The following pages link to Lifetime Data Analysis (Q77967):
Displaying 50 items.
- Marginal regression models with a time to event outcome and discrete multiple source predictors (Q5963026) (← links)
- A formal test for the stationarity of the incidence rate using data from a prevalent cohort study with follow-up (Q5963027) (← links)
- Bounds on the covariate-time transformation for competing-risks survival analysis (Q5963028) (← links)
- Inferences on a life distribution by sampling from the ages or the ages at death (Q5963029) (← links)
- Nonparametric estimation of transition probabilities in a non-Markov illness-death model (Q5963030) (← links)
- A hybrid Newton-type method for censored survival data using double weights in linear models (Q5963031) (← links)
- A computationally simple bivariate survival estimator for efficacy and safety (Q5963032) (← links)
- Semiparametric analysis of mixture regression models with competing risks data (Q5963033) (← links)
- Checking the linear transformation model for clustered failure time observations (Q5963034) (← links)
- A Cox-type regression model with change-points in the covariates (Q5963035) (← links)
- Mortality, longevity and experiments with the Lee-Carter model (Q5963036) (← links)
- A new class of survival regression models with heavy-tailed errors: robustness and diagnostics (Q5963037) (← links)
- Estimating the grid of time-points for the piecewise exponential model (Q5963038) (← links)
- A class of accelerated means regression models for recurrent event data (Q5963039) (← links)
- Editorial (Q5963058) (← links)
- Subgroup specific incremental value of new markers for risk prediction (Q5963059) (← links)
- Estimating improvement in prediction with matched case-control designs (Q5963060) (← links)
- Understanding increments in model performance metrics (Q5963061) (← links)
- Semiparametric inference on the absolute risk reduction and the restricted mean survival difference (Q5963062) (← links)
- Assessing discrimination of risk prediction rules in a clustered data setting (Q5963063) (← links)
- ROC analysis for multiple markers with tree-based classification (Q5963064) (← links)
- Discussion of: ``Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches'' (Q5966199) (← links)
- Discussion of: ``Bayesian local influence for survival models'' (Q5966200) (← links)
- Preface (Q5966201) (← links)
- Editorial (Q5971138) (← links)
- Targeted maximum likelihood estimation for causal inference in survival and competing risks analysis (Q5982241) (← links)
- Estimation and testing for clustered interval-censored bivariate survival data with application using the semi-parametric version of the Clayton-Oakes model (Q6071449) (← links)
- Bayesian semiparametric joint model of multivariate longitudinal and survival data with dependent censoring (Q6071450) (← links)
- Cox (1972): recollections and reflections (Q6092301) (← links)
- A nonparametric instrumental approach to confounding in competing risks models (Q6092302) (← links)
- Volume under the ROC surface for high-dimensional independent screening with ordinal competing risk outcomes (Q6092303) (← links)
- Evaluation of the natural history of disease by combining incident and prevalent cohorts: application to the Nun study (Q6092304) (← links)
- Quantile forward regression for high-dimensional survival data (Q6092305) (← links)
- Regression analysis of general mixed recurrent event data (Q6092306) (← links)
- Improving marginal hazard ratio estimation using quadratic inference functions (Q6092307) (← links)
- Joint modeling of generalized scale-change models for recurrent event and failure time data (Q6099539) (← links)
- Flexible two-piece distributions for right censored survival data (Q6099541) (← links)
- A general class of promotion time cure rate models with a new biological interpretation (Q6099542) (← links)
- Semiparametric regression analysis of doubly-censored data with applications to incubation period estimation (Q6099543) (← links)
- Double bias correction for high-dimensional sparse additive hazards regression with covariate measurement errors (Q6099545) (← links)
- A uniformisation-driven algorithm for inference-related estimation of a phase-type ageing model (Q6099546) (← links)
- A flexible parametric approach for analyzing arbitrarily censored data that are potentially subject to left truncation under the proportional hazards model (Q6099547) (← links)
- Bayesian design of clinical trials using joint cure rate models for longitudinal and time-to-event data (Q6099548) (← links)
- A series of two-sample non-parametric tests for quantile residual life time (Q6099549) (← links)
- Special issue dedicated to Ørnulf Borgan (Q6103245) (← links)
- Bivariate pseudo-observations for recurrent event analysis with terminal events (Q6103247) (← links)
- Estimating distribution of length of stay in a multi-state model conditional on the pathway, with an application to patients hospitalised with covid-19 (Q6103249) (← links)
- Phase-type models for competing risks, with emphasis on identifiability issues (Q6103250) (← links)
- Analysis and asymptotic theory for nested case-control designs under highly stratified proportional hazards models (Q6103251) (← links)
- The partly parametric and partly nonparametric additive risk model (Q6103252) (← links)
