Pages that link to "Item:Q5430592"
From MaRDI portal
The following pages link to Regression Analysis for Multistate Models Based on a Pseudo‐value Approach, with Applications to Bone Marrow Transplantation Studies (Q5430592):
Displaying 21 items.
- Events per variable for risk differences and relative risks using pseudo-observations (Q509861) (← links)
- Flexible semi-parametric regression of state occupational probabilities in a multistate model with right-censored data (Q725419) (← links)
- Estimation and assessment of Markov multistate models with intermittent observations on individuals (Q747353) (← links)
- Inference for current leukemia free survival (Q841028) (← links)
- Inference for outcome probabilities in multi-state models (Q841031) (← links)
- Dynamic predicting by landmarking as an alternative for multi-state modeling: an application to acute lymphoid leukemia data (Q841036) (← links)
- On pseudo-values for regression analysis in competing risks models (Q841059) (← links)
- A random effects model for multistate survival analysis with application to bone marrow transplants (Q1781620) (← links)
- Generalised linear models for correlated pseudo-observations, with applications to multi-state models (Q4455387) (← links)
- Simple analysis of non-Markov models: A case study on heart transplant data (Q4971404) (← links)
- Temporal prediction of future state occupation in a multistate model from high-dimensional baseline covariates via pseudo-value regression (Q5106858) (← links)
- Dynamic Pseudo‐Observations: A Robust Approach to Dynamic Prediction in Competing Risks (Q5408028) (← links)
- A Semiparametric Regression Method for Interval-Censored Data (Q5417897) (← links)
- Direct Modelling of Regression Effects for Transition Probabilities in Multistate Models (Q5430593) (← links)
- Additive hazards Markov regression models illustrated with bone marrow transplant data (Q5479490) (← links)
- Marginalized Frailty-Based Illness-Death Model: Application to the UK-Biobank Survival Data (Q6044621) (← links)
- Non‐parametric regression in clustered multistate current status data with informative cluster size (Q6064125) (← links)
- Modeling and analysis of chronic disease processes under intermittent observation (Q6547608) (← links)
- Regression analysis of recurrent-event-free time from multiple follow-up windows (Q6627263) (← links)
- A new perspective on loss to follow-up in failure time and life history studies (Q6628720) (← links)
- Incorporating longitudinal biomarkers for dynamic risk prediction in the era of big data: a pseudo-observation approach (Q6629825) (← links)
