Pages that link to "Item:Q1367119"
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The following pages link to A flexible approach to time-varying coefficients in the Cox regression setting (Q1367119):
Displaying 38 items.
- Bayesian dynamic regression models for interval censored survival data with application to children dental health (Q113683) (← links)
- Survival Analysis with Time-Varying Regression Effects Using a Tree-Based Approach (Q151457) (← links)
- Flexible Bayesian survival modeling with semiparametric time-dependent and shape-restricted covariate effects (Q516472) (← links)
- Incorporating follow-up time in M-estimation for survival data (Q702742) (← links)
- Dynamic survival models with spatial frailty (Q878292) (← links)
- Parametrization and penalties in spline models with an application to survival analysis (Q961170) (← links)
- Sample size calculation for the proportional hazards model with a time-dependent covariate (Q1623465) (← links)
- Semiparametric spatial model for interval-censored data with time-varying covariate effects (Q1662826) (← links)
- Robust inference for univariate proportional hazards frailty regression models (Q1879961) (← links)
- Efficient particle smoothing for Bayesian inference in dynamic survival models (Q2135903) (← links)
- Tree-based modeling of time-varying coefficients in discrete time-to-event models (Q2223346) (← links)
- Bayes linear kinematics in a dynamic survival model (Q2374527) (← links)
- Survival analysis on data streams: analyzing temporal events in dynamically changing environments (Q2509460) (← links)
- A class of parametric dynamic survival models (Q2576819) (← links)
- Joint structure selection and estimation in the time-varying coefficient Cox model (Q2796868) (← links)
- Efficient estimation for the Cox model with varying coefficients (Q2892093) (← links)
- Model selection for Cox models with time-varying coefficients (Q2912333) (← links)
- Nonlinear and time‐dependent effects of sparsely measured continuous time‐varying covariates in time‐to‐event analysis (Q3299134) (← links)
- Bayesian random-effects threshold regression with application to survival data with nonproportional hazards (Q3303589) (← links)
- The Survival of Newly Founded Firms: A Case-Study into Varying-Coefficient Models (Q3409814) (← links)
- A Parametric Dynamic Survival Model Applied to Breast Cancer Survival Times (Q3435724) (← links)
- The separation of timescales in Bayesian survival modeling of the time-varying effect of a time-dependent exposure (Q3526169) (← links)
- Estimating Cumulative Treatment Effects in the Presence of Nonproportional Hazards (Q3530089) (← links)
- Predictive capability of stratified proportional hazards models (Q3591773) (← links)
- On fitting Cox's regression model with time-dependent coefficients (Q4376600) (← links)
- Iterated Residuals and Time-Varying Covariate Effects in Cox Regression (Q4665868) (← links)
- A markov regression model for the analysis of the postpartum lactational amenorrhea (Q4784247) (← links)
- On Estimation and Tests of Time-Varying Effects in the Proportional Hazards Model (Q4828226) (← links)
- Reduced rank hazard regression with fixed and time‐varying effects of the covariates (Q4902187) (← links)
- Dynamic Bayesian adjustment of anticipatory covariates in retrospective data: application to the effect of education on divorce risk (Q5073405) (← links)
- A New Proposal for Multivariable Modelling of Time‐Varying Effects in Survival Data Based on Fractional Polynomial Time‐Transformation (Q5122937) (← links)
- Time-varying Hazards Model for Incorporating Irregularly Measured, High-Dimensional Biomarkers (Q5134494) (← links)
- Time-to-event prediction with neural networks and Cox regression (Q5214221) (← links)
- A varying‐coefficient generalized odds rate model with time‐varying exposure: An application to fitness and cardiovascular disease mortality (Q5214557) (← links)
- Bayesian Semiparametric Dynamic Frailty Models for Multiple Event Time Data (Q5295358) (← links)
- Cox proportional hazards models with left truncation and time‐varying coefficient: Application of age at event as outcome in cohort studies (Q5348677) (← links)
- Comparison of procedures to assess non‐linear and time‐varying effects in multivariable models for survival data (Q5391160) (← links)
- Conditional transformation models for survivor function estimation (Q6593498) (← links)
