[PDF] Top 20 Mujeres y educación universitaria: las ausentes
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Flexible modelling of survival curves for censored data
... empirical data (Karian and Dudewicz 2000, Su 2007b, 2007a, 2010a, ...pirical data: maximum likelihood estimation (Su 2007b, 2007a), quantile matching (Su 2010a, 2010b) starship method (King and MacGillivray ... See full document
8
Use of interval-censored survival data as an alternative to Kaplan-Meier survival curves: studies of oral lesion occurrence in liver transplants and cancer recurrence
... interval-censored data. Here, we discuss the impact of excluding interval-censored mechanisms in statistical analyses by using simulation studies to consider differences in sample sizes and ... See full document
122
Survival and lifetime data analysis with a flexible class of distributions
... in survival analysis, the interest typically focuses on modelling the survival times of a group of patients in terms of a set of covariates (see ...in modelling the size of reinsurance ... See full document
81
Multivariate permutation test to compare survival curves for matched data
... of survival curves. When data from observational studies are used to explore the role of different treatments, the main problem is to limit the biases due to the lack of ...stratified data are ... See full document
6
Proportional Hazards Regression Model for Time to Event Breast Cancer Data: A Bayesian Approach
... three survival (survivorship, density, and hazard) functions, denoted by S(t), f(t) and h(t), respectively (Collet, ...The survival function S(t) gives the probability of surviving beyond time t, and is the ... See full document
44
Simulation of parametric model towards the fixed covariate of right censored lung cancer data
... with censored observation of survival ...of modelling the survival model which consist of the parametric families, proportional hazard, accelerated failure time and the proportional ... See full document
33
Flexible Estimation and Testing Methods for Survival Data with Application in Epidemiology and Precision Medicine.
... uncensored data. For censored survival data, Goldberg and Kosorok (2012) studied Q-learning for estimating the op- timal dynamic treatment regime based on the inverse probability of censoring ... See full document
67
Flexible linear mixed models with improper priors for longitudinal and survival data
... with flexible random effects and residual error ...with censored observations, allowing for the use of these models in the contexts of popular longitudinal and survival ...with flexible ... See full document
46
Bayesian Survival Analysis of Regression Model Using Weibull
... is censored and 0 otherwise. Section III includes the hypothetical survival data of fifteen patients with censoring suffering from a disease and they were treated by two different ...of ... See full document
13
Statistical Methods For Censored And Missing Data In Survival And Longitudinal Analysis
... simulated data. The simulated data is generated to resemble the survival curve of historical data, such as that from pilot data or previous ...the survival data, an ... See full document
5
Enhanced secondary analysis of survival data: reconstructing the data from published Kaplan-Meier survival curves
... the data extraction using digitizing software. Dear [4] extracts the survival probabilities and their variance and estimates their covariance using normal approximations under the assumption of no ...the ... See full document
8
Smooth Inference for Survival Functions with Arbitrarily Censored Data
... possible survival distributions, one can obtain estimators that are not discrete and that may be based on a more realistic model for T ...a flexible model for densities in several dif- ferent settings ... See full document
132
Simple parametric survival analysis with anonymized register data: A cohort study with truncated and interval censored event and censoring times
... study, data was requested on all patients diagnosed with colorectal can- cer (ICD9 codes C18, C19, and C20) for the first time, and where patients at the time of diagnosis had distant metastases (stage 4) and were ... See full document
6
Non-parametric survival modelling of time to employment amongst 09/10 cohort of mathematics graduates
... Smith, T., Smith, B. and Ryan, M. A. K. (2003). Survival Analysis Using Cox Proportional Hazards Modeling for Single and Multiple Event Time Data. Statistics and Data Analysis. SUGI28. Paper 254-28. ... See full document
164
Survival models for censored point processes
... Hougaard 1987 gives a good overview of the analysis of multivariate survival data, and also discusses some aspects of recurrent event data in the form of counts, and Poisson mixture mode[r] ... See full document
136
Non-Destructive Determination of Magnetic Audio Tape Degradation for Various Tape Chemistries Using Spectroscopy and Chemometrics
... • In Chapter 5, we use two cleaned data sets from Health Sciences South Carolina (HSSC) to illustrate the usage of HDS(t). The HDS(t) and its 95% confidence interval are calculated and used to test the hypothesis ... See full document
16
Long Term Outcomes and Prognosis of Transrectal High Intensity Focused Ultrasound Therapy for Patients with Localized Prostate Cancer—Therapy after Recurrence and Predictive Factors
... recurrence-free survival (RFS) rates in all patients were 75%, and 5-year RFS rates were 98%, 84% and 59% in the low, intermediate and high-risk patients ... See full document
17
Strong representation results of the Kaplan Meier estimator for censored negatively associated data
... The main purpose of this paper is to study the strong convergence rates and strong representation of the Kaplan-Meier estimator and the hazard estimator based on censored data when the survival and ... See full document
12
On comparison of net survival curves
... net survival curves with respect to sex are markedly different and the newly introduced log-rank type test [1] reports a significant difference (p = ...to modelling (that do not require any ... See full document
147
Understanding the predictive value of continuous markers for censored survival data using a likelihood ratio approach
... in censored survival ...in censored survival data contexts through the use of an easily interpretable three-dimensional ...the data values before proceeding with the ... See full document
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