Mei-Ling Ting Lee
Professor, Dept of
Epidemiology & Biostatistics
Director, Biostatistics Research Center
|
EDUCATION/TRAINING (Begin with baccalaureate
or other initial professional education, such as nursing,
and include postdoctoral training.) |
|
INSTITUTION AND LOCATION |
DEGREE
(if applicable) |
YEAR(s) |
FIELD OF STUDY |
|
National Taiwan University, Taipei, Taiwan |
B.S |
1975 |
Mathematics |
|
National Tsing-Hua
University, Hsinchu, Taiwan |
M.S. |
1977 |
Mathematics |
|
University of
Pittsburgh, Pittsburgh, PA |
M.A. |
1978 |
Mathematics/Statistics |
|
University of
Pittsburgh, Pittsburgh, PA |
Ph.D. |
1980 |
Mathematics/Statistics |
A.
Positions and Honors
Positions
and Employment
1981-1983 Statistical Coordinator, Quantitative Management
Services, Data General Corp., Westboro, MA
1983-1984 Assistant Professor, Mathematics Dept., Bridgewater
State College, Bridgewater, MA
1984-1992 Assistant Professor, Department of Mathematics, Boston
University, Boston, MA
1992-2005 Biostatistician, Brigham and
Women’s Hospital, Boston, MA
1993-1999 Assistant Professor of Medicine (Biostatistics),
Harvard Medical School, Boston, MA
1998-2005 Associate Biostatistician, Biostatistics Center,
Massachusetts General Hospital, Boston, MA
1999-2001 Member, Scientific Review Committee on Clinical Trials, Dana
Farber/Harvard Cancer Center
2000-2005
Associate Professor of Medicine, Harvard Medical School,
Boston, MA
2000-2005 Associate Professor, Department of Biostatistics, Harvard
School of Public Health, Boston, MA
2005-2007 Professor and Chair, Biostatistics
Division, School of Public Health, Ohio State University
2007-2008 Distinguished
Professor in Biostatistics & Computational Biology, Ohio State
University
2008-Present Professor and Director,
Biostatistics Research Center, University of Maryland, College Park
Other
Experience and Professional Memberships
1994-present Editor-in-Chief, Lifetime Data Analysis
Honors
and Awards
1979 Teplitz-Culver Award: Outstanding Student in
Mathematics, University of Pittsburgh, PA
1979 Outstanding Student, American Statistical
Association, Pittsburgh Chapter
1995 Elected Member, International Statistical
Institute, the Netherlands
1998 Elected Fellow, Royal Statistical Society,
United Kingdom
1999 Elected Fellow, the American Statistical
Association, USA
2005 Elected Fellow, the Institute of Mathematics
Statistics, USA
2005 Mosteller Statistician of the Year 2005,
American Statistical Association, Boston Chapter
B. Selected Publications (in
chronological order)
1. Books
· Jewell NP, Kimber AC, Lee M-LT, Whitmore GA
(Editors). Lifetime Data: Models in Reliability and Survival
Analysis, 1995. Kluwer Academic Publishers, Dordrecht,
Netherlands.
· Mesbah M, Cole BF, Lee M-LT (Editors).
Statistical methods for quality of life studies: Design, measurements,
and Analysis, 2002. Kluwer Academic Publishers, Dordrecht,
Netherlands.
· Lee M-LT. Analysis of Microarray Gene Expression Data,
2004. Kluwer Academic Publishers, Boston.
2.
Selected Original Papers in Peer-reviewed Journals
·
D'Agostino, Lee M-L, Belanger AJ, Cupples LA, Anderson K, Kannel
WB.
Relation of pooled logistic regression to time-dependent Cox regression
analysis: The Framingham Heart Study. Statistics in Medicine
1990; 9:1501-1515.
·
Ross RA, Lee M-LT, Delaney ML, Onderdonk AB. Mixed-effects
models for predicting microbial interactions in the vaginal ecosystem.
J Clinical Microbiology 1994; 32:871-875.
·
Lee M-LT,
Ross RA, Onderdonk AB. Demonstration of subgroups among normal vaginal
microflora data. Microbial Ecology in Health & Disease 1995;
7:107-112.
·
Cole BF, Lee M-LT, Whitmore GA, Zaslavsky AM. An empirical
Bayes model for Markov dependent binary sequences with randomly missing
observations. J Amer Statistical Assoc 1995; 90:1364-72.
·
Lee M-LT,
Ross RA, Onderdonk AB. Cluster analysis of vaginal microflora data.
Microecol.& Therapy 1995; 25:324-28.
·
Williamson JM, Lee M-LT. A GEE regression model for the
association between an ordinal and a normal variable. Communications
in Statistics: Theory and Methods 1996; 25:1887-1901.
·
Lee M-LT,
Rosner B, Vokonas PS, Weiss ST. Longitudinal analysis of adult male
blood pressure: the Normative Aging Study, 1963-1992. Journal of
Epidemiology and Biostatistics 1996; 1:79-87.
·
Lee M-LT,
Lazarus R.
Meta
analysis for drug safety data with logistic regressions. Drug
Information Journal 1997; 31:1189-1193.
·
Hougaard
P, Lee M-LT, Whitmore GA. Analysis of over dispersed count data
by mixtures of Poisson variables and Poisson processes. Biometrics
1997; 53:1225-1238.
·
Lee M-LT,
Ross RA, Onderdonk AB. Statistical models for vaginal microflora:
identifying women at risk for group B streptococcus colonization as a
test of concept. Infectious Disease in Obstetrics and Gynecology.
1997; 5:336-340.
·
Lee M-LT,
Rosner BA, Weiss ST. Relationship of blood pressure to cardiovascular
death: the effects of pulse pressure in the elderly. Annals of
Epidemiology, 1999; 9: 101-107.
·
Platt R, Adelson-Mitty J, Weissman L, Zaleznik D., Lee ML,
Baker CJ.
Resource
utilization associated with initial hospital stays complicated by
early-onset group B streptococcal disease. Pediatric Infectious
Disease, 1999; 18: 529-533.
·
Lee
M-LT, Rosner BA, Weiss ST, Vokonas PS, Gaziano JM. Predictors of
cardiovascular deaths: The Normative Aging Study--1963-1998. Clinical
Geriatrics, 1999: 7: 77-85.
·
Lee
M-LT, Rosner BA, Vokonas PS, Weiss ST. Longitudinal analysis of
adult male blood pressure: The Normative Aging Study, 1963-1992.
Journal of Epidemiology & Biostatistics, 1996; 1:79-87.
·
Lee M-LT,
Dubios A, Ross RA, Onderdonk AB. Nonlinear models for in vitro kill
kinetics for antibiotics. Journal of Biopharmaceutical Statistics,
1999; 9: 271-277.
·
Lee M-LT,
Whitmore GA.Statistical inference for serial dilution assay data.Biometrics,1999;55:139-144.
·
Choo
PW, Rand CS, Inui TS, Lee M-LT, Cain E, Cordeiro-Breault M,
Canning C, Platt R. Validation of patient reports, automated pharmacy
records, and pill counts with electronic monitoring or adherence to
antihypertensive therapy. Medical Care, 1999; 37: 846-857.
·
Tsaih
SWT, Schwartz J, Lee M-LT, Amarasiriwardena C, Aro A, Sparrow D,
Hu H. The independent contribution of bone and erythrocyte lead to
urinary lead among middle-aged and elderly man: The Normative Aging
Study. Environmental Health Perspectives. 1999; 107:391-396.
·
Lee M-LT,
Rosner BA, Weiss ST, Vokonas PS, Gaziano JM. Predictors of
cardiovascular deaths: The Normative Aging StudyB1963-1998. Clinical
Geriatrics, 1999: 7: 77-85.
·
Lee M-LT,
DeGruttola V, Schoenfeld D. A model for markers and latent health
status. Journal of Royal Statistical Society, Series B, 2000;
62:747-761.
·
Lee M-LT,
Kuo FC, Whitmore GA, Sklar J. Importance of replication in microarray
gene expression studies: statistical methods and evidence from
repetitive cDNA hybridization, Proceedings of the National Academy of
Sciences, 2000; 97:9834-9839.
·
Choo
PW, Rand CS, Inui TS, Lee M-LT, Canning C, Platt R. A
pharmacodynamic assessment of the impact of antihypertensive
non-adherence on blood pressure control. Pharmacoepidemiology and Drug
Safety, 2000; 9: 557-563.
·
Choo
PW, Rand CS, Inui TS, Lee M-LT, Canning C, Platt R. Derivation of
adherence metrics from electronic dosing records. Journal of Clinical
Epidemiology, 2001; 54: 619-626.
·
Choo
PW, Rand CS, Inui TS, Lee M-LT, Canning C, Platt R. A cohort
study of possible risk factors for over-reporting of antihypertensive
adherence, BioMedical Central, 2001;
http://www.biomedcentral.com/1471-2261/1/6.
·
Lee
M-LT, Rosner BA. The average area under correlated ROC curves: a
nonparametric approach based on generalized two-sample Wilcoxon
statistics. J. Royal Stat Soc. C, Applied Statatistics, 2001;
50:337-344.
·
Lee M-LT, Schoenfeld D, Wang X, Penfornis A, Faustman D. Bayesian
analysis of case control polygenic etiology studies with missing data.
Biostatistics, 2001; 2:309-322.
·
Lee M-LT, Lu W, Whitmore GA, Beier D. Models for microarray gene
expression data, Journal of Biopharmaceutical Statistics,
2002, 12: 1-19.
·
Lee M-LT, Whitmore GA. Power and sample size for microarray studies,
Statistics in Medicine, 2002; 21: 3543-3570.
·
Lee M-LT, Bulyk ML, Whitmore GA, Church GM. A statistical model for
investigating binding probabilities of DNA nucleotide sequences using
microarrays. Biometrics, 2002;58: 981-988.
·
Rosner BA, Glynn RJ, Lee M-LT.
Incorporating of clustering effects for the Wilcoxon rank sum test: a
large sample approach. Biometrics 2003; 59:1091-1100.
·
Onderdonk AB, Lee M-LT, Liberman E, Delaney ML,
Tuomala RE. Quantitative microbiologic models for pre-term delivery,
Journal of Clinical Microbiology, 2003, 41: 1073-1079.
·
Lee M-LT, Whitmore GA, Laden F, Hart JE, Garshick E. Assessing lung
cancer risk in railroad workers using a first hitting time regression
model. Environmetrics, 2004,15: 501-512.
·
Lee M-LT, Whitmore GA. Intensity-dependent normalization in
microarray analysis: a note of concern. Bernoulli, 2004, 10:
943-949.
·
Lee M-LT, Gray RJ, Bjorkbacka H, Freeman MW.
Generalized Rank Tests for Replicated Microarray Data. Statistical
Applications in Genetics and Molecular Biology, 2005,
Vol. 4:
No. 1, Article 3.
·
Rosner
B, Glynn RJ, Lee M-LT, The Wilcoxon signed rank test for paired
comparisons of clustered data, Biometrics, 2006, 62: 185-192.
·
Tsai P-W, Lee M-LT. split-plot microarray experiments, Applied
Bioinformatics, 2005, 4:187-194.
·
Qiu W, Ehrlich JR, Ferdinand AS, Richie JP, O’Leary MP, Lee M-LT,
Liu BC-S. Development of a reverse capture autoantibody microarray for
studies of antigen-autoantibody profiling, Proteomics, 2006, 6:
3199-3209.
·
Qiu
W, Lee M-LT.
A
web-based calculator for sample-size and power calculations in
microarray studies, 2006, Bioinformation, V1, 251-252.
·
Lee M-LT, Whitmore GA. Threshold regression for survival analysis:
modeling event times by a stochastic process reaching a boundary.
Statistical Sciences, 2006, 21: 501-513.
·
Rosner B, Glynn RJ, Lee M-LT,
Extensions of the Rank Sum Test for Clustered Data: two group
comparisons with group membership defined at the subunit level,
Biometrics, 2006, 62: 1251-1259.
·
Rosner B, Glynn RJ, Lee M-LT, A Nonparametric Test for
Observational Non-Normally Distributed Ophthalmic Data with Eye-Specific
Exposures and Outcomes, Ophthalmic Epidemiology, 2007, 14,
243-250 .
·
Zhang Y, Bertolino A, Fazio L, Blasi G, Rampino A, Romano R, Lee
M-LT, Xiao T, Papp A, Wang D, and Sadée W, Polymorphisms in human
dopamine D2 receptor gene affect gene expression, splicing, and neuronal
activity during working memory, Proceedings of the National Academy
of Sciences, USA, 2007, 104 (51): 20552-20557.
·
Lee M-LT, Whitmore GA, Laden F, Hart JE, Garshick E. A case-control
study relating rail workers mortality to diesel exhaust exposure using a
threshold regression model. Journal of Statistical Planning and
Inferences, 2009, 139: 1633-1642.
·
Lee M-LT,
Chang M, Whitmore GA, A Threshold regression mixture model for assessing
treatment efficacy in a multiple myeloma clinical trial, Journal of
Biopharmaceutical Statistics, 2008, 18. (In press).
·
Hunter MP, Ismail N, Zhang X, Aguda BD, Lee EJ, Yu L, Xiao T,
Schafer J, Lee M-LT, Schmittgen TD, Nana-Sinkam P, Jarjoura D,
Marsh CB. Detection of microRNA expression in human peripheral blood
microvesicles, PLoS One, 2008, Vol 3, Issue 11, e3694.
·
Yu Z, Tu W,
Lee M-LT.
A semiparametric threshold regression analysis of sexually
transmitted infections in adolescent women. Statistics in Medicine,
2009, (In Press).
C. Research Support : Ongoing Research Support
R01 OH008649 (PI:
Lee, M.-L.T.)
09/01/06-08/31/10
NIOSH/CDC
Threshold Regression Methodology for Cancer Risk Assessment
Building on preliminary work, we propose to develop a new statistical
methodology for epidemiologic studies, called Threshold Regression, that
will facilitate and enrich the assessment of health risks associated
with occupational exposures.
Subcontract
(PI: Lee, M.-L. T.) from the
Ohio State University
Primary fund: 1R21CA125909-01A2
(PI: Vodovotz)
07/01/09-06/30/12
NCI/NIH
Soy Almond Bread as Complimentary Therapy for Prostate
Cancer
The major
goal is a critical assessment of soy bread safety/toxicity in men with
prostate cancer, a group that is ideally suited for clinical trials of
complementary and alternative therapy.
Subcontract
(PI: Lee, M.-L. T.)
from
Brigham and
Women's Hospital,
07/01/07-06/30/09
Primary
fund:
NEI/NIH,
2R01EY012269-07A1 (PI: Bernard
Rosner)
Statistical
Methods for Ophthalmologic and Cluster Data
We propose to apply the methodology for generalized Wilcoxon tests for
clustered ophalmologic data to assess goodness of fit of GEE models for
correlated ophthalmologic data (e.g. from fellow eyes).
University of Maryland College Park and Baltimore Campuses Seed Grant
(PI:
Lee, M.-L.T.
and
Onukwugha)
12/01/08-12/01/09
Hospital admissions among veterans with congestive
heart failure: the role of medical noncompliance and mental illness
Completed Research Support
·
2 R03
CA89756-02 (PI: Lee, M.-L.T.)
07/01/01 - 12/30/04
NIH/NCI:
Analysis of Microarray Gene Expression of Tumors
We
developed statistical methods for analyzing gene expression levels for
tumors; and developed software for data analysis using the proposed
models.
·
1
R13
CA109778-01 (PI: Lee, M.-L.T.)
05/01/04- 4/30/05
NIH/NCI:
International Conference on Analysis of Genomic Data
This grant
provides partial travel supports for some invited speakers and junior
researchers. The conference was successfully held at the Harvard Medical
School on May 10-11, 2004, with over 400 participants from over 15
countries attended the meetings.
·
R01 HG02510 (PI: Lee, M-L.T.)
09/13/02-10/31/07
NHGRI/NIH: Power and Sample Size for Microarray Studies
In this project we will derive formulas for computer power and
sample size for different types of hypotheses being tested in microarray
studies. We will assess the effect of experimental design and
replication in terms
of power for microarray studies. We will develop software for
computing power and sample size.
·
AGMT DTD 7/21/06
(subcontract PI: Lee, M-L.T.)
11/11/05-05/31/08
Brigham and
Women's
Hospital
Prime:
NHLBI/NIH, R01 HL040619 (PI: Rosner)
Analysis of Longitudinal CVD & Cancer Data
The purpose of this research is to extend and evaluate cutting edge
longitudinal methods on real data sets in the areas of cardiovascular
disease and cancer. One realm of exploration will be the difficulty in
attributing causal effects of time‑varying exposures in observational
studies. Other issues to be explored include: how to handle missing
data and the fitting of growth curves.
