Evolutionary model of existing competition and voluntary disclosure [PDF]
We analyze how, in the absence of capital market incentives, the influence of existing competition on voluntary disclosure is an evolving process which has a non-monotonic design.
Manuel Núñez-Nickel+1 more
core
Logistic or Cox model to identify risk factors of nosocomial infection: still a controversial issue [PDF]
Sylvie Chevret
openalex +1 more source
Objective We aimed to assess whether high‐sensitivity C‐reactive protein (hsCRP) levels could predict the development of psoriatic arthritis (PsA) in patients with psoriasis. Methods We analyzed data from a prospective cohort of patients with psoriasis without PsA at enrollment.
Lihi Eder+5 more
wiley +1 more source
Verticox+: vertically distributed Cox proportional hazards model with improved privacy guarantees
Federated learning allows us to run machine learning algorithms on decentralized data when data sharing is not permitted due to privacy concerns. Various models have been adapted to use in a federated setting.
Florian van Daalen+4 more
doaj +1 more source
Efficient estimation of a Cox model when integrating the subgroup incidence rate information. [PDF]
Su PF, Zhong J, Liu YC, Lin TH, Ou HT.
europepmc +1 more source
Time Trends and Predictors of Gout Remission Over 6 Years
Objective This study aims to describe the trends in remission rates over 6 years of follow‐up among people with gout taking urate‐lowering therapy (ULT) and to identify variables that predict remission. Methods A post hoc analysis was conducted using data from the Cardiovascular Safety of Febuxostat or Allopurinol in Patients with Gout (CARES) trial ...
Adwoa Dansoa Tabi‐Amponsah+5 more
wiley +1 more source
Comparison of survival prediction models for pancreatic cancer: Cox model versus machine learning models. [PDF]
Kim H, Park T, Jang J, Lee S.
europepmc +1 more source
Updating prognosis in primary biliary cirrhosis using a time-dependent Cox regression model
Erik Christensen+5 more
openalex +1 more source
Testing the Semiparametric Box-cox Model with the Bootstrap [PDF]
N. E. Savin, Allan Würtz
openalex +1 more source
Bayesian multiscale analysis of the Cox model
Piecewise constant priors are routinely used in the Bayesian Cox proportional hazards model for survival analysis. Despite its popularity, large sample properties of this Bayesian method are not yet well understood. This work provides a unified theory for posterior distributions in this setting, not requiring the priors to be conjugate. We first derive
Ning, Bo Y. -C., Castillo, Ismaël
openaire +2 more sources