DOI10.1214/aos/1032894452zbMath0859.62032OpenAlexW2064207173MaRDI QIDQ1816601
Jian Huang
Publication date: 9 April 1997
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/aos/1032894452
Inference on semi-parametric transformation model with a pairwise likelihood based on left-truncated and interval-censored data,
Regression analysis of informative current status data with the semiparametric linear transformation model,
Estimation in the single change-point hazard function for interval-censored data with a cure fraction,
Nonparametric tests for stratified additive hazards model based on current status data,
Regression analysis of dependent current status data with the accelerated failure time model,
Estimation Under the Lehmann Regression Model with Interval-Censored Data,
Bayesian Inferences for Panel Count Data and Interval-Censored Data with Nonparametric Modeling of the Baseline Functions,
Semiparametric Analysis of Zero‐Inflated Count Data,
Robust estimation of constant and time-varying parameters in nonlinear ordinary differential equation models,
Inferences for multiple interval type-I censoring scheme,
Variance Estimation under Two‐Phase Sampling,
Semiparametric transformation models for current status data with informative censoring,
Efficient inferences for linear transformation models with doubly censored data,
Regression analysis of case II interval-censored data with auxiliary covariates,
Estimation of the additive hazards model with linear inequality restrictions based on current status data,
ICBayes: a package of Bayesian semiparametric regression for intervel-censored data,
Regression analysis of interval-censored failure time data with cured subgroup and mismeasured covariates,
A spline-based nonparametric analysis for interval-censored bivariate survival data,
Risk prediction with imperfect survival outcome information from electronic health records,
Regression analysis of multivariate current status data under a varying coefficients additive hazards frailty model,
New methods for the additive hazards model with the informatively interval‐censored failure time data,
Developing and evaluating risk prediction models with panel current status data,
Concave Likelihood-Based Regression with Finite-Support Response Variables,
Semiparametric Regression Analysis of Interval-Censored Competing Risks Data,
Semiparametric Efficiency in Convexity Constrained Single-Index Model,
Efficient estimation of a varying-coefficient partially linear proportional hazards model with current status data,
A new approach to regression analysis of linear transformation model with interval-censored data,
Regression analysis of misclassified current status data with informative observation times,
Generalized Odds Rate Frailty Models for Current Status Data with Informative Censoring,
Semiparametric probit regression model with misclassified current status data,
Estimation of linear transformation cure models with informatively interval-censored failure time data,
Estimation in monotone single‐index models,
A multiple imputation approach for the Cox-Aalen cure model with interval-censored data,
Efficient estimation for the non-mixture cure model with current status data,
Inference on semiparametric transformation model with general interval-censored failure time data,
Variable selection in the high-dimensional continuous generalized linear model with current status data,
Cox regression for current status data with mismeasured covariates,
Semiparametric linear transformation models for current status data,
Semiparametric analysis of incomplete current status outcome data under transformation models,
Maximum Likelihood Estimation for the Proportional Hazards Model with Partly Interval-Censored Data,
Using Conditional Logistic Regression to Fit Proportional Odds Models to Interval Censored Data,
Regression Analysis of Current Status Data Under the Additive Hazards Model with Auxiliary Covariates,
Efficient Estimation of the Partly Linear Additive Hazards Model with Current Status Data,
Survival Analysis in Clinical Trials: Past Developments and Future Directions,
Estimation of the Association for Bivariate Interval‐censored Failure Time Data,
A Semiparametric Binary Regression Model Involving Monotonicity Constraints,
Semiparametric Estimation in Transformation Models with Cure Fraction,
Regression Analysis of a Disease Onset Distribution Using Diagnosis Data,
Estimation of partially linear single-index additive hazards model with current status data,
A Spline-Based Semiparametric Maximum Likelihood Estimation Method for the Cox Model with Interval-Censored Data,
Hazard Regression for Interval-Censored Data with Penalized Spline,
Maximum Likelihood Estimation in a Semiparametric Logistic/Proportional-Hazards Mixture Model,
A Multiple Imputation Approach to the Analysis of Current Status Data with the Additive Hazards Model,
Study of an imputation algorithm for the analysis of interval-censored data,
Regression analysis of misclassified current status data,
Semiparametric analysis of case K interval-censored failure time data in the presence of a cured subgroup and informative censoring,
Efficient estimation of semiparametric varying-coefficient partially linear transformation model with current status data,
The Cox-Aalen model for left-truncated and mixed interval-censored data,
Analysis of Current Status Data with Missing Covariates,
Semiparametric Bayes' Proportional Odds Models for Current Status Data with Underreporting,
A simple nonparametric two-sample test for the distribution function of event time with interval censored data,
Efficient estimation for the proportional hazards model with competing risks and current status data,
Relative risk regression for current status data in case-cohort studies,
Semiparametric probit models with univariate and bivariate current-status data,
A Cox‐Aalen Model for Interval‐censored Data,
Spline estimation of generalised monotonic regression,
Maximum likelihood estimation for the proportional odds model with mixed interval-censored failure time data,
Regression Analysis of Left-truncated and Case I Interval-censored Data with the Additive Hazards Model,
Regression analysis of clustered interval-censored failure time data with the additive hazards model,
Conditional Score Approach to Errors-in-Variable Current Status Data Under the Proportional Odds Model,
EM algorithm for the additive risk mixture cure model with interval-censored data,
An additive hazards cure model with informative interval censoring,
Regression analysis of current status data with latent variables,
Nonparametric regression with current status data,
A new MM algorithm for constrained estimation in the proportional hazards model,
A new method for regression analysis of interval-censored data with the additive hazards model,
Penalized log-likelihood estimation for partly linear transformation models with current status data,
On asymptotically optimal tests under loss of identifiability in semiparametric models,
Efficient estimation for semiparametric varying-coefficient partially linear regression models with current status data,
Partially linear single-index proportional hazards model with current status data,
Regression analysis of current status data in the presence of a cured subgroup and dependent censoring,
Regression analysis of current status data with auxiliary covariates and informative observation times,
Adaptive penalized M-estimation with current status data,
Likelihood based inference for monotone response models,
Penalized nonparametric likelihood-based inference for current status data model,
Bayesian proportional hazards model for current status data with monotone splines,
Regression analysis of current status data in the presence of dependent censoring with applications to tumorigenicity experiments,
Cox regression analysis of dependent interval-censored failure time data,
Regression analysis for bivariate gap time with missing first gap time data,
Semiparametric analysis of the additive hazards model with informatively interval-censored failure time data,
Regression under Cox's model for recall-based time-to-event data in observational studies,
Regression analysis of multivariate current status data with auxiliary covariates under the additive hazards model,
Complex sampling designs: uniform limit theorems and applications,
Semiparametric likelihood ratio inference,
Spline-based sieve maximum likelihood estimation in the partly linear model under monotonicity constraints,
Two-step semiparametric empirical likelihood inference,
Estimation and goodness-of-fit for the Cox model with various types of censored data,
Current status linear regression,
Efficient estimation of quasi-likelihood models using \(B\)-splines,
Maximum penalized likelihood estimation of additive hazards models with partly interval censoring,
Regression analysis of interval-censored data with informative observation times under the accelerated failure time model,
Efficient estimation of the varying-coefficient partially linear proportional odds model with current status data,
Efficient estimation of a varying-coefficient partially linear binary regression model,
Joint analysis of current count and current status data,
Efficient estimation for additive hazards regression with bivariate current status data,
Additive risk model for current status data with a cured subgroup,
The analysis of tumorigenicity data using a frailty effect,
On efficient estimation in additive hazards regression with current status data,
Weighted likelihood estimation under two-phase sampling,
A sieve M-theorem for bundled parameters in semiparametric models, with application to the efficient estimation in a linear model for censored data,
Sieve least squares estimator for partial linear models with current status data,
Nonparametric maximum likelihood analysis of clustered current status data with the gamma-frailty Cox model,
Semiparametric efficient estimation for additive hazards regression with case II interval-censored survival data,
Semiparametric model for prediction of individual claim loss reserving,
An overview of semiparametric models in survival analysis,
Estimation of smooth regression functions in monotone response models,
Additive risk model with case-cohort sampled current status data,
A Bézier curve method in interval-censored data,
Higher order semiparametric frequentist inference with the profile sampler,
General frequentist properties of the posterior profile distribution,
Additive time-dependent hazard model with doubly truncated data,
Estimation of copula-based models for lifetime medical costs,
Generalized accelerated hazards mixture cure models with interval-censored data,
Semiparametric least-squares regression with doubly-censored data,
Semiparametric inference for merged data from multiple data sources,
Efficient estimation for the proportional hazards model with bivariate current status data,
A transformation approach for the analysis of interval-censored failure time data,
Estimation of the Birnbaum-Saunders regression model with current status data,
A multiple imputation approach to the analysis of interval-censored failure time data with the additive hazards model,
Asymptotic properties of the maximum likelihood estimator for the proportional hazards model with doubly censored data,
Consistency of the generalized MLE of a joint distribution function with multivariate interval-censored data,
Frailty models for arbitrarily censored and truncated data,
Hypothesis testing with paired partly interval censored data,
A class of semiparametric cure models with current status data,
Outcome-dependent sampling with interval-censored failure time data,
Efficient estimation of Banach parameters in semiparametric models,
Saddlepoint \(p\)-values and confidence intervals for a class of two sample permutation tests for current status and panel count data,
Sieve estimation of constant and time-varying coefficients in nonlinear ordinary differential equation models by considering both numerical error and measurement error,
Sieve least squares estimation for partially nonlinear models,
Convergence rates of MLE in a partly linear model,
Additive-multiplicative hazards model with current status data,
A semiparametric regression cure model for doubly censored data,
A baseline-free procedure for transformation models under interval censorship,
Partially monotone tensor spline estimation of the joint distribution function with bivariate current status data,
Semiparametric estimation for the non-mixture cure model in case-cohort and nested case-control studies,
Estimation of the additive hazards model with case \(K\) interval-censored failure time data in the presence of informative censoring,
Two likelihood-based semiparametric estimation methods for panel count data with covariates,
Empirical Analysis of Interval-Censored Failure Time Data with Linear Transformation Models,
The T-type estimate of a class of partially non linear models,
Using the accelerated failure time model to analyze current status data with misclassified covariates,
Efficient estimation in single index models through smoothing splines,
Linear regression with interval censored data,
Simple estimation procedures for regression analysis of interval-censored failure time data under the proportional hazards model,
Inference about the ratio of scale parameters in a two-sample setting with current status data,
A functional inference for multivariate current status data with mismeasured covariate,
Locally Efficient Semiparametric Estimators for Proportional Hazards Models with Measurement Error,
Empirical Likelihood for the Additive Hazards Model with Current Status Data,
New statistical software for the proportional hazards model with current status data,
Root- estimability of some missing data models,
Efficient sieve maximum likelihood estimation of time-transformation models,
Efficient estimation of the partly linear additive Cox model,
On testing tumor onset times,
How Many Iterations are Sufficient for Efficient Semiparametric Estimation?,
Robust semiparametric M-estimation and the weighted bootstrap,
Semiparametric regression analysis for left-truncated and interval-censored data without or with a cure fraction,
Two estimators of the mean of a counting process with panel count data.,
Locally efficient estimation of regression parameters using current status data,
Efficient Estimation for Linear Transformation Models with Current Status Data,
Conditional MLE for the proportional hazards model with left-truncated and interval-censored data,
Tests against inequality constraints in semiparametric models