Publications related to Survival analysis

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Global eigenvalue distribution of matrices defined by the skew-shift

Marius Christopher Lemm

We consider large Hermitian matrices whose entries are defined by evaluating the exponential function along orbits of the skew-shift

\binom{j}{2} \omega+jy+x \mod 1

for irrational

\omega

. We prove that the eigenvalue distribution of these matrices conv ...

2019

Survival analysis

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On null hypotheses in survival analysis

The additive hazard estimator is consistent for continuous-time marginal structural models

ActiveAx(ADD): Toward non-parametric and orientationally invariant axon diameter distribution mapping using PGSE

Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness

Non-perturbative probability distribution function for cosmological counts in cells

Contributions to Likelihood-Based Modelling of Extreme Values

Nowcasting lightning occurrence from commonly available meteorological parameters using machine learning techniques

An Alternate Statistical Lens to Look at Collaboration Data: Extreme Value Theory

Influence of curved delamination front on R-curve of DCB specimen

Global eigenvalue distribution of matrices defined by the skew-shift

Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness

Non-perturbative probability distribution function for cosmological counts in cells

ActiveAx(ADD): Toward non-parametric and orientationally invariant axon diameter distribution mapping using PGSE

Influence of curved delamination front on R-curve of DCB specimen

Global eigenvalue distribution of matrices defined by the skew-shift

On null hypotheses in survival analysis

The additive hazard estimator is consistent for continuous-time marginal structural models

Contributions to Likelihood-Based Modelling of Extreme Values

Nowcasting lightning occurrence from commonly available meteorological parameters using machine learning techniques

An Alternate Statistical Lens to Look at Collaboration Data: Extreme Value Theory