider the analysis of a proportional hazards survival model for randomly censored observations, known as the …

    odu Repository record for Mark-Recapture Creel Survey and Survival Models (opens in a new tab)

  7. Survival equations for loblolly pine trees in cutover, site- prepared plantations

    … growing under certain conditions was modeled. A particular algorithm SCREEN was used to fmd the best set of predictors variables. This algorithm was specially created to be used when the dependent variable can take only two values like in this binary case (dead or alive tree). The …

    vt Repository record for Survival equations for loblolly pine trees in cutover, site- prepared plantations (opens in a new tab)

  8. A Comparison of Discrete and Continuous Survival Analysis

    There has been confusion in choosing a proper survival model between two popular survival models of discrete and continuous survival analysis. This study aimed to provide empirical outcomes of two survival models in educational contexts and suggest a guideline for researchers who should adopt a …

    vt Repository record for A Comparison of Discrete and Continuous Survival Analysis (opens in a new tab)

  9. Performance analysis of garbage collection and dynamic reordering in a Lisp system

    … and generation capacities. Analytic timing and survival models are used to represent garbage collection runtime and to derive structural results on its behavior. The survival model provides bounds on the age of objects surviving a garbage collection at a particular level. Empirical results show …

    uiuc Repository record for Performance analysis of garbage collection and dynamic reordering in a Lisp system (opens in a new tab)

  10. A comparison of some methods of modeling baseline hazard function in discrete survival models

    The baseline parameter vector in a discrete-time survival model is determined by the number of time points. The larger the number of the time points, the higher the dimension of the baseline parameter vector which often leads to biased maximum likelihood estimates. One of the ways to overcome this …

    venda Repository record for A comparison of some methods of modeling baseline hazard function in discrete survival models (opens in a new tab)

  11. Emergency Diesel-Electric Generator Set Maintenance and Test Periodicity

    … this research developed a parametric regression survival model of the reliability of modern diesel-electric generator sets in emergency standby duty as a function of maintenance, age, and cumulative run hours. A survival regression technique leveraging Cox’s (1972) methods was developed to …

    odu Repository record for Emergency Diesel-Electric Generator Set Maintenance and Test Periodicity (opens in a new tab)

  12. Effect of time horizon on incremental cost-effectiveness ratios

    … thesis, I explored methods of extrapolating the survival effect of different interventions and the effect of time horizon on incremental cost-effectiveness ratios when comparing two strategies. Methods: Two strategies for a patient are compared: new or usual treatment. A hypothetical model based …

    mit Repository record for Effect of time horizon on incremental cost-effectiveness ratios (opens in a new tab)

  13. Challenging the Rigor of Alpha/Beta and Relative Biological Effectiveness in Tumor Contorl [sic] Probability Determinations via In Silico Modeling That Incorporates Individualized Biological and Physiological Data

    … therapy focus largely on linear quadratic (LQ) model survival parameters generated from conventional radiotherapy regimens, of ~2 Gy/fraction. The accuracy of the LQ model has been questioned for high dose per fraction radiation therapy and for carbon ion radiotherapy. Furthermore, the …

    utswmed Repository record for Challenging the Rigor of Alpha/Beta and Relative Biological Effectiveness in Tumor Contorl [sic] Probability Determinations via In Silico Modeling That Incorporates Individualized Biological and Physiological Data (opens in a new tab)

  14. Fast Monte Carlo Cell-By-Cell Simulation of Radiation-Induced DNA Damage, Chromosome Aberrations, and Cell Death for Low-Dose-Rate Brachytherapy Sources

    The development of new tools for the modeling and simulation of radiation damage to DNA and the resulting chromosome aberrations has enabled studies of cell survival characteristics to be performed via computer simulation. TOPAS, a Monte Carlo based physics modeling tool, contains models of the …

    gatech Repository record for Fast Monte Carlo Cell-By-Cell Simulation of Radiation-Induced DNA Damage, Chromosome Aberrations, and Cell Death for Low-Dose-Rate Brachytherapy Sources (opens in a new tab)

  15. Modeling Recurrent Metastatic Events

    … data. We propose and evaluate a recurrent event survival model that draws additional statistical power from patients with multiple metastases, while modeling loss to follow up and mortality. We analyze tumor sequencing data from over 15,000 unique patients across 8 primary cancers and 7 target …

    mit Repository record for Modeling Recurrent Metastatic Events (opens in a new tab)

  16. Raptors in Temperate Grasslands: Ecology of Ferruginous Hawk, Golden Eagle, and Northern Harrier in the Northern Great Plains

    … of factors associated with the landscape on survival and nest-site selection of ferruginous hawks, golden eagles, and northern harriers in the northern Great Plains (north-central South Dakota, south-central North Dakota hereafter, Eastern Dakota [ED], and northwestern South Dakota hereafter, …

    sdstate Repository record for Raptors in Temperate Grasslands: Ecology of Ferruginous Hawk, Golden Eagle, and Northern Harrier in the Northern Great Plains (opens in a new tab)

  17. Discrete survival models with flexible link functions for age at first marriage among woman in Swaziland

    … the use of exible link functions in discrete survival models through a simulation study and an application to the Swaziland Demographic and Health Survey (SDHS) data. The objective of the research study is to perform simulation exercises in order to compare the e ectiveness of di erent …

    venda Repository record for Discrete survival models with flexible link functions for age at first marriage among woman in Swaziland (opens in a new tab)

  18. Adoption, Spatial Patterns, and Behavioral Mechanisms in California Turf Removal Rebate Programs

    … this program. The first paper uses a multilevel survival model framework to explore spatial patterns, drivers of participation, and the presence of peer effects. Results show that home ownership, length of time in home, and peer effects all influence the time to participation in the program. The …

    claremont Repository record for Adoption, Spatial Patterns, and Behavioral Mechanisms in California Turf Removal Rebate Programs (opens in a new tab)

  19. Comparative Analysis of Discrimination and Calibration Accuracy of Discrete Survival, Random Forests, and Neural Networks in Health-Related Survival Prediction Models

    Prediction models for survival analysis are commonly used in biomedical sciences to understand the onset of certain diseases. Traditional statistical models have been employed for the previous years, however, their limitations and inability to handle big data sets has made a way for the …

    venda Repository record for Comparative Analysis of Discrimination and Calibration Accuracy of Discrete Survival, Random Forests, and Neural Networks in Health-Related Survival Prediction Models (opens in a new tab)

  20. DWCox: A density-weighted Cox model for outlier-robust prediction of prostate cancer survival

    Reliable predictions on the risk and survival time of prostate cancer patients based on their clinical records can help guide their treatment and provide hints about the disease mechanism. The Cox regression is currently a commonly accepted approach for such tasks in clinical applications. More …

    uiuc Repository record for DWCox: A density-weighted Cox model for outlier-robust prediction of prostate cancer survival (opens in a new tab)

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