Pages that link to "Item:Q3925051"
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The following pages link to Fitting Cox's Regression Model to Survival Data using GLIM (Q3925051):
Displaying 16 items.
- Mixed modeling with whole genome data (Q454774) (← links)
- Partial least squares Cox regression for genome-wide data (Q953248) (← links)
- Generalized self-consistency: multinomial logit model and Poisson likelihood (Q1031751) (← links)
- Adjusted variable plots for Cox's proportional hazards regression model (Q1126026) (← links)
- On the maximum penalized likelihood approach for proportional hazard models with right censored survival data (Q1623455) (← links)
- A smooth dynamic network model for patent collaboration data (Q2125735) (← links)
- Rejoinder on: ``Inference and computation with generalized additive models and their extensions'' (Q2195740) (← links)
- Multilevel and latent variable modeling with composite links and exploded likelihoods (Q2517865) (← links)
- Statistical Methods for Individual-Level Data in Cohort Mortality Studies of Rheumatic Diseases (Q3652681) (← links)
- Survival Analysis in Clinical Trials: Past Developments and Future Directions (Q4670446) (← links)
- A Scalable Empirical Bayes Approach to Variable Selection in Generalized Linear Models (Q5066001) (← links)
- A generalized additive model approach to time-to-event analysis (Q5142210) (← links)
- A Tutorial on Multilevel Survival Analysis: Methods, Models and Applications (Q6086486) (← links)
- Cox (1972): recollections and reflections (Q6092301) (← links)
- Bayesian survival analysis with INLA (Q6618411) (← links)
- Spike-and-slab least absolute shrinkage and selection operator generalized additive models and scalable algorithms for high-dimensional data analysis (Q6628512) (← links)
