Finding the right hazard function for time‐to‐event modeling: A tutorial and Shiny application

RC Van Wijk, USH Simonsson - CPT: Pharmacometrics & …, 2022 - Wiley Online Library
Parametric time‐to‐event analysis is an important pharmacometric method to predict the
probability of an event up until a certain time as a function of covariates and/or drug …

A review of high-dimensional mediation analyses in DNA methylation studies

H Zhang, L Hou, L Liu - … -Wide Association Studies: Methods and Protocols, 2021 - Springer
DNA methylation alterations have been widely studied as mediators of environmentally
induced disease risks. With new advances in technique, epigenome-wide DNA methylation …

Exporters' agglomeration and the survival of export flows: Empirical evidence from Colombia

R Arguello, A Garcia-Suaza, D Valderrama - Review of World Economics, 2020 - Springer
The survival of new exports is key for underpinning the dynamics of exports growth. In this
paper, we explore whether agglomeration of exporters enhance duration of export flows at …

Regression with a right‐censored predictor using inverse probability weighting methods

RA Matsouaka, FD Atem - Statistics in medicine, 2020 - Wiley Online Library
In a longitudinal study, measures of key variables might be incomplete or partially recorded
due to drop‐out, loss to follow‐up, or early termination of the study occurring before the …

System identification under saturated precise or set-valued measurements

Y Zhao, H Zhang, T Wang, G Kang - Science China Information Sciences, 2023 - Springer
This paper considers the system identification problem based on saturated precise or set-
valued measurements, which is widely used in various fields and has essential difficulties …

Subgroup analysis with time‐to‐event data under a logistic‐Cox mixture model

R Wu, M Zheng, W Yu - Scandinavian Journal of Statistics, 2016 - Wiley Online Library
Subgroup detection has received increasing attention recently in different fields such as
clinical trials, public management and market segmentation analysis. In these fields, people …

Survival analysis of women with breast cancer: competing risk models

RO Ferraz, DC Moreira-Filho - Ciencia & saude coletiva, 2017 - SciELO Brasil
This study aimed to estimate the effects of prognostic factors on breast cancer survival, such
as age, staging, and extension of the tumor, using proportional hazards and competing risks …

Análise de sobrevivência de mulheres com câncer de mama: modelos de riscos competitivos

RO Ferraz, DC Moreira-Filho - Ciência & Saúde Coletiva, 2017 - SciELO Public Health
O objetivo deste estudo foi estimar os efeitos de fatores prognósticos na sobrevida do
câncer de mama, como idade, estadiamento e extensão do tumor, utilizando modelos de …

Co-factor analysis of citation networks

A Hayes, K Rohe - Journal of Computational and Graphical …, 2024 - Taylor & Francis
One compelling use of citation networks is to characterize papers by their relationships to
the surrounding literature. We propose a method to characterize papers by embedding them …

Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors

JA Achcar, E Barili - Statistical Methods & Applications, 2024 - Springer
The class of semiparametric or transformation models has been presented in the literature
as a promising alternative for the analysis of lifetime data in the presence of covariates and …