L. J. Wei

The Highest Confidence Density Region and Its Usage for Inferences about the Survival Function with Censored Data (2008)

The Highest Confidence Density Region and Its Usage for Inferences about the Survival Function with Censored Data (2008)

The Highest Confidence Density Region and Its Usage for Inferences about the Survival Function with Censored Data (2008)

Calibrating Parametric Subject-specific Risk Estimation (2008)

Cai, Tianxi, Tian, Lu, Uno, Hajime, Solomon, Scott D., Wei, L. J.

Calibrating Parametric Subject-specific Risk Estimation (2008)

Cai, Tianxi, Tian, Lu, Uno, Hajime, Solomon, Scott D., Wei, L. J.

Calibrating Parametric Subject-specific Risk Estimation (2008)

Cai, Tianxi, Tian, Lu, Uno, Hajime, Solomon, Scott D., Wei, L. J.

Calibrating Parametric Subject-specific Risk Estimation (2008)

Cai, Tianxi, Tian, Lu, Uno, Hajime, Solomon, Scott D., Wei, L. J.

Evaluating Subject-level Incremental Values of New Markers for Risk Classification Rule (2008)

Cai, Tianxi, Tian, Lu, Lloyd-Jones, Donald M., Wei, L. J.

Evaluating Subject-level Incremental Values of New Markers for Risk Classification Rule (2008)

Cai, Tianxi, Tian, Lu, Lloyd-Jones, Donald M., Wei, L. J.

Evaluating Subject-level Incremental Values of New Markers for Risk Classification Rule (2008)

Cai, Tianxi, Tian, Lu, Lloyd-Jones, Donald M., Wei, L. J.

Evaluating Subject-level Incremental Values of New Markers for Risk Classification Rule (2008)

Cai, Tianxi, Tian, Lu, Lloyd-Jones, Donald M., Wei, L. J.

Nonparametric Inference Procedure For Percentiles of the Random Effect Distribution in Meta Analysis (2008)

Nonparametric Inference Procedure For Percentiles of the Random Effect Distribution in Meta Analysis (2008)

Nonparametric Inference Procedure For Percentiles of the Random Effect Distribution in Meta Analysis (2008)

Nonparametric Inference Procedure For Percentiles of the Random Effect Distribution in Meta Analysis (2008)

Effectively Combining Independent 2 x 2 Tables for Valid Inferences in Meta Analysis with all Available Data but no Artificial Continuity Corrections for Studies with Zero Events and its Application to the Analysis of Rosiglitazone's Cardiovascular Disease Related Event Data (2007)

Tian, Lu, Cai, Tianxi, Piankov, Nikita, Cremieux, Pierre-Yves, Wei, L. J.

Effectively Combining Independent 2 x 2 Tables for Valid Inferences in Meta Analysis with all Available Data but no Artificial Continuity Corrections for Studies with Zero Events and its Application to the Analysis of Rosiglitazone's Cardiovascular Disease Related Event Data (2007)

Tian, Lu, Cai, Tianxi, Piankov, Nikita, Cremieux, Pierre-Yves, Wei, L. J.

Effectively Combining Independent 2 x 2 Tables for Valid Inferences in Meta Analysis with all Available Data but no Artificial Continuity Corrections for Studies with Zero Events and its Application to the Analysis of Rosiglitazone's Cardiovascular Disease Related Event Data (2007)

Tian, Lu, Cai, Tianxi, Piankov, Nikita, Cremieux, Pierre-Yves, Wei, L. J.

Effectively Combining Independent 2 x 2 Tables for Valid Inferences in Meta Analysis with all Available Data but no Artificial Continuity Corrections for Studies with Zero Events and its Application to the Analysis of Rosiglitazone's Cardiovascular Disease Related Event Data (2007)

Tian, Lu, Cai, Tianxi, Piankov, Nikita, Cremieux, Pierre-Yves, Wei, L. J.

Simultaneous and exact interval estimates for the contrast of two groups based on an extremely high dimensional variable: application to mass spec data (2007)

Park, Yuhyun, Downing, Sean R., Kim, Dohyun, Hahn, William C., Li, Cheng, Kantoff, Philip W., ...

Motivation: Analysis of high-throughput proteomic/genomic data, in particular, surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) data and microarray data,...

Identifying patients who need additional biomarkers for better prediction of health outcome or diagnosis of clinical phenotype (2007)

Identifying patients who need additional biomarkers for better prediction of health outcome or diagnosis of clinical phenotype (2007)

Identifying patients who need additional biomarkers for better prediction of health outcome or diagnosis of clinical phenotype (2007)

Identifying patients who need additional biomarkers for better prediction of health outcome or diagnosis of clinical phenotype (2007)

Model evaluation based on the sampling distribution of estimated absolute prediction error (2007)

Tian, Lu, Cai, Tianxi, Goetghebeur, Els, Wei, L. J.

The construction of a reliable, practically useful prediction rule for future responses is heavily dependent on the ‘adequacy’ of the fitted regression model. In this article, we consider the...

Model evaluation based on the sampling distribution of estimated absolute prediction error (2007)

Tian, Lu, Cai, Tianxi, Goetghebeur, Els, Wei, L.J.

The construction of a reliable, practically useful prediction rule for future responses is heavily dependent on the 'adequacy' of the fitted regression model. In this article, we consider the...

Predicting Future Responses Based on Possibly Misspecified Working Models (2006)

Predicting Future Responses Based on Possibly Misspecified Working Models (2006)

Predicting Future Responses Based on Possibly Misspecified Working Models (2006)

Predicting Future Responses Based on Possibly Misspecified Working Models (2006)

Evaluating Prediction Rules for t-Year Survivors With Censored Regression Models (2006)

Evaluating Prediction Rules for t-Year Survivors With Censored Regression Models (2006)

Suppose that we are interested in establishing simple, but reliable rules for predicting future t-year survivors via censored regression models. In this article, we present inference procedures for...

Evaluating Prediction Rules for t-Year Survivors With Censored Regression Models (2006)

Suppose that we are interested in establishing simple, but reliable rules for predicting future t-year survivors via censored regression models. In this article, we present inference procedures for...

Evaluating Prediction Rules for t-Year Survivors With Censored Regression Models (2006)

Suppose that we are interested in establishing simple, but reliable rules for predicting future t-year survivors via censored regression models. In this article, we present inference procedures for...

One- and two-sample nonparametric inference procedures in the presence of a mixture of independent and dependent censoring (2006)

Suppose that we are interested in establishing simple, but reliable rules for predicting future t-year survivors via censored regression models. In this article, we present inference procedures for...

Model Evaluation Based on the Distribution of Estimated Absolute Prediction Error (2005)

In survival analysis, the event time T is often subject to dependent censorship. Without assuming a parametric model between the failure and censoring times, the parameter Θ of interest, for...

Tian, Lu, Cai, Tianxi, Goetghebeur, Els, Wei, L. J.

The construction of a reliable, practically useful prediction rule for future response is heavily dependent on the "adequacy" of the fitted regression model. In this article, we consider the absolute...

Model Evaluation Based on the Distribution of Estimated Absolute Prediction Error (2005)

Tian, Lu, Cai, Tianxi, Goetghebeur, Els, Wei, L. J.

The construction of a reliable, practically useful prediction rule for future response is heavily dependent on the "adequacy" of the fitted regression model. In this article, we consider the absolute...

Model Evaluation Based on the Distribution of Estimated Absolute Prediction Error (2005)

Tian, Lu, Cai, Tianxi, Goetghebeur, Els, Wei, L. J.

The construction of a reliable, practically useful prediction rule for future response is heavily dependent on the "adequacy" of the fitted regression model. In this article, we consider the absolute...

Model Evaluation Based on the Distribution of Estimated Absolute Prediction Error (2005)

Tian, Lu, Cai, Tianxi, Goetghebeur, Els, Wei, L. J.

The construction of a reliable, practically useful prediction rule for future response is heavily dependent on the "adequacy" of the fitted regression model. In this article, we consider the absolute...

Simultaneous and Exact Interval Estimates for the Contrast of Two Groups Based on an Extremely High Dimensional Response Variable: Application to Mass Spec Data Analysis (2005)

Park, Yuhyun, Downing, Sean R., Li, Cheng, Hahn, William C., Kantoff, Philip W., Wei, L. J.

Simultaneous and Exact Interval Estimates for the Contrast of Two Groups Based on an Extremely High Dimensional Response Variable: Application to Mass Spec Data Analysis (2005)

Park, Yuhyun, Downing, Sean R., Li, Cheng, Hahn, William C., Kantoff, Philip W., Wei, L. J.

Simultaneous and Exact Interval Estimates for the Contrast of Two Groups Based on an Extremely High Dimensional Response Variable: Application to Mass Spec Data Analysis (2005)

Park, Yuhyun, Downing, Sean R., Li, Cheng, Hahn, William C., Kantoff, Philip W., Wei, L. J.

Simultaneous and Exact Interval Estimates for the Contrast of Two Groups Based on an Extremely High Dimensional Response Variable: Application to Mass Spec Data Analysis (2005)

Park, Yuhyun, Downing, Sean R., Li, Cheng, Hahn, William C., Kantoff, Philip W., Wei, L. J.

Implementation Of Estimating-Function Based Inference Procedures With MCMC Sampler (2005)

Implementation Of Estimating-Function Based Inference Procedures With MCMC Sampler (2005)

Implementation Of Estimating-Function Based Inference Procedures With MCMC Sampler (2005)

Implementation Of Estimating-Function Based Inference Procedures With MCMC Sampler (2005)

Robust Inferences For Covariate Effects On Survival Time With Censored Linear Regression Models (2005)

Robust Inferences For Covariate Effects On Survival Time With Censored Linear Regression Models (2005)

Various inference procedures for linear regression models with censored failure times have been studied extensively. Recent developments on efficient algorithms to implement these procedures enhance...

Robust Inferences For Covariate Effects On Survival Time With Censored Linear Regression Models (2005)

Various inference procedures for linear regression models with censored failure times have been studied extensively. Recent developments on efficient algorithms to implement these procedures enhance...

Robust Inferences For Covariate Effects On Survival Time With Censored Linear Regression Models (2005)

Various inference procedures for linear regression models with censored failure times have been studied extensively. Recent developments on efficient algorithms to implement these procedures enhance...

The optimal confidence region for a random parameter (2005)

Various inference procedures for linear regression models with censored failure times have been studied extensively. Recent developments on efficient algorithms to implement these procedures enhance...

Uno, Hajime, Tian, Lu, Wei, L. J.

Suppose that, under a two-level hierarchical model, the distribution of the vector of random parameters is known or can be estimated well. The data are generated via a fixed, but unobservable,...

Semiparametric Box-Cox power transformation models for censored survival observations (2005)

One- and two-sample nonparametric inference procedures in the presence of a mixture of independent and dependent censoring (2005)

The accelerated failure time model specifies that the logarithm of the failure time is linearly related to the covariate vector without assuming a parametric error distribution. In this paper, we...

Park, Yuhyun, Tian, Lu, Wei, L.J.

In survival analysis, the event time T is often subject to dependent censorship. Without assuming a parametric model between the failure and censoring times, the parameter Θ of interest, for...

The Optimal Confidence Region for a Random Parameter (2004)

The Optimal Confidence Region for a Random Parameter (2004)

Under a two-level hierarchical model, suppose that the distribution of the random parameter is known or can be estimated well. Data are generated via a fixed, but unobservable realization of this...

The Optimal Confidence Region for a Random Parameter (2004)

Under a two-level hierarchical model, suppose that the distribution of the random parameter is known or can be estimated well. Data are generated via a fixed, but unobservable realization of this...

The Optimal Confidence Region for a Random Parameter (2004)

Under a two-level hierarchical model, suppose that the distribution of the random parameter is known or can be estimated well. Data are generated via a fixed, but unobservable realization of this...

One- and Two-Sample Nonparametric Inference Procedures in the Presence of Dependent Censoring (2004)

Under a two-level hierarchical model, suppose that the distribution of the random parameter is known or can be estimated well. Data are generated via a fixed, but unobservable realization of this...

One- and Two-Sample Nonparametric Inference Procedures in the Presence of Dependent Censoring (2004)

One- and Two-Sample Nonparametric Inference Procedures in the Presence of Dependent Censoring (2004)

One- and Two-Sample Nonparametric Inference Procedures in the Presence of Dependent Censoring (2004)

Statistical inference based on non-smooth estimating functions (2004)

Tian, L., Liu, J., Zhao, Y., Wei, L. J.

When the estimating function for a vector of parameters is not smooth, it is often rather difficult, if not impossible, to obtain a consistent estimator by solving the corresponding estimating...

Estimating Predictors for Long- Or Short-Term Survivors (2003)

Estimating Predictors for Long- Or Short-Term Survivors (2003)

Estimating Predictors for Long- Or Short-Term Survivors (2003)

Estimating Predictors for Long- Or Short-Term Survivors (2003)

Statistical Inference for Infinite Dimensional Parameters Via Asymptotically Pivotal Estimating Functions (2003)

Statistical Inference for Infinite Dimensional Parameters Via Asymptotically Pivotal Estimating Functions (2003)

Statistical Inference for Infinite Dimensional Parameters Via Asymptotically Pivotal Estimating Functions (2003)

Statistical Inference for Infinite Dimensional Parameters Via Asymptotically Pivotal Estimating Functions (2003)

Semi-parametric Box-Cox Power Transformation Models for Censored Survival Observations (2003)

Semi-parametric Box-Cox Power Transformation Models for Censored Survival Observations (2003)

Semi-parametric Box-Cox Power Transformation Models for Censored Survival Observations (2003)

Semi-parametric Box-Cox Power Transformation Models for Censored Survival Observations (2003)

STATISTICAL INFERENCES BASED ON NON-SMOOTH ESTIMATING FUNCTIONS (2003)

STATISTICAL INFERENCES BASED ON NON-SMOOTH ESTIMATING FUNCTIONS (2003)

STATISTICAL INFERENCES BASED ON NON-SMOOTH ESTIMATING FUNCTIONS (2003)

STATISTICAL INFERENCES BASED ON NON-SMOOTH ESTIMATING FUNCTIONS (2003)

On the Cox Model with Time-Varying Regression Coefficients (2003)

On the Cox Model with Time-Varying Regression Coefficients (2003)

On the Cox Model with Time-Varying Regression Coefficients (2003)

On the Cox Model with Time-Varying Regression Coefficients (2003)

Rank-based inference for the accelerated failure time model (2003)

Jin, Zhezhen, Lin, D. Y., Wei, L. J., Ying, Zhiliang

A broad class of rank‐based monotone estimating functions is developed for the semiparametric accelerated failure time model with censored observations. The corresponding estimators can be...

Estimating subject-specific survival functions under the accelerated failure time model (2003)

Park, Yuhyun, Wei, L. J.

We use the semiparametric accelerated failure time model to predict the survival function and its related quantities for future subjects with a given set of covariates. We derive the...

Combining dependent tests for linkage or association across multiple phenotypic traits (2003)

Xu, Xin, Tian, Lu, Wei, L. J.

A robust statistical method to detect linkage or association between a genetic marker and a set of distinct phenotypic traits is to combine univariate trait‐specific test statistics for a more...

Interval Estimation after Sequential Testing for the Mean of the Exponential Distribution in the Large Sample Case. (2002)

Padgett,W. J., Wei,L. J.

Let m items be put on test at the outset, and suppose an item is not replaced upon failure. Assume an exponential failure distribution F sub Theta (t) = 1 - exp(-t/Theta). A time truncated sequential...

Conditionally Distribution-Free Test for Censored Bivariate Observations. (2002)

Padgett ,W. J., Wei,L. J.

A conditionally distribution-free test is proposed for testing the symmetry of a bivariate distribution function with observations which are subject to arbitrary right censorship. In a numerical...

A Bayesian Nonparametric Estimator of Survival Probability Assuming Increasing Failure Rate. (2002)

Padgett ,W. J., Wei,L. J.

Bayesian nonparametric estimators of the survival function, the failure rate function, and the density function are obtained using jump processes as prior distributions on the space of increasing...

Maximum Likelihood Estimation of a Distribution Function with Monotone Failure Rate Based on Censored Observations. (2002)

Padgett ,W. J., Wei,L. J.

The maximum likelihood estimator of a distribution function with monotone failure rate is derived based on a set of observations subject to arbitrary right censorship. This estimator is defined...

Nonparametric Bayes Estimation of Distribution Functions and the Study of Probability Density Estimates. (2002)

Padgett,W. J., Taylor,R. L., Wei,L. J.

In work under this grant, major results were obtained in the four broad areas of survival analysis and life testing, probability density estimates and laws of large numbers, estimation after testing,...

Estimation of the Ratio of Scale Parameters in the Two Sample Problem with Arbitrary Right Censorship. (2002)

Padgett,W. J., Wei,L. J.

A two-sample version of the Cramer-von Mises statistic for right censored observations is used to obtain an estimator of the ratio of scale parameters of two distributions. It is shown that this...

Nonparametric Bayes Estimation of Distribution Functions and the Study of Probability Density Estimates. (2002)

Padgett,W. J., Taylor,R. L., Wei,L. J.

In work under this contract, major results were obtained in the broad areas of survival analysis and life testing, probability density estimates and laws of large numbers, estimation after testing,...

A simple resampling method by perturbing the minimand (2001)

Jin, Zhezhen, Ying, Zhiliang, Wei, L. J.

Suppose that under a semiparametric setting an estimator of a vector of parameters of interest is obtained by optimising an objective function which has a U‐process structure. The covariance...

Semiparametric regression analysis for clustered failure time data (2000)

Cai, T., Wei, L. J., Wilcox, M.

Inference procedures based on the partial likelihood function for the Cox proportional hazards model have been generalised to the case in which the data consist of a large number of independent small...

Further Studies in Estimation of Probability Distributions and Related Functions. (1998)

Padgett,W. J., Taylor,R. L., Wei,L. J.

The research papers that have been written under this grant include parametric and nonparametric estimators of survival, density, and failure rate functions for arbitrarily right-censored data as...

Accelerated failure time models for counting processes (1998)

LIN, D. Y., WEI, L. J., YING, ZHILIANG

We present a natural extension of the conventional accelerated failure time model for survival data to formulate the effects of covariates on the mean function of the counting process for recurrent...

Analysis of incomplete repeated measurements with dependent censoring times (1998)

YAO, Q., WEI, L. J., HOGAN, J. W.

A frequently encountered complication in repeated-measurements data analysis is that a substantial number of subjects drop out of the study. In this paper, several conceptually simple methods are...

An overview of statistical methods for multiple failure time data in clinical trials (1997)

L. J. Wei, V. Glidden

In a long term clinical trial to evaluate a new treatment, quite often each study subject may experience a number of ‘failures ’ that correspond to repeated occurrences of the same type of event...

Comparing two failure time distributions in the presence of dependent censoring (1996)

LIN, D. Y., ROBINS, J. M., WEI, L. J.

In a randomised clinical trial to compare two groups of patients, suppose that the time to disease occurrence, the major response variable, may be subject to dependent censoring by death or...

Analysis of transformation models with censored data (1995)

CHENG, S. C., WEI, L. J., YING, Z.

In this paper we consider a class of semi-parametric transformation models, under which an unknown transformation of the survival time is linearly related to the covariates with various completely...

Confidence bands for survival curves under the proportional: Hazards model (1994)

Interim analyses based on median survival times (1994)

In this paper, we show how to construct simultaneous confidence bands for the subject-specific survival curve under the Cox proportional hazards model. The idea is to approximate the distribution of...

KEANEY, K. M., WEI, L. J.

For a typical two-arm survival study, analyses are usually performed periodically to evaluate, for example, the treatment difference. In this paper, we propose to use differences or ratios of...

A resampling method based on pivotal estimating functions (1994)

PARZEN, M. I., WEI, L. J., YING, Z.

Suppose that, under a semiparametric model setting, one is interested in drawing inferences about a finite-dimensional parameter vector β based on an estimating function. Generally a consistent...

Checking the Cox model with cumulative sums of martingale-based residuals (1993)

LIN, D. Y., WEI, L. J., YING, Z.

This paper presents a new class of graphical and numerical methods for checking the adequacy of the Cox regression model. The procedures are derived from cumulative sums of martingale-based...

Prediction of survival probability based on a linear regression model (1992)

YING, Z., WEI, L. J., LIN, J. S.

After fitting survival data with a linear regression model, it is important to know how to use the results to make prediction of the t-year survival probability or median failure time for future...

Permutation tests following restricted randomization procedures (1990)

Lachin, John M., Matts, John P., Wei, L. J.

Peer Reviewed

Linear regression analysis of censored survival data based on rank tests (1990)

WEI, L. J., YING, Z., LIN, D. Y.

Recently linear rank statistics with censored data have been used as the estimating functions for the regression parameters in the linear model with an unspecified error distribution. The resulting...

Interim analyses with repeated measurements in a sequential clinical trial (1990)

WEI, L. J., SU, JOHN Q., LACHIN, JOHN M.

In comparing two treatments, suppose that patients are available for the study sequentially. Repeated measurements of the same characteristic are collected serially over time for each study patient....

Discussion of paper by C. B. Begg (1990)

Interval estimation with restricted randomization rules (1989)

WEI, L. J., SMYTHE, R. T., MEHTA, C. R.

In comparing two treatments in a clinical trial, suppose that patients are assigned sequentially to treatments by a restricted randomization rule. Exact and approximate confidence intervals for...

Properties of the urn randomization in clinical trials (1988)

Wei, L. J., Lachin, John M.

In this article we review the important statistical properties of the urn randomization (design) for assigning patients to treatment groups in a clinical trial. The urn design is the most widely...

Randomization in clinical trials: Conclusions and recommendations (1988)

Lachin, John M., Matts, John P., Wei, L. J.

The statistical properties of simple (complete) randomization, permuted-block (or simply blocked) randomization, and the urn adaptive biased-coin randomization are summarized. These procedures are...

Constructing exact significance tests with restricted randomization rules (1988)

MEHTA, CYRUS R., PATEL, NITIN R., WEI, L. J.

In a clinical trial comparing two treatments, suppose that subjects are assigned sequentially to the treatment groups by a restricted randomization rule. Under the randomization model, an efficient...

Exact two-sample permutation tests based on the randomized play-the-winner rule (1988)

Significance tests with restricted randomization design (1983)

In comparing two treatments in a clinical trial, the randomized play-the-winner rule tends to assign more study subjects to the better treatment. It is applicable when patients have delayed responses...

SMYTHE, R. T., WEI, L. J.

Experimental subjects are assigned to one of two treatments sequentially by restricted randomization assignment rules. Significance tests generated from these rules are discussed. Under rather mild...

'Interval estimation of location difference with incomplete data' (1983)

Interval estimation of location difference with incomplete data (1982)

Biometrika (1982), 69, 249–31

Estimation of the ratio of scale parameters in the two sample problem with arbitrary right censorship (1982)

An asymptotically distribution-free confidence interval for the location difference of two correlated variables with incomplete data on both responses is proposed. The confidence limit has an...

PADGETT, W. J., WEI, L. J.

A two-sample version of the Cram�r-von Mises statistic for right censored observations is used to obtain a strongly consistent estimator of the ratio of scale parameters of two distributions. This...

Estimation of location difference for fragmentary samples (1981)

Maximum likelihood estimation of a distribution function with increasing failure rate based on censored observations (1980)

A class of simple and robust estimators of the difference between location parameters of correlated variables is proposed when some observations on either of the variables are missing. We show that...

PADGETT, W. J., WEI, L. J.

The maximum likelihood estimator of a distribution function with increasing failure rate is derived based on a set of observations subject to arbitrary right censorship. This estimator is defined...

On the random allocation design for the control of selection bias in sequential experiments (1978)

A Unified Haseman-Elston Method for Testing Linkage with Quantitative Traits

In comparing two treatments, suppose that eligible subjects come to the experiment sequentially and must be treated immediately. In this paper we assume that the experimenter selects 2n subjects and...

Xu, Xin, Weiss, Scott, Xu, Xiping, Wei, L. J.

The Haseman and Elston (H-E) method uses a simple linear regression to model the squared trait difference of sib pairs with the shared allele identical by descent (IBD) at marker locus for linkage...

A Unified Haseman-Elston Method for Testing Linkage with Quantitative Traits

Xu, Xin, Weiss, Scott, Xu, Xiping, Wei, L. J.

The Haseman and Elston (H-E) method uses a simple linear regression to model the squared trait difference of sib pairs with the shared allele identical by descent (IBD) at marker locus for linkage...

Regression analysis of panel count data with covariate-dependent observation and censoring times

J. Sun, L. J. Wei

Semiparametric regression for the mean and rate functions of recurrent events

D. Y. Lin, L. J. Wei, I. Yang, Z. Ying

On the Cox Model With Time-Varying Regression Coefficients

Lu Tian, David Zucker, L.J. Wei

The Optimal Confidence Region for a Random Parameter

Hajime Uno, Lu Tian, L.J. Wei

Under a two-level hierarchical model, suppose that the distribution of the random parameter is known or can be estimated well. Data are generated via a fixed, but unobservable realization of this...

One- and Two-Sample Nonparametric Inference Procedures in the Presence of Dependent Censoring

Yuhyun Park, Lu Tian, L. J. Wei

Competing risks; Martingale; Simultaneous confidence interval; Sensitivity analysis; Survival analysis,

Estimating Predictors for Long- Or Short-Term Survivors

Lu Tian, Wei Wang, L. J. Wei

Breslow estimate, calibration, censoring, Cox proportional hazards model, pharmacogenomics, prediction,

Statistical Inference for Infinite Dimensional Parameters Via Asymptotically Pivotal Estimating Functions

Meredith Goldwasser, Lu Tian, L. J. Wei

Confidence band, estimating equation, Gaussian process, pivotal quantity, quantile regression, survival analysis,

Semi-parametric Box-Cox Power Transformation Models for Censored Survival Observations

Tianxi Cai, Lu Tian, L. J. Wei

STATISTICAL INFERENCES BASED ON NON-SMOOTH ESTIMATING FUNCTIONS

Lu Tian, Jun Liu, Mary Zhao, L. J. Wei

On the Cox Model with Time-Varying Regression Coefficients

Lu Tian, David Zucker, L. J. Wei

Confidence band; Kernel estimations; Martingale; Model checking and selection; Partial likelihood; Prediction; Survival analysis,

Evaluating Prediction Rules for t-Year Survivors With Censored Regression Models