Survival analysis for the German data
SURVIVAL ANALYSIS OF DEGRADATION DATA
... ABSTRACT Survival analysis examines and models the time it takes for events to occur, termed survival ...of survival time on predictor ...the survival package in R to estimate Cox ...
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Survival analysis of current oncology data
... Klı´cˇova´ slova: karcinom prostaty, analy´za prˇezˇitı´, krˇivky prˇezˇitı´, Neparametricke´ me- tody, Kaplan-Meierovy krˇivky prˇezˇitı´, Parametricke´ metody, Weibullovo rozdeˇlenı´ Abstract This project is focused on ...
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Heritage and Firm Survival - An Analysis of German Automobile Spinoffs 1886-1939
... their survival duration or concerning their innovative ...the survival chances of spinoffs in the German automobile industry regarding the success of their parents will be ...
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The dChip survival analysis module for microarray data
... dChip analysis steps: SNP data input and normalization, plotting copy number data in the chromosome view, carrying out survival analysis using the log-rank and Cox model, and the ...
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Survival Analysis for a Breast Cancer Data Set
... A survival analysis on a data set of 295 early breast cancer patients is per- formed in this ...the data be- sides the hypertabastic ...overall survival and hazard rate for breast ...
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Transformation Models for Survival Data Analysis with Applications
... The results of the Cox proportional hazard model are summarized in Table 4. All covariates are highly signi- ficant at the α = 0.05 level. The results show that males have a higher hazard rate than females and older ...
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Survival Analysis for Truncated Data and Competing Risks
... censored survival data can be applied, the presence of left truncation and competing risks (i.e.,.. other adverse events such as death that may lead to censoring with respect to AD) may [r] ...
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Regression Models and the Analysis of Censored Survival Data
... urvival data type which has received r e c e n t attention in the lit e r a t u r e concerns the situation in which a p a t ie n t may switch treatment group during the course o f the ...t data, have ...
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Applying Survival Analysis to Telecom Churn Data
... operator data set, we designed and proposed a solution to employ survival analysis technique that estimates customers’ survivals and ...on survival times and hazards. After hazard ratios and ...
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Methods for analysis of multi-state survival data
... Cancer Data Due to large number of people affected by cancer of Colon, there is much demand for information on this ...analyzed data from one of the first successful trials of adjuvant chemotherapy for ...
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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 ...
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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 ...the data. For example, when the data ...
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Estimation/Imputation strategies for missing data in survival analysis
... missing data, we refer to the monography by Little and Rubin Little and Rubin ...in survival function and cumulative hazard rate ...the survival function in the MAR case and prove its ...the ...
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Network meta-analysis of survival data with fractional polynomials
... The model fit statistics for the different models are pre- sented in Table 2. The fixed effects Weibull model (p1 = 0) was one of the worst regarding goodness-of-fit. Of the first order fractional polynomial models, the ...
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Sentiment Analysis of German Social Media Data for Natural Disasters
... sentiment analysis to social media in German related to this flood using ...the data-set over the span of the disaster as well as across the most active twitter accounts is ...sentiment ...
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Missing covariate data in parametric survival analysis : modelling the missing data mechanism
... missing data we only observe a set of possible cells based on the observed ...missing data and we know only a range of possible cells then these cells are indicated in W i by the value 1 and all others by ...
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Survival Analysis Part II: Multivariate data analysis - an introduction to concepts and methods
... We will return to this example in the next paper of this series. WHICH MODEL SHOULD WE USE: PH OR AFT? From a statistical viewpoint, an obvious way to choose between the two model types is to fit a type that is in ...
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Contributions to the analysis of credit risk data using advanced survival analysis techniques.
... Table 3.5 lists the mean of the absolute differences between the model expected future loan value estimates and the true values. Note that these differences are bigger for loans with a longer loan term, which is logi- ...
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Survival analysis
... Wardak, Mohammad Alif, "Survival analysis" (2005). Theses Digitization Project. 2810. https://scholarworks.lib.csusb.edu/etd-project/2810 This Thesis is brought to you for free and open access by the John ...
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Analysis of Survival Data: Challenges and Algorithm-Based Model Selection
... event data AbsTRACT Survival data is a special form of time to event data that is often encountered while modelling ...analyse survival data, cannot be used for modelling risk ...
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