Pages that link to "Item:Q2641052"

The following pages link to Inference for a nonlinear counting process regression model (Q2641052):

Displaying 36 items.

• Nonparametric quantile regression for twice censored data (Q358126) (← links)
• Nonparametric estimation of the jump rate for non-homogeneous marked renewal processes (Q376702) (← links)
• Multivariate density estimation using dimension reducing information and tail flattening transformations for truncated or censored data (Q421393) (← links)
• Partial orders with respect to continuous covariates and tests for the proportional hazards model (Q710774) (← links)
• Nonparametric conditional hazard rate estimation: a local linear approach (Q1023572) (← links)
• Statistical modelling via partitioned counting processes (Q1062405) (← links)
• Identifying nonlinear covariate effects in semimartingale regression models (Q1262059) (← links)
• Estimating multiplicative and additive hazard functions by kernel methods (Q1429313) (← links)
• Transfer of tail information in censored regression models (Q1578287) (← links)
• Adaptive estimation of the conditional intensity of marker-dependent counting processes (Q1944676) (← links)
• Nonparametric adaptive inference of birth and death models in a large population limit (Q2043821) (← links)
• On the homogeneity test based on the kernel-type estimators of a distribution density (Q2317084) (← links)
• A strong linear representation for the maximum conditional hazard rate estimator in survival analysis (Q2451613) (← links)
• Estimation and confidence bands of a conditional survival function with censoring indicators missing at random (Q2482136) (← links)
• A local linear estimation of conditional hazard function in censored data (Q2511574) (← links)
• Non-Parametric Estimation of the Conditional Distribution of the Interjumping Times for Piecewise-Deterministic Markov Processes (Q2932768) (← links)
• Nonparametric Estimation of the Multivariate Distribution Function in a Censored Regression Model with Applications (Q3017872) (← links)
• Omnibus Tests for Comparison of Competing Risks with Adjustment for Covariate Effects (Q3078825) (← links)
• A goodness-of-fit test for generalised conditional linear models under left truncation and right censoring (Q3589213) (← links)
• Efficient estimation in a nonlinear counting-process regression model (Q3979451) (← links)
• Marker dependent kernel hazard estimation from local linear estimation (Q4235020) (← links)
• A fully nonparametric approach in survival models with explanatory variables (Q4337123) (← links)
• Nonparametric estimation of transition probabilities in a two-stage duration model (Q4349880) (← links)
• On deviations between kernel-type estimators of a distribution density in <font><i>p</i> ⩾ 2</font> independent samples (Q4638719) (← links)
• AVERAGE DERIVATIVES FOR HAZARD FUNCTIONS (Q4653556) (← links)
• A non-negative integer-valued model: Estimation, count regression and practical examples (Q5054094) (← links)
• A NEW INFERENCE STRATEGY FOR GENERAL POPULATION MORTALITY TABLES (Q5119560) (← links)
• (Q5389856) (← links)
• The Mizon–Richard Encompassing Test for the Cox and Aalen Additive Hazards Models (Q5450468) (← links)
• Estimation of the conditional distribution in regression with censored data: a comparative study. (Q5940835) (← links)
• A kernel smoothed semiparametric survival model (Q5950626) (← links)
• Non‐parametric regression in clustered multistate current status data with informative cluster size (Q6064125) (← links)
• Conditional hazard rate estimation for right censored data (Q6565329) (← links)
• Conditional transformation models for survivor function estimation (Q6593498) (← links)
• Nonparametric regression with right-censored covariate via conditional density function (Q6628343) (← links)
• A powerful nonparametric test of the effect of dementia duration on mortality (Q6669480) (← links)