Publications

Corresponding author † Student/supervisee Open access

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2026

Win ratio for partially ordered data

Mao, L.

Statistica Sinica, 2026, 36, 2077-2096.

R package: poset

Predicting win-loss probabilities for composite time-to-event outcomes under the proportional win-fractions regression model

Mao, L.

Statistics in Medicine, 2026, 45, e70569.

2025

Evaluating treatment effects with patient-response–related outcomes in comparative clinical trials

Mao, L., Tian, L., Huang, B., Richardson, P.G., Ludmir, E.B., Hughes, M.D., and Wei, L.-J.,

NEJM Evidence, 2025, 4, EVIDctw2400349.

Approximating win-loss probabilities based on the overall and event-free survival functions

Mao, L.

Statistics & Probability Letters, 2025, 226, 110478.

Website: WinKM Presentation

Regularized win ratio regression for variable selection and risk prediction, with an application to a cardiovascular trial

Mao, L.

BMC Medical Research Methodology, 2025, 25, 102.

Website: WRNet Presentation

2024

Robust improvement of efficiency using information on covariate distribution

Mao, L.

Electronic Journal of Statistics, 2024, 18, 4640-4666.

Defining estimand for the win ratio: separate the true effect from censoring

Mao, L.

Clinical Trials, 2024, 21, 584-594.

Presentation

Inferences for the distribution of the duration of response in a comparative clinical study

Cui, Y., Huang, B., Mao, L., Uno, H., Wei, L.-J., and Tian, L.

Clinical Trials, 2024, 21, 541-552.

Wilcoxon–Mann–Whitney statistics in randomized trials with non-compliance

Mao, L.

Electronic Journal of Statistics, 2024, 18, 465-489.

An earlier version of this manuscript won the 2019 IMS New Researcher Travel Award

Dissecting the restricted mean time in favor of treatment

Mao, L. and Wang, T.†

Journal of Biopharmaceutical Statistics, 2024, 34, 111-126.

Statistical inference for time-to-event data in non-randomized cohorts with selective attrition

Wang, T.†, Mao, L., Cocco, A., and Kim, K.

Statistics in Medicine, 2024, 43, 216-232.

2023

Study design for restricted mean time analysis of recurrent events and death

Mao, L.

Biometrics, 2023, 79, 3701-3714.

R package: rmt

Nonparametric inference of general while-alive estimands for recurrent events

Mao, L.

Biometrics, 2023, 79, 1749-1760.

Presentation R package: WA

Power and sample size calculations for the restricted mean time analysis of prioritized composite endpoints

Mao, L.

Statistics in Biopharmaceutical Research, 2023, 15, 540-548.

R package: rmt

On restricted mean time in favor of treatment

Mao, L.

Biometrics, 2023, 79, 61-72.

Presentation R package: rmt

2022

Nonparametric inference of complier quantile treatment effects in randomized trials with imperfect compliance

Mao, L.

Biostatistics & Epidemiology, 2022, 6, 249-265.

Marginal semiparametric transformation models for clustered multivariate competing risks data

He, Y., Kim S., Mao, L., and Ahn, K.W.

Statistics in Medicine, 2022, 41, 5349-5364.

Stratified proportional win-fractions regression analysis

Wang, T.† and Mao, L.

Statistics in Medicine, 2022, 41, 5305-5318.

R package: WR

Sample size formula for general win ratio analysis

Mao, L. , Kim, K., and Miao, X.†

Biometrics, 2022, 78, 1257-1268.

R package: WR

Identification of the outcome distribution and sensitivity analysis under weak confounder-instrument interaction

Mao, L.

Statistics & Probability Letters, 2022, 189, 109590.

On the relative efficiency of intent-to-treat Wilcoxon–Mann–Whitney test in the presence of non-compliance

Mao, L.

Biometrika, 2022, 109, 873-880.

On recurrent-event win ratio

Mao, L. , Kim, K., and Li, Y.†

Statistical Methods in Medical Research, 2022, 31, 1120-1134.

Presentation R package: WR

2021

A class of proportional win-fractions regression models for composite outcomes

Mao, L. and Wang, T.†

Biometrics, 2021, 77, 1265-1275.

Presentation R package: WR

Statistical models for composite endpoints of death and non-fatal events: a review

Mao, L. and Kim, K.

Statistics in Biopharmaceutical Research, 2021, 13, 260-269.

Robust estimation and variable selection for the accelerated failure time model

Li, Y.†, Liang, M., Mao, L. , and Wang, S.

Statistics in Medicine, 2021, 40, 4473-4491.

2020

A unified approach to the calculation of information operators in semiparametric models

Mao, L.

Biometrika, 2020, 107, 983-995.

The inverse-probability-of-censoring weighting (IPCW) adjusted win ratio statistic: an unbiased estimator in the presence of independent censoring

Dong, G., Mao, L., Huang, B., Gamalo-Siebers, M., Wang, J., Yu, G., and Hoaglin, D.

Journal of Biopharmaceutical Statistics, 2020, 30, 882-899.

2019

Proportional hazards regression of survival-sacrifice data with cause-of-death information in animal carcinogenicity studies

Mao, L.

Statistics in Medicine, 2019, 38, 3628-3641.

Nonparametric inference on tumor incidence with partially identified cause-of-death data

Mao, L.

In: L. Zhang et al. (eds) Contemporary Biostatistics with Biopharmaceutical Applications, 2019, pp 3-18, Springer.

Nonparametric identification and estimation of current status data in the presence of death

Mao, L.

Statistica Neerlandica, 2019, 73, 395-413.

On the alternative hypotheses for the win ratio

Mao, L.

Biometrics, 2019, 75, 347-351.

2018

On causal estimation using U-statistics

Mao, L.

Biometrika, 2018, 105, 215-220.

Presentation

2017

Semiparametric regression analysis of interval-censored competing risks data

Mao, L., Lin, D.Y., and Zeng, D.

Biometrics, 2017, 73, 857–865.

An earlier version of this manuscript won the 2016 ASA Biometrics Section Travel Award and the 2016 ENAR RAB Poster Award

Efficient estimation in semiparametric transformation models for the cumulative incidence of competing risks

Mao, L. and Lin, D.Y.

Journal of the Royal Statistical Society, Series B, 2017, 79, 573–587.

An earlier version of this manuscript won the 2015 ENAR Distinguished Student Paper Award

2016

Maximum likelihood estimation for semiparametric transformation models with interval-censored data

Zeng, D., Mao, L., and Lin, D.Y.

Biometrika, 2016, 103, 253-271.

Semiparametric regression for the weighted composite endpoint of recurrent and terminal events

Mao, L. and Lin, D.Y.

Biostatistics, 2016, 17, 390-403.

An earlier version of this manuscript won the 2015 ASA Biopharmaceutical Section Student Paper Award

2015 and before

Alternative views on setting clinical trial futility criteria

Gallo, P., Mao, L., and Shih, V.H.

Journal of Biopharmaceutical Statistics, 2014, 24, 976-993.