X. Tu

发表

Modelling progression of CD4-lymphocyte count and its relationship to survival time.

V. De Gruttola, X. Tu, V. Gruttola, 1994, Biometrics.

On the informativeness and accuracy of pooled testing in estimating prevalence of a rare disease: Application to HIV screening

Marcello Pagano, M. Pagano, X. Tu, 1995 .

Bayesian inference on prevalence using a missing-data approach with simulation-based techniques: applications to HIV screening.

X. Tu, J. Mendoza-Blanco, S. Iyengar, 1996, Statistics in medicine.

Screening for the Presence of a Disease by Pooling Sera Samples

Marcello Pagano, Xin M. Tu, M. Pagano, 1994 .

Pediatric AIDS in New York City: Estimating the Distributions of Infection, Latency, and Reporting Delay and Projecting Future Incidence

Marcello Pagano, Victor DeGruttola, M. Pagano, 1992 .

Generalized covariance‐adjusted canonical correlation analysis with application to psychiatry

E. Frank, X. Tu, M. Perlis, 2003, Statistics in medicine.

Bayesian regression analysis of data with censored initiating and terminating times: applications to aids

S. Bacanu, X. Tu, J. Kowalski, 2000 .

Modeling The Relationship Between Progression Of CD4-Lymphocyte Count And Survival Time

Victor DeGruttola, V. DeGruttola, X. Tu, 1992 .

A new look at the difference between the GEE and the GLMM when modeling longitudinal count responses

X. Tu, C. Feng, D. Gunzler, 2012 .

Data recycling: A response to the changing technology from the statistical perspective with application to psychiatric sleep research

Daniel J Buysse, D. Kupfer, P. Houck, 2001 .

On Semiparametric Efficiency of an Emerging Class of Regression Models for Between-subject Attributes

X. Tu, Jinyuan Liu, Xinlian Zhang, 2022, 2205.08036.

The HIV Epidemic in New York City; Statistical Methods for Projecting AIDS Incidence and Prevalence

M. Pagano, X. Tu, V. Gruttola, 1992 .

Modern variable selection for longitudinal semi-parametric models with missing data

Chang-Xue Feng, J. Liu, X. Tu, 2018 .

Power analyses for longitudinal trials and other clustered designs

X M Tu, J Kowalski, K. Lynch, 2004, Statistics in medicine.

A comparative meta-analysis on the variability in test performance among FDA-licensed enzyme immunosorbent assays for HIV antibody testing.

X M Tu, J Kowalski, M Pagano, 2001, Journal of clinical epidemiology.

Bayesian analysis of prevalence with covariates using simulation-based techniques: applications to HIV screening.

X M Tu, J Kowalski, G Jia, 1999, Statistics in medicine.

Studies of AIDS and HIV surveillance. Screening tests: can we get more by doing less?

X M Tu, M Pagano, M. Pagano, 1994, Statistics in medicine.

Modeling sensitivity and specificity with a time-varying reference standard within a longitudinal setting

Hui Zhang, Yan Ma, Xin Tu, 2010 .

Comparing multiple sensitivities and specificities with different diagnostic criteria: Applications to sexual abuse and sexual health research

W. Tang, Q. Yu, Y. Ma, 2008, Comput. Stat. Data Anal..

Algorithm AS 315: An Algorithm for Sampling the Degrees of Freedom in Bayesian Analysis of Linear Regressions with t‐distributed Errors

Xin Tu, X. Tu, J. Mendoza-Blanco, 1997 .

Issues in human immunodeficiency virus (HIV) screening programs.

X M Tu, M Pagano, M. Pagano, 1992, American journal of epidemiology.

Extending the Mann‐Whitney‐Wilcoxon rank sum test to survey data for comparing mean ranks

X. Tu, Jinyuan Liu, Tuo Lin, 2021, Statistics in medicine.

Distribution‐free models for longitudinal count responses with overdispersion and structural zeros

X M Tu, R. Gallop, X. Tu, 2013, Statistics in medicine.

Multivariate U‐statistics: a tutorial with applications

X. M. Tu, Jeanne Kowalski, W. Tang, 2011 .

Bias resulting from the use of ‘assay sensitivity’ as an inclusion criterion for meta‐analysis

R. DeRubeis, D. Strunk, L. Gelfand, 2006, Statistics in medicine.

A Class of Distribution-Free Models for Longitudinal Mediation Analysis

P Wu, D Gunzler, W Tang, 2014, Psychometrika.

Modern Applied U-Statistics

Jeanne Kowalski, Xin Tu, X. Tu, 2007 .

On assessing model fit for distribution‐free longitudinal models under missing data

P Wu, X M Tu, J Kowalski, 2014, Statistics in medicine.

A comparison of several approaches for choosing between working correlation structures in generalized estimating equation analysis of longitudinal binary data

Xin Tu, Justine Shults, Wenguang Sun, 2009, Statistics in medicine.

On The Violation Of Bounds For The Correlation In Generalized Estimating Equation Analyses Of Binary Data From Longitudinal Trials

Wenguang Sun, J. Amsterdam, J. Shults, 2006 .

Causal inference for Mann–Whitney–Wilcoxon rank sum and other nonparametric statistics

X M Tu, X. Tu, P Wu, 2014, Statistics in medicine.

Correlation analysis for longitudinal data: applications to HIV and psychosocial research

X M Tu, J Kowalski, C Feng, 2007, Statistics in medicine.

Power analysis for cross-sectional and longitudinal study designs

Tian CHEN, Xin M. TU, Naiji LU, 2013, Shanghai archives of psychiatry.

Modeling longitudinal binomial responses: implications from two dueling paradigms

Hui Zhang, Yinglin Xia, Xin Tu, 2011 .

On performance of parametric and distribution‐free models for zero‐inflated and over‐dispersed count responses

Tian Chen, Naiji Lu, Xin M Tu, 2015, Statistics in medicine.

Functional response models for intraclass correlation coefficients

Tian Chen, Hui Zhang, Xin Tu, 2014 .

On testing proportional odds assumptions for proportional odds models

X. Tu, Hua He, Wan Tang, 2023 .

Nonparametric Estimation of Survival Distributions with Censored Initiating Time, and Censored and Truncated Terminating Time: Application to Transfusion Data for Acquired Immune Deficiency Syndrome

X. Tu, Xin Ming Tu, 1995 .

Causal Inference: A Statistical Paradigm for Inferring Causality

Tian Chen, Xin Tu, Pan Wu, 2016 .

Causal Mediation Analysis Using Structure Equation Models

Xin Tu, Nathan Morris, Douglas D Gunzler, 2016 .

Regression analysis of censored and truncated data: estimating reporting-delay distributions and AIDS incidence from surveillance data.

X M Tu, M Pagano, V De Gruttola, 1994, Biometrics.

Clustered Study Designs: Power Analysis

J. Kowalski, J. Zhang, C. Feng, 2018 .

The AIDS Epidemic: Estimating Survival After AIDS Diagnosis From Surveillance Data

Xiao-Li Meng, Marcello Pagano, M. Pagano, 1993 .

Generalized covariance-adjusted discriminants: perspective and application.

X M Tu, J Kowalski, T H Monk, 1997, Biometrics.

Power analyses for longitudinal study designs with missing data

X M Tu, J Kowalski, Wenguang Sun, 2007, Statistics in medicine.

A semiparametric model for between‐subject attributes: Applications to beta‐diversity of microbiome data

Chang-Xue Feng, L. Natarajan, T. Kosciólek, 2021, Biometrics.

Power analysis for cluster randomized trials with binary outcomes modeled by generalized linear mixed-effects models

Tian Chen, Jyoti Kumar Arora, Yinglin Xia, 2016 .

Models for surveillance data under reporting delay: applications to US veteran first-time suicide attempters

Naiji Lu, Hua He, Yinglin Xia, 2015 .

A Class of Distribution-Free Models for Longitudinal Mediation Analysis

X. Tu, D. Gunzler, P. Wu, 2013, Psychometrika.

Regression analysis of data with repeated measurements using the method of successive differences

Robert E. Albright, Xin M. Tu, D. Burdick, 1993 .

Trend analysis with response incompatible formats and measurement error

Jeanne Kowalski, Xin Tu, X. Tu, 2003 .

On the rate of convergence of the ECME algorithm for multiple regression models with t-distributed errors

X. Tu, J. Kowalski, J. Mendoza-Blanco, 1997 .

Modeling Concordance Correlation Coefficient for Longitudinal Study Data

Wan Tang, Xin Tu, Yan Ma, 2010 .

Extending the Mann–Whitney–Wilcoxon rank sum test to longitudinal regression analysis

Tian Chen, Changyong Feng, Naiji Lu, 2014 .