[PDF] Top 20 A parametric model for doubly interval censored lifetime data
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A parametric model for doubly interval censored lifetime data
... We conducted a coverage probability study using 𝑁 = 1500 replications with sample sizes 𝑛 = 50, 250 and 450 to compare the performance of the Wald confidence interval estimates at nominal error probabilities, 𝛼 = ... See full document
7
Simple parametric survival analysis with anonymized register data: A cohort study with truncated and interval censored event and censoring times
... for interval censored censoring events. When interval censoring is induced by intervals with lengths up to six months, both analytic strategies perform well with negligible bias, cov- erage ... See full document
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Parametric dynamic survival models
... In Chapter 6, the methods are applied to some real data applications: including a set of breast cancer survival times, generating an interval censored data set Finkelstein, 1986; a group[r] ... See full document
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Analysis of Complex Correlated Interval Censored HIV Data from Population Based Survey
... In multi-stage cluster sampling, individuals belonging to the same cluster such as an EA share the same un- observed cluster-specific frailty effect and thus making them positively correlated. For example, in the HIV ... See full document
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Comparing survival functions with interval-censored data in the presence of an intermediate clinical event
... is interval-censored, the situation is more com- plicated. Interval-censored data are data for which the exact failure times are not known but are known to have occurred between ... See full document
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Simulation of parametric model towards the fixed covariate of right censored lung cancer data
... Gompertz model towards the right censored data and the interval censored data with time varying ...The interval estimation with right censored data used Wald ... See full document
9
Flexible Estimation and Testing Methods for Survival Data with Application in Epidemiology and Precision Medicine.
... a parametric approach to model the outcome of interest given treatment and covariates and derives its associated ...a doubly robust aug- mented inverse probability weighted estimator for the mean ... See full document
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Non parametric maximum likelihood estimation of interval censored failure time data subject to misclassification
... Time-to-event data subject to misclassification error has been considered ...analyzed data relating to the diagnosis of onset of puberty in adolescents and considered a discrete time model where ... See full document
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Estimation and model selection for left truncated and right censored lifetime data with application to electric power transformers analysis
... in parametric analyses. Hong et al. (2009) used a graphical model checking procedure to verify the Weibull ...consider model selection among other candidate ...considered model selection via ... See full document
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A semiparametric Bayesian proportional hazards model for interval censored data with frailty effects
... time of death,...) The information for a patient with recur- rence is therefore as follows: it is known that up to a cer- tain time (last FU examination at time t1) the patient is free of a recurrence. The recurrence ... See full document
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Survival Model With Doubly Interval-Censored Data and Time-Dependent Covariates
... The discussion in this research was restricted to two covariate levels. Thus, it would be possible to carry out further work to include more covariate levels. Other survival models could also be developed further to ... See full document
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Onset of persistent pseudomonas aeruginosa infection in children with cystic fibrosis with interval censored data
... Cox model with time-varying coefficients for interval censored data ...for interval censored data ...Cox model has a unique feature: it char- acterizes each ... See full document
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Essays on missing data problems: MSL estimation in the analysis of censored data and doubly robust estimation in the analysis of treatment effects
... missing data. Often the data available concern the events that happened for a given population during a given period, and there is no information about events that happened before or after the observation ... See full document
155
MCP penalized Regression in High Dimensional Partially Linear Models for Right Censored Data
... , where Y i =min { , } T C i i , C i is the logarithm of the censoring time, and i I T { i C i } is the censoring indicator. Assume a random sample consists of n such triplets is observed. This model ... See full document
8
Nelson Aalen and Kaplan Meier Estimators in Competing Risks
... [32] for very fine results of the model law iterated logarithm functional and available in a point or on a compact strictly included in the support of H). This result is consistent with that of Stute [33] which ... See full document
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ESTIMATION OF THE SCALE PARAMETER FROM THE RAYLEIGH DISTRIBUTION FROM TYPE II SINGLY AND DOUBLY CENSORED DATA
... 10. Hirai A. S., Akhtar, A. S. and Memon (2008). Estimation of location and scale parameters from multicensored data from the Rayleigh distribution (Accepted for publication). Biannual Research Journal ... See full document
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Enhancing monotonicity checking in parametric interval linear systems
... Solving systems of parametric linear equations with parameters varying within closed intervals is a hard computational problem. However, we may reduce the problem dimension and thus make the problem more tractable ... See full document
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Estimation of Inverse Rayleigh Distribution Parameters for Type II Singly and Doubly Censored Data Based on Lower Record Values
... and doubly censored samples by BLUE and Bloom’s method for sample size up to ...and doubly censored ...and doubly Type II censored ...and doubly censored ... See full document
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Generalized linear models for flexible parametric modeling of the hazard function
... A wide variety of flexible parametric models may be used to analyze and extrapolate TTE data within a GLM framework, along with its extensions to GAMs, GLMMs, and DGLMs. These include FPs, spline-based ... See full document
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An Overview of Non Parametric Model in Tuberculosis Data
... 2. Clayton, D., Cuzick, J.(1985) The semi – parametric Pareto model for regression analysis of survival times. Proceedings of theCentenary Session of the International Statistical Institute, Amsterdam. 3. ... See full document
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