Download biographical sketch - Department of Biostatistics

OMB No. 0925-0001/0002 (Rev. 08/12 Approved Through 8/31/2015)
BIOGRAPHICAL SKETCH
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NAME: Li, Yisheng
POSITION TITLE: Associate Professor
eRA COMMONS USER NAME (credential, e.g., agency login): YISHENG
EDUCATION/TRAINING (Begin with baccalaureate or other initial professional education, such as nursing, include postdoctoral training and residency
training if applicable. Add/delete rows as necessary.)
INSTITUTION AND LOCATION
Beijing University, Beijing, China
Zhongshan University, Guangzhou, China
University of Toledo, Toledo, OH
University of Michigan, Ann Arbor, MI
DEGREE
(if applicable)
BS
MS
MS
PHD
Completion Date
MM/YYYY
7/1991
6/1994
8/1998
12/2003
FIELD OF STUDY
Probability & Statistics
Probability & Statistics
Statistics
Biostatistics
A. Personal Statement
I have a broad background in biostatistics, with specific training and expertise in longitudinal data analysis and
study design, Bayesian adaptive clinical trial design, missing data methods, and mediation analysis. I have
served as a co-investigator or primary statistician on over 30 NIH-funded grants in behavioral science, health
disparities research, and clinical trials, including as director of the biostatistics and data management core of a
P60 Center of Excellence Grant, and a key statistical collaborator in a Stand Up To Cancer Dream Team
Translational Research Grant. I have overseen the statistical design, conduct and analysis of various projects,
and assisted in the interpretation of analysis results and preparation of manuscripts.
1. Cofta-Woerpel L, McClure J, Li Y, Urbauer D, Cinciripini PM, Wetter DW. Early cessation success among
women attempting to quit smoking: trajectories and volatility of urge and negative mood during the first
post-cessation week. Journal of Abnormal Psychology 2011; 120(3):596-606. PMCID: PMC3153568.
2. Basen-Engquist K, Carmack CL, Li Y, Brown J, Jhingran A, Hughes DC, Perkins HY, Scruggs S, Harrison
C, Baum G, Bodurka DC, Waters A. Social cognitive theory predictors of exercise behavior in endometrial
cancer survivors. Health Psychol 32(11):1137-48, 11/2013. PMCID: PMC4057057.
3. Mayer IA, Abramson VG, Isakoff SJ, Forero-Torres A, Balko JM, Kuba MG, Sanders ME, Yap JT, Van den
Abbeele AD, Li Y, Cantley LC, Winer E, Arteaga CL. A SU2C phase Ib study of pan-PI3K inhibitor
buparlisib with letrozole in ER+/HER2-negative metastatic breast cancer. Journal of Clinical Oncology
2014; 32(12):1202-1209. PMCID: PMC3986383.
4. Gonzalez-Angulo AM, Krop I, Akcakanat A, Chen H, Liu S, Li Y, Culotta KS, Tarco E, Piha-Paul S,
Moulder-Thompson S, Velez-Bravo V, Sahin A, Doyle LA, Do K-A, Winer EP, Mills GB, Kurzrock R, MericBernstam F. SU2C phase Ib study of paclitaxel and MK-2206 in advanced solid tumors and metastatic
breast cancer. Journal of the National Cancer Institute 2015; 107(3):dju493. PMCID: PMC4342675.
B. Positions and Honors
Positions and Employment
1998-1999
2002
2002
2004-2010
2008
2010
Parke-Davis Pharmaceutical Research (Pfizer Inc.), Ann Arbor, MI, Research Assistant
Wyeth Research, Collegeville, PA, Summer Intern
Boron, Lepore & Associates, Cardinal Health, San Diego, CA, Consultant
Assistant Professor, Department of Biostatistics, Division of Quantitative Sciences, The
University of Texas MD Anderson Cancer Center, Houston, TX
Visiting Assistant Professor, Department of Statistics, Rice University, Houston, TX
Visiting Assistant Professor, Department of Statistics, Rice University, Houston, TX
2010-present Associate Professor, Department of Biostatistics, Division of Quantitative Sciences, The
University of Texas MD Anderson Cancer Center, Houston, TX
Other Experience and Professional Memberships
1999-2002
Research Assistant, University of Michigan, Ann Arbor, MI
2003
Research Assistant, University of Michigan, Ann Arbor, MI
2006-2007
President, Houston Area Chapter, American Statistical Association
2008
Program Committee Member, Joint Statistical Meetings, American Statistical Association
2009
Center for Scientific Review Cancer Biomarkers Study Section -- Special Emphasis Panel #10,
NIH, Internet Assisted Reviewer
2010-present Member of Editorial Board, Journal of Biometrics and Biostatistics
2011-present Associate Editor, BMC Medical Research Methodology
2012-present Associate Editor, The American Statistician
Honors
1988
1992
1994
Merit-award recipient, Beijing University, Department of Probability and Statistics
Merit-award (first prize) recipient, Zhongshan University, Department of Mathematics
Title winner of "Outstanding Graduate Student," Zhongshan University, Department of
Mathematics
2003
Fellowship, University of Michigan, Department of Biostatistics
2007
Travel Award, Current and Future Trends in Nonparametrics conference, Columbia, SC
2008
Early Career Researcher Travel Award, 9th World Meeting of the International Society for
Bayesian Analysis (ISBA), Hamilton Island, Australia, ISBA
2009-present Acceptance into Cambridge Who's Who among Executives, Professionals and Entrepreneurs,
Cambridge Who's Who
2009
One of the Seven (out of 34) Best Poster Presentations, The International Workshop on
Objective Bayes Methodology, Philadelphia, PA, The International Society for Bayesian Analysis
2009
2010-2011
Young Researcher Travel Award, The 11th Annual Winter Workshop on Semiparametric
Methodology, Gainesville, FL
Ranked #3 for a few months in the 10 most-accessed Biometrics papers, The International
Biometric Society
C. Contributions to Science
1. The uniform shrinkage priors (USPs) for the random-effect variance or covariance matrix in Bayesian linear
or generalized linear mixed models were developed in 1999 and 2000. This approach provided an
excellent alternative to the commonly used diffuse proper priors, which are known to have issues of
posterior near-impropriety and sensitivity of the inference to the prior specification. Despite the satisfactory
performance of the USPs, this approach has not been widely used because it was only developed for
simple two-stage hierarchical models, due to both conceptual and technical difficulties in extending the
method to more general hierarchical models. I extended the definition of the USP to semiparametric mixedeffects models and showed desirable properties of the new prior both analytically and empirically via
simulations. Further extension of this prior specification in a general class of mixed-effects models is
currently underway. In all the work, I developed the original idea of the extension and carried out most of
the modeling and implementation work that has led to the publication of the following paper.
a. Li Y, Lin X, Müller P. Bayesian inference in semiparametric mixed models for longitudinal data.
Biometrics 2010; 66(1), 70-78. PMID: 16984320. PMCID: PMC3081790.
2. Nonparametric modeling of an unknown distribution, in particular, using the Dirichlet process prior, is at the
center of robust inferences in Bayesian hierarchical models. When this approach is used in random-effects
model, an identifiability issue arises which, if not addressed, will result in incorrect and seriously misleading
inferences for the fixed effects that are often of scientific interest. I formally pointed out the issue and
proposed a simple yet effective adjustment to inference based on analytic evaluation of the posterior
moments of the fixed effects that addressed the identifiability issue. This work has solved a long-standing
identifiability problem in nonparametric Bayesian inference using the Dirichlet process prior, thus allowing
its wide use for valid inferences in Bayesian hierarchical models.
a. Li Y, Müller P, Lin X. Center-adjusted inference for a nonparametric Bayesian random effect
distribution. Statistica Sinica 2011; 21(3), 1201-1223. PMCID: PMC3870168.
3. Dose finding and dose-schedule finding are critical early steps in the development of drugs that treat
cancer. Along with colleagues, I have developed efficient and robust designs for dose-finding and doseschedule-finding trials that have improved the drug development process. Examples of our proposed
designs include the modified toxicity probability interval-based designs, which have been routinely used by
practitioners including major pharmaceutical companies in their dose-finding trials. I have also mentored
trainees (marked by a * below) in developing other novel and efficient designs for dose- and doseschedule-finding trials.
a. Li Y, Bekele BN, Ji Y, Cook JD. Dose-schedule finding in phase I/II clinical trials using a Bayesian
isotonic transformation. Statistics in Medicine 2008; 27(24), 4895-4913. PMCID: PMC4562497.
b. *Guo B, Li Y. Bayesian designs of phase II oncology trials to select maximum effective dose
assuming monotonic dose-response relationship. BMC Medical Research Methodology 14:95,
2014. PMCID: PMC4119476.
c. *Guo B, Li Y. Bayesian dose-finding designs for combination of molecularly targeted agents
assuming partial stochastic ordering. Statistics in Medicine 2015; 34(5):859-875. PMCID:
PMC4359011.
d. *Guo B, Li Y, Yuan Y. A dose-schedule-finding design for phase I/II clinical trials. Journal of the
Royal Statistical Society, Series C. In Press. NIHMS #718938.
4. Along with colleagues, I have developed missing data methods, in particular, nonparametric multiple
imputation methods for ignorable missing data. These methods are widely applicable in biomedical studies,
where missing data commonly arise.
a. Hsu C-H, Li Y, Long Q, Zhao Q, Lance P. Estimation of recurrence of colorectal adenomas with
dependent censoring using weighted logistic regression. PLoS One 6(10):e25141, 10/2011.
PMCID: PMC3204965.
b. Long Q, Hsu CH, Li Y. Doubly robust nonparametric multiple imputation for ignorable missing data.
Stat Sin 22(1):149-172, 2012. PMCID: PMC3280694.
c. Hsu C-H, Long Q, Li Y, Jacobs B. A nonparametric multiple imputation approach for data with
missing covariate values with application to colorectal adenoma data. Journal of Biopharmaceutical
Statistics 24(3):634-648, 4/2014. PMCID: PMC4353564.
Complete List of Published Work in MyBibliography:
http://www.ncbi.nlm.nih.gov/sites/myncbi/yisheng.li.1/bibliography/45331928/public/?sort=date&direction=asce
nding.
D. Research Support
Ongoing Research Support
Satcher (PI)
Cancer Survivorship Research Seed Money
Using telemonitoring to optimize the mobility of cancer survivors with skeletal metastases after surgery to
preserve limb function
To develop customized APPS and imaging technology for mobile devices for remote surveillance of late effects
and functional status of cancer survivors after surgery. To evaluate how well the current face to face follow up
visit can be adapted to the innovative remote surveillance format. To perform limited efficacy testing of remote
surveillance Role: Co-Investigator
5 P30 CA016672 40 DePinho (PI)
9/4/1988-6/30/2018
NIH/NCI
Cancer Center Support Grant - Biostatistics Shared Resource (BGR)
The overarching goal is to improve the standard of patient care, as researchers and clinicians work to eliminate
cancer. The Biostatistics Resource Group provides biostatistical expertise and quantitative research resources
in support of all CCSG programs at MDACC. Role: Statistician
Vidrine (PI)
6/15/2013-12/31/2017
Centers for Medicare and Medicaid Services (CMS)
An evidence-based smoking cessation program for underserved persons living with HIV/AIDS
To reduce the morbidity and mortality due to tobacco-related cancers among persons living with HIV/AIDS.
Role: Co-Investigator
Lopez (PI)
12/12/2013-12/11/2015
MDACC Institutional Research Grant (IRG)
A Pilot Study of Oncology Massage to Treat Chemotherapy-Induced Peripheral Neuropathy
The objective of this pilot study is to evaluate the feasibility and initial efficacy of two treatment schedules
(twice weekly for 6 weeks and three times weekly for 4 weeks, versus a control group) of a standardized
Swedish massage therapy technique (used by our massage therapists and others across the country
conducting oncology massage) to treat chronic, lower extremity oxaliplatin-induced peripheral neuropathy.
Role: Co-Investigator
DFI Seed Funding Research Program McNeill (PI)
11/1/2014-10/31/2016
UTMDACC Duncan Family Institute Seed Funding Research Program
Food Deserts in Houston? Increasing Fruit and Vegetable Consumption to Reduce Cancer Risk
To determine the feasibility of recruiting African American families and implementing Brighter Bites program in
a Houston area food desert-located church. To pilot test and evaluate the efficacy of Brighter Bites in
increasing healthy diet and physical activity, and reducing obesity at the end of the study compared to wait-list
control group. Role: Co-Investigator
13055845 (PID00000627) Cohen (PI)
Gateway for Cancer Research
Comprehensive Integrative Oncology Clinical Trial
CompLife Study Role: Collaborator
4/1/2015-12/31/2017
1-R01-CA172786-01A1 McNeill (PI)
5/1/2015-4/30/2016
NIH (Subcontract from University of Oklahoma Health Sciences Center)
Smoking Cessation for Cervical Cancer Survivors in a Safety Net Healthcare System
To evaluate the efficacy and cost-effectiveness of a theoretically- and empirically-based "Motivation And
Problem-Solving (MAPS) approach - with and without the addition of interactive text , messaging - to promoting
and facilitating smoking cessation among cervical cancer survivors in a large, safety net public healthcare
system. Role: Co-Investigator
Milbury (PI)
6/1/2015-5/31/2016
MDACC IRG
Couple-Based Yoga Program for Glioma Patients and their Partners
This investigation will examine the role of a mind-body intervention in improving the health of couples affected
by brain tumors. 1% unpaid Role: Collaborator
CP15990 Hortobagyi (PI)
6/1/2015-5/31/2016
Breast Cancer Foundation
Revising AJCC TNM Breast Cancer Staging: Analyzing National Datasets
To provide support for analysis of three national datasets that include robust biomarker data and complete
follow‐up to support incorporation of biomarker status into AJCC breast cancer staging Role: Co-Investigator
127952 Milbury (PI)
7/1/2015-6/30/2017
American Cancer Society (ACS)
Couple-based meditation program for lung cancer patients and partners
To improve quality of life in cancer patients. (set-up not completed). Role: Co-Investigator
1 R01 HL127260-01 Fagundes (PI)
7/1/2015-6/30/2020
NIH/NHLBI
Project Heart: Biobehavioral effects on Cardiovascular Risk for Bereaved Spouses
To provide insight into the links between early adversity, social support, depressive symptoms and
inflammation in sample of breast cancer survivors. Role: Co-Investigator
2 U01 CA152958 06 Berry (PI)
9/1/2015-8/31/2020
Georgetown University Medical Center
Comparative Modeling: Informing Breast Cancer Control Practice and Policy
To develop model inputs related to treatment benefits and harms that have been developed in recent years.
Role: Co-Investigator
U01 CA152958 Mandelblatt (PI)
9/1/2015-8/31/2016
Subaward from Georgetown University (NCI)
Pilot CISNET - BOLD Task Force Supplement
To provide support for analysis of three national datasets that include robust biomarker data and complete
follow‐up to support incorporation of biomarker status into AJCC breast cancer staging.
Role: Co-Investigator
Completed Research Support
5 R01 NR011453 05 McNeill (PI)
7/22/2009-12/30/2014
NIH/NINR
Social contextual and environmental predictors of PA in sedentary minority adults
The study will use survey, qualitative, and state-of-the-science EMA methods to longitudinally and
prospectively examine the influence of selected psychosocial, social contextual, and objective and perceived
physical environmental factors on self-initiated moderate-intensity physical activity among African Americans
and Latinos. Role: Co-Investigator
5 R01 CA141613 04 Wetter (PI)
9/1/2009-8/31/2014
NIH/NCI
Reducing Tobacco Related Health Disparities
The goal of the study is to evaluate the efficacy and cost-effectiveness of a theoretically and empirically-based
Motivation And Problem Solving (MAPS) intervention for promoting and facilitating smoking cessation among
low income smokers who are not ready to quit. Role: Co-Investigator
5 R01CA138800-04 Cohen (PI)
4/1/2010-3/31/2016
NIH/NCI
Yoga for women with breast cancer undergoing radiotherapy
To examine efficacy of incorporating a Yoga program alongside radiotherapy for women with breast cancer.
Role: Co-Investigator
5 U01 CA152958 05 Mandelblatt (PI)
9/1/2010-8/31/2015
NIH/NCI (Subcontract from Georgetown University) CISNET
Comparative Modeling: Informing Breast Cancer Control Practice & Policy
To develop model inputs related to treatment benefits and harms that have been developed in recent years.
Role: Co-Investigator
5 R01CA148707-04 Cohen (PI)
2/15/2011-1/31/2015
NIH/NCI
Placebo Controlled Trial Of Acupuncture To Prevent Radiation-Induced Xerostomia
To improve scientific knowledge regarding the benefits of acupuncture for xerostomia by conducting a multicenter, placebo-controlled, single-blind, phase III clinical trial of acupuncture to prevent xerostomia.
Role: Co-Investigator
Milbury (PI)
5/1/2014-4/30/2015
MDACC (IRG)
Couple-Based Yoga Program for Glioma Patients and their Partners
Examine the feasibility of a couple-based yoga program in 40 glioma patients undergoing RT and their
partners. Role: Biostatistical Collaborator
1 R01 CA172786 01A1 Vidrine (PI)
5/12/2014-4/30/2016
NIH/NCI
Smoking Cessation for Cervical Cancer Survivors in a Safety Net Healthcare System
To evaluate the efficacy and cost-effectiveness of a theoretically- and empirically-based "Motivation And
Problem-Solving (MAPS) approach - with and without the addition of interactive text , messaging - to promoting
and facilitating smoking cessation among cervical cancer survivors in a large, safety net public healthcare
system. (PI relinquished grant to University Of Oklahoma Health Sciences Center 5/1/2015)
Role: Co-Investigator