Pages that link to "Item:Q2902575"
From MaRDI portal
The following pages link to Dynamic prediction in clinical survival analysis (Q2902575):
Displaying 40 items.
- dynpred (Q47073) (← links)
- Penalised logistic regression and dynamic prediction for discrete-time recurrent event data (Q269755) (← links)
- Survival models in a dynamic context: a survey (Q704411) (← links)
- Modeling potential time to event data with competing risks (Q746628) (← links)
- Comparison of stopped Cox regression with direct methods such as pseudo-values and binomial regression (Q747354) (← links)
- Estimation of incident dynamic AUC in practice (Q829721) (← links)
- Clinical prediction models. A practical approach to development, validation, and updating. (Q938599) (← links)
- Comparison of joint modelling and landmarking approaches for dynamic prediction using bootstrap simulation (Q2089366) (← links)
- Restricted mean survival time estimation: nonparametric and regression methods (Q2223147) (← links)
- Survival models and health sequences (Q2274641) (← links)
- Commentary to: ``Survival models and health sequences'' (Q2274645) (← links)
- Landmark estimation of survival and treatment effects in observational studies (Q2356620) (← links)
- Dynamic regression models for survival data. (Q2493435) (← links)
- Prediction of transplant-free survival in idiopathic pulmonary fibrosis patients using joint models for event times and mixed multivariate longitudinal data (Q2953284) (← links)
- (Q2958712) (← links)
- Robust Prediction of t-Year Survival with Data from Multiple Studies (Q3013973) (← links)
- (Q3295341) (← links)
- Dynamic prediction: A challenge for biostatisticians, but greatly needed by patients, physicians and the public (Q3299081) (← links)
- A tutorial on dynamic risk prediction of a binary outcome based on a longitudinal biomarker (Q3299117) (← links)
- Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time‐to‐event in presence of censoring and competing risks (Q3465731) (← links)
- The Kaplan-Meier Integral in the Presence of Covariates: A Review (Q4609010) (← links)
- Cox regression models with functional covariates for survival data (Q4971417) (← links)
- Landmark Estimation of Survival and Treatment Effect in a Randomized Clinical Trial (Q4975358) (← links)
- PLS-Frailty Model for Cancer Survival Analysis Based on Gene Expression Profiles (Q5278376) (← links)
- Testing interaction between treatment and high‐dimensional covariates in randomized clinical trials (Q5280183) (← links)
- On longitudinal prediction with time‐to‐event outcome: Comparison of modeling options (Q5347405) (← links)
- Estimating the average treatment effect on survival based on observational data and using partly conditional modeling (Q5347411) (← links)
- Dynamic Pseudo‐Observations: A Robust Approach to Dynamic Prediction in Competing Risks (Q5408028) (← links)
- Cross-Validated Bagged Prediction of Survival (Q5442991) (← links)
- Evaluating multiple surrogate markers with censored data (Q6055488) (← links)
- Maximum Likelihood Estimation in the Additive Hazards Model (Q6055736) (← links)
- Life history analysis with multistate models: A review and some current issues (Q6059422) (← links)
- Dynamic logistic state space prediction model for clinical decision making (Q6079844) (← links)
- Discussion of “A Risk-Based Measure of Time-Varying Prognostic Discrimination for Survival Models,” by C. Jason Liang and Patrick J. Heagerty (Q6079967) (← links)
- Dynamic prediction of mortality among patients in intensive care using the sequential organ failure assessment (SOFA) score: a joint competing risk survival and longitudinal modeling approach (Q6089160) (← links)
- Fifty years with the Cox proportional hazards regression model (Q6149599) (← links)
- A joint model for dynamic prediction in uveitis (Q6625590) (← links)
- Estimating the association between blood pressure variability and cardiovascular disease: an application using the ARIC study (Q6625596) (← links)
- Analysis of time-to-event for observational studies: guidance to the use of intensity models (Q6627876) (← links)
- Modeling multiple correlated end-organ disease trajectories: a tutorial for multistate and joint models with applications in diabetes complications (Q6630349) (← links)
