Lu Tian

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.

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...

Biometrika (2007), pp. 1–18 doi: 10.1093/biomet/asm078 C ○ 2007 Biometrika Trust Printed in Great Britain (2007)

Lu Tian, Scott D. Solomon

Predicting future responses based on possibly mis-specified working models

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)

Resource allocation in streaming environments (2006)

Resource allocation in streaming environments (2006)

The proliferation of the Internet and sensor networks has fueled the development of applications that process, analyze, and react to continuous data streams in a near-real-time manner. Examples of...

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

The proliferation of the Internet and sensor networks has fueled the development of applications that process, analyze, and react to continuous data streams in a near-real-time manner. Examples of...

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...

Resource allocation in streaming environments (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...

Lu Tian, K. Mani Ch

Abstract — This paper considers resource allocation algorithms for processing streams of events on computational grids. For example, financial trading applications are executed on large...

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

On the accelerated failure time model for current status and interval censored data (2006)

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...

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

This paper introduces a novel approach to making inference about the regression parameters in the accelerated failure time model for current status and interval censored data. The estimator is...

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...

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)

The optimal confidence region for a random parameter (2005)

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...

On the Accelerated Failure Time Model for Current Status and Interval Censored Data (2004)

On the Accelerated Failure Time Model for Current Status and Interval Censored Data (2004)

This paper introduces a novel approach to making inference about the regression parameters in the accelerated failure time (AFT) model for current status and interval censored data. The estimator is...

On the Accelerated Failure Time Model for Current Status and Interval Censored Data (2004)

This paper introduces a novel approach to making inference about the regression parameters in the accelerated failure time (AFT) model for current status and interval censored data. The estimator is...

On the Accelerated Failure Time Model for Current Status and Interval Censored Data (2004)

This paper introduces a novel approach to making inference about the regression parameters in the accelerated failure time (AFT) model for current status and interval censored data. The estimator is...

The Optimal Confidence Region for a Random Parameter (2004)

This paper introduces a novel approach to making inference about the regression parameters in the accelerated failure time (AFT) model for current status and interval censored data. The estimator is...

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...

Arabidopsis thaliana histone deacetylase 1 (AtHD1) and epigenetic regulation (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...

Arabidopsis thaliana histone deacetylase 1 (AtHD1) and epigenetic regulation (2004)

Epigenetic regulation is a mechanism by which heritable changes in gene expression are controlled by chromatin status rather than primary DNA sequence. Changes in chromatin structure affect...

Arabidopsis thaliana histone deacetylase 1 (AtHD1) and epigenetic regulation (2004)

Epigenetic regulation is a mechanism by which heritable changes in gene expression are controlled by chromatin status rather than primary DNA sequence. Changes in chromatin structure affect...

Arabidopsis thaliana histone deacetylase 1 (AtHD1) and epigenetic regulation (2004)

Epigenetic regulation is a mechanism by which heritable changes in gene expression are controlled by chromatin status rather than primary DNA sequence. Changes in chromatin structure affect...

Arabidopsis thaliana histone deacetylase 1 (AtHD1) and epigenetic regulation (2004)

Epigenetic regulation is a mechanism by which heritable changes in gene expression are controlled by chromatin status rather than primary DNA sequence. Changes in chromatin structure affect...

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

Epigenetic regulation is a mechanism by which heritable changes in gene expression are controlled by chromatin status rather than primary DNA sequence. Changes in chromatin structure affect...

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)

Novel amphiphilic macromolecules for drug delivery applications : design, synthesis and characterization / (2004)

Tian, Lu.

"Graduate Program in Chemistry."

Comparative analysis of gene sets in the gene ontology space under the multiple hypothesis testing framework (2004)

Sheng Zhong, Lu Tian, Cheng Li, Kai-florian Storch, Wing H. Wong

The Gene Ontology (GO) resource can be used as a powerful tool to uncover the properties shared among, and specific to, a list of genes produced by high-throughput functional genomics studies, such...

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)

Arabidopsis thaliana histone deacetylase 1 (AtHD1) and epigenetic regulation (2003)

Arabidopsis thaliana histone deacetylase 1 (AtHD1) and epigenetic regulation (2003)

Epigenetic regulation is a mechanism by which heritable changes in gene expression are controlled by chromatin status rather than primary DNA sequence. Changes in chromatin structure affect...

Arabidopsis thaliana histone deacetylase 1 (AtHD1) and epigenetic regulation (2003)

Epigenetic regulation is a mechanism by which heritable changes in gene expression are controlled by chromatin status rather than primary DNA sequence. Changes in chromatin structure affect...

Arabidopsis thaliana histone deacetylase 1 (AtHD1) and epigenetic regulation (2003)

Epigenetic regulation is a mechanism by which heritable changes in gene expression are controlled by chromatin status rather than primary DNA sequence. Changes in chromatin structure affect...

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

Epigenetic regulation is a mechanism by which heritable changes in gene expression are controlled by chromatin status rather than primary DNA sequence. Changes in chromatin structure affect...

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...

Trade liberalization and China's food security / (2002)

Tian, Lu.

Thesis (M.A.)--University of Wyoming, 2002.

Linking gene expression data with patient survival times using partial least squares (2002)

Park, Peter J., Tian, Lu, Kohane, Isaac S.

There is an increasing need to link the large amount of genotypic data, gathered using microarrays for example, with various phenotypic data from patients. The classification problem in which gene...

Beiträge zur globalen Bildverarbeitung im Transformationsbereich : Transformation, Skalierung, Filterung / (1995)

Tian, Lu.

Berlin, Humboldt-Universiẗat, Diss., 1995.

Branching bisimulation for context-free processes (1992)

Caucal, Didier, Huynh, Dung, Tian, Lu

The branching bisimulation defined by Van Glabbeek and Weijland takes care of preserving the branching structure of processes even though silent actions are taken. Branching bisimulation is obviously...

Branching bisimulation for context-free processes (1992)

Caucal, Didier, Huynh, Dung, Tian, Lu

The branching bisimulation defined by Van Glabbeek and Weijland takes care of preserving the branching structure of processes even though silent actions are taken. Branching bisimulation is obviously...

Blocking histone deacetylation in Arabidopsis induces pleiotropic effects on plant gene regulation and development

Tian, Lu, Chen, Z. Jeffrey

Histone acetylation and deacetylation play essential roles in eukaryotic gene regulation. Reversible modifications of core histones are catalyzed by two intrinsic enzymes, histone acetyltransferase...

Discovering statistically significant pathways in expression profiling studies

Tian, Lu, Greenberg, Steven A., Kong, Sek Won, Altschuler, Josiah, Kohane, Isaac S., Park, Peter J.

Accurate and rapid identification of perturbed pathways through the analysis of genome-wide expression profiles facilitates the generation of biological hypotheses. We propose a statistical framework...

Reversible Histone Acetylation and Deacetylation Mediate Genome-Wide, Promoter-Dependent and Locus-Specific Changes in Gene Expression During Plant Development

Tian, Lu, Fong, M. Paulus, Wang, Jiyuan J., Wei, Ning E., Jiang, Hongmei, Doerge, R. W., ...

Histone acetylation and deacetylation activate or repress transcription, yet the physiological relevance of reversible changes in chromatin structure and gene expression is poorly understood. We have...

Genomewide Nonadditive Gene Regulation in Arabidopsis Allotetraploids

Wang, Jianlin, Tian, Lu, Lee, Hyeon-Se, Wei, Ning E., Jiang, Hongmei, Watson, Brian, ...

Polyploidy has occurred throughout the evolutionary history of all eukaryotes and is extremely common in plants. Reunification of the evolutionarily divergent genomes in allopolyploids creates...

Genetic control of developmental changes induced by disruption of Arabidopsis histone deacetylase 1 (AtHD1) expression.

Tian, Lu, Wang, Jianlin, Fong, M Paulus, Chen, Meng, Cao, Hongbin, Gelvin, Stanton B, ...

Little is known about the role of genetic and epigenetic control in the spatial and temporal regulation of plant development. Overexpressing antisense Arabidopsis thaliana HD1 (AtHD1) encoding a...

Stochastic and epigenetic changes of gene expression in Arabidopsis polyploids.

Wang, Jianlin, Tian, Lu, Madlung, Andreas, Lee, Hyeon-Se, Chen, Meng, Lee, Jinsuk J, ...

Polyploidization is an abrupt speciation mechanism for eukaryotes and is especially common in plants. However, little is known about patterns and mechanisms of gene regulation during early stages of...

Nonadditive Regulation of FRI and FLC Loci Mediates Flowering-Time Variation in Arabidopsis Allopolyploids

Wang, Jianlin, Tian, Lu, Lee, Hyeon-Se, Chen, Z. Jeffrey

Allopolyploidy is formed by combining two or more divergent genomes and occurs throughout the evolutionary history of many plants and some animals. Transcriptome analysis indicates that many genes in...

Blocking histone deacetylation in Arabidopsis induces pleiotropic effects on plant gene regulation and development

Tian, Lu, Chen, Z. Jeffrey

Histone acetylation and deacetylation play essential roles in eukaryotic gene regulation. Reversible modifications of core histones are catalyzed by two intrinsic enzymes, histone acetyltransferase...

Discovering statistically significant pathways in expression profiling studies

Tian, Lu, Greenberg, Steven A., Kong, Sek Won, Altschuler, Josiah, Kohane, Isaac S., Park, Peter J.

Accurate and rapid identification of perturbed pathways through the analysis of genome-wide expression profiles facilitates the generation of biological hypotheses. We propose a statistical framework...

Reversible Histone Acetylation and Deacetylation Mediate Genome-Wide, Promoter-Dependent and Locus-Specific Changes in Gene Expression During Plant Development

Tian, Lu, Fong, M. Paulus, Wang, Jiyuan J., Wei, Ning E., Jiang, Hongmei, Doerge, R. W., ...

Histone acetylation and deacetylation activate or repress transcription, yet the physiological relevance of reversible changes in chromatin structure and gene expression is poorly understood. We have...

Genomewide Nonadditive Gene Regulation in Arabidopsis Allotetraploids

Wang, Jianlin, Tian, Lu, Lee, Hyeon-Se, Wei, Ning E., Jiang, Hongmei, Watson, Brian, ...

Polyploidy has occurred throughout the evolutionary history of all eukaryotes and is extremely common in plants. Reunification of the evolutionarily divergent genomes in allopolyploids creates...

Genetic control of developmental changes induced by disruption of Arabidopsis histone deacetylase 1 (AtHD1) expression.

Tian, Lu, Wang, Jianlin, Fong, M Paulus, Chen, Meng, Cao, Hongbin, Gelvin, Stanton B, ...

Little is known about the role of genetic and epigenetic control in the spatial and temporal regulation of plant development. Overexpressing antisense Arabidopsis thaliana HD1 (AtHD1) encoding a...

Stochastic and epigenetic changes of gene expression in Arabidopsis polyploids.

Wang, Jianlin, Tian, Lu, Madlung, Andreas, Lee, Hyeon-Se, Chen, Meng, Lee, Jinsuk J, ...

Polyploidization is an abrupt speciation mechanism for eukaryotes and is especially common in plants. However, little is known about patterns and mechanisms of gene regulation during early stages of...

Nonadditive Regulation of FRI and FLC Loci Mediates Flowering-Time Variation in Arabidopsis Allopolyploids

Wang, Jianlin, Tian, Lu, Lee, Hyeon-Se, Chen, Z. Jeffrey

Allopolyploidy is formed by combining two or more divergent genomes and occurs throughout the evolutionary history of many plants and some animals. Transcriptome analysis indicates that many genes in...

On the Cox Model With Time-Varying Regression Coefficients

Lu Tian, David Zucker, L.J. Wei

On the Accelerated Failure Time Model for Current Status and Interval Censored Data

Lu Tian, Tianxi Cai

This paper introduces a novel approach to making inference about the regression parameters in the accelerated failure time (AFT) model for current status and interval censored data. The estimator is...

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