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Showing 1 to 9 of 9 for “"Accelerated Failure Time Model"”.

  1. Simulation Comparisons of Semi-Parametric Accelerated Failure Time Model With Different Bandwidths

    <p>The proportional hazards (PH) model and the accelerated failure time (AFT) model are the most popular models to fit the censoring data. Sometimes, the PH assumption cannot be satisfied, and therefore, the AFT model becomes a useful alternative to the PH model. Comparing with the least square …

    south-carolina Repository record for Simulation Comparisons of Semi-Parametric Accelerated Failure Time Model With Different Bandwidths (opens in a new tab)

  2. Random Effects Selection In Bayesian Accelerated Failure Time Model With Correlated Interval Censored Data

    … collect multiple observations per subject, the time to an event is often of interest. Sometimes, the occurrence of the event can be recorded at regular intervals leading to interval censored data. It is further desirable to obtain the most parsimonious model in order to increase predictive power …

    south-carolina Repository record for Random Effects Selection In Bayesian Accelerated Failure Time Model With Correlated Interval Censored Data (opens in a new tab)

  3. Quantile Regression With Censored Data

    … Kaplan-Meier; the Cox Proportional Hazards Model; Accelerated Failure Time Model.

    uiuc Repository record for Quantile Regression With Censored Data (opens in a new tab)

  4. A comparison of methods for analysing interval-censored and truncated survival data

    … data: the Cox proportional hazards model (Cox, 1972), the Buckley-James regression model (Buckley and James, 1979) and the accelerated failure time model. These models are extended to incorporate the analysis of interval-censored and left-truncated data. The models are compared in an …

    cape-town Repository record for A comparison of methods for analysing interval-censored and truncated survival data (opens in a new tab)

  5. Inference and Estimation in Change Point Models for Censored Data

    … of a change in distribution for a set of time-ordered observations. This has applications in a large variety of fields and can also apply to survival data. With improvements to medical diagnoses and treatments, incidences and mortality rates have changed. However, the most commonly used …

    odu Repository record for Inference and Estimation in Change Point Models for Censored Data (opens in a new tab)

  6. Cure Rate Models with Nonparametric Form of Covariate Effects

    … on development of spline-based hazard estimation models for cure rate data. Such data can be found in survival studies with long term survivors. Consequently, the population consists of the susceptible and non-susceptible sub-populations with the latter termed as "cured". The modeling of both the …

    vt Repository record for Cure Rate Models with Nonparametric Form of Covariate Effects (opens in a new tab)

  7. A Partly Linear Model for Censored Regression Quantiles

    Partly linear models are useful as an extension to linear regression when the response cannot be easily parameterized in terms of all covariates. Their flexibility in keeping some linear terms, while at the same time introducing a nonparametric relationship makes them attractive for a number of …

    uiuc Repository record for A Partly Linear Model for Censored Regression Quantiles (opens in a new tab)

  8. Contributions to Semiparametric Inference to Biased-Sampled and Financial Data

    This thesis develops statistical models and methods for the analysis of life-time and financial data under the umbrella of semiparametric framework. The first part studies the use of empirical likelihood on Levy processes that are used to model the dynamics exhibited in the financial data. The …

    columbia-diss Repository record for Contributions to Semiparametric Inference to Biased-Sampled and Financial Data (opens in a new tab)

  9. Analysis of clustered competing risks with application to a multicentre clinical trial

    The usefulness of time-to-event (survival) analysis has made it gain a wide applicability in statistically modelling research. The methodological developments of time-to-event analysis that have been widely adopted are: (i) The Kaplan-Meier method, for estimating the survival function; (ii) The …

    cape-town Repository record for Analysis of clustered competing risks with application to a multicentre clinical trial (opens in a new tab)