Research
Primary
Research Interests
- Survival analysis
- Correlated processes
over time
- Epidemiology studies
- Cinical trials
- Identify SNP or SNP
cluster in genomics data
Other
Areas of Interest
- Survival techniques in
equal employment opportunity cases
- Compensation
estimation in discrimination cases
Peer-Reviewed Publications
·
Pan, Q. Multiple testing methods in clinical trials and genomic studies. Frontiers in Public Health 2013,
1(63): 1-8. doi: 10.3389/fpubh.2013.00063
·
Xu, W., Pan, Q. and Gastwirth,
J.L. Proportional hazards models
with frailty for negatively correlated processes. Computational Statistics & Data Analysis 2014, 70: 295-307 .
- Xu, W., Pan,
Q. and Gastwirth, J.L. Adaptive procedures for nested processes: Application to
equal employment. Statistics &
Its Inference 2014, 7(2): 153-165 .
- Pan, Q. and Schaubel, D.E. Proportional hazards regression in the presence of missing study
eligibility information. Lifetime Data Analysis, DOI:
10.1007/s10985-013-9273-5.
- Pan, Q. and Gastwirth, J.L.
Estimating restricted mean job tenures in semi-competing risk data
compensating victims of discrimination. Annals of Applied Statistics, 2013, 7(3): 1474-1496.
- Pan, Q. Case
Comment: Adams v. Perrigo and the appropriate
criterion for bioequivalence in patent infringement cases. Law,
Probability & Risk 2013, 12(2): 147-153
- Pan, Q. and Gastwirth, J.L.
The appropriateness
of survival analysis for determining lost pay in discrimination cases: application
of the ‘Lost Chance’ doctrine to Alexander
v. Milwaukee. Law, Probability & Risk 2013, 12(1): 13-35
- Pan, Q. and Grace,
Y.Y. An estimation method of marginal treatment effects on correlated
longitudinal and survival outcomes. Statistics and Its Inference 2011, 4(4): 499-509.
- Gastwirth, J.L. and Pan, Q. Statistical measures and methods for assessing
the representativeness of juries: a reanalysis of the data in Berghuis v. Smith. Law, Probability & Risk 2011, 10(1): 17-57
- Pan, Q. and Schaubel, D.E. Evaluating bias correction in weighted proportional hazards
regression. Lifetime
Data Analysis 2009, 15(1): 120-146.
- Pan, Q. and Schaubel, D.E.
Flexible estimation of differences
in treatment-specific recurrent event means in the presence of a terminating
event. Biometrics 2009, 65(3): 753-761.
- Pan, Q. and Gastwirth, J.L. Issues in the use of survival analysis to estimate damages in
equal employment cases. Law,
Probability & Risk 2009,
8(1): 1-24
- Gastwirth, J.L. and Pan, Q. Diaz v. Eagle Produce Ltd. Partnership: the potential
for and limitations of formal statistical analysis to assist courts when
drawing inferences from a relatively small data set. Jurimetrics 2009, 49(4): 439-466.
- Sinclair,
M.D. and Pan, Q. Using the Peters-Belson Method in EEO personnel evaluations (with
Comments). Law, Probability
& Risk 2009, 8(2): 95-117
- Pan, Q. and Schaubel, D.E. Weighted Cox regression with biased samples and empirically
estimated selection probabilities. Canadian Journal of
Statistics 2008, 36(1): 111-127.
·
Delahanty, L.M.,
Pan, Q., Jablonski,
K.A., Aroda, V.R., Watson, K., Bray, G.A., Kahn, S.E.,
Florez, J.C., Perreault,
L. and Franks, P.W. Effects of weight loss, weight cycling and weight loss maintenance
on diabetes incidence and cardiometabolic traits in
the diabetes prevention program (Diabetes Care).
- Marrero,
D., Pan, Q., Barrett-Connor,
E., de Groot, M., Zhang, P., Percy, C., Florez,
H., Ackermann, R., Montez, M. and Rubin, R.R., Impact of diagnosis of
diabetes on health-related quality of life among high risk individuals: the
DPP outcome study. Quality of Life
Research 2014, 23(1), 75-88.
- Pan, Q., Delahanty, L.M., Jablonski,
K.A., Knowler, W.C., Kahn, S.E., Florez, J.C. and Franks, P.W.
- Variation at the melanocortin
4 receptor gene and response to weight-loss interventions in the diabetes
prevention program. Obesity
2013, doi: 10.1002/oby.20459
- Pollin, T. I., Isakova,
T., Jablonski,
K.A., de Bakker, P.I.W., Taylor,
A., McAteer,
J., Pan, Q., Horton, E.S.,
Delahanty, L.M., Altshuler,
D., Shuldiner, A.R., Goldberg, R.B., Florez, J.C. and Franks, P.W. Genetic modulation of
lipid profiles following lifestyle modification or metformin treatment:
the diabetes prevention program. PloS Genetics 2012,
8(8): e1002895
- Florez, H., Pan, Q.,
Rubin, R., Ackermann, R.T., Marrero, D.G., Barrett-Connor, E., Delahanty, L., Kriska, A.,
Saudek, C.D., Goldberg, R.B. and Rubin, R.R.
Impact of lifestyle intervention and metformin on health-related quality
of life: the diabetes prevention program randomized trial. Journal of General Internal Medicine 2012,
27(12): 1594-1601
- Perreault, L., Pan, Q., Mather, K.J., Watson, K.E., Saudek,
C., Hamman, R.F. and Kahn, S.E. Effect of regression
from prediabetes to normal glucose regulation on
long-term reduction in diabetes risk: results from the Diabetes
Prevention Program Outcomes Study. Lancet 2012, 379(9833): 2243-2251
- Delahanty, L.M., Pan,
Q., Jablonski, K.A., Watson, K.E., McCaffery, J.M., Shuldiner,
A., Kahn, S.E., Knowler, W.C., Florez, J.C. and Franks, P.W. Genetic predictors of
weight loss and weight regain after intensive lifestyle modification,
metformin treatment or standard care in the diabetes prevention program.
Diabetes Care 2012, 35(2):
363-366
- Damle, S., Teal, C.B., Lenert,
J.J., Marshall, E.C., Pan, Q. and Mcswain,
A.P. Mastectomy and contralateral prophylactic mastectomy rates: an institutional
review. Annals of Surgical Oncology 2011, 18(5): 1356-1363
- Hirth, R.A., Pan,
Q., Schaubel,
D.E. and Merion, R.M. Efficient utilization of the Expanded
Criteria Donor (ECD) deceased donor kidney pool: an analysis of the effect
of labeling. American Journal of
Transplantation 2010,
10(2): 304-309.
- Hirth, R.A., Turenne, M.N., Wheeler, J.R.C., Pan, Q., Ma, Y. and Messana, J.M. Provider monitoring and pay-for-performance
when multiple providers affect outcomes: an application to renal dialysis. Health Service Research 2009, 44(5): 1585-1602
- Turenne,
M.N., Hirth, R.A., Pan, Q., Wolfe, R.A., Messana,
J.M. and Wheeler, J.R.C. Using
knowledge of multiple levels of variation in care to target performance
incentives to providers. Medical
Care 2008, 46(2): 120-126
- Hirth, R.A., Turenne, M.N., Wheeler, J.R.C., Pozniak, A.S., Tedeschi,
P., Chuang, C.C., Pan, Q., Slish, K. and Messana,
J.M. Case-mix adjustment for an
expanded renal prospective payment system. Journal of the American Society of Nephrology 2007, 18(9):
2565-2574
- Wheeler,
J.R., Messana, J.M., Turenne, M.N., Hirth, R.A., Pozniak,
A.S., Pan, Q., Chuang, C.C., Slish, K., Tedeschi, P., Roys, E.C. and Wolfe, R.A. Understanding the basic case-mix adjustment for the composite
rate. American Journal of
Kidney Disease 2006, 47(4): 666-671
- Gastwirth, J.L. and Pan, Q. Comments on “Qualifying
the weight of evidence from a forensic fingerprint comparison: a new
paradigm” by C. Neumann, I.W. Evett & J. Skerrett J. R.
Statistic. Soc. A 2012, 175(2): 402-403.
- Pan, Q. Entry
“Standard Error of Estimate” in Encyclopedia of Research Design edited
by Neil Salkind, 2010, SAGE publications Inc: 1424-1427.
- Gastwirth, J.L. and Pan, Q. Careful statistical reasoning can provide support for supreme court
decision. AmStat News 2010, 397: 23-24.
Referee
Journal of American Statistics Association, Journal
of the Royal Statistical Society – Series B, Annals of Applied Statistics, Biometrics,
Lifetime Data Analysis, Environmental and Ecological Statistics, Law
Probability & Risk, The American Statistician, Indian Pediatrics,
Biometrical Journal, HongKong Research Grants
Council, Circulation:
Cardiovascular Quality and Outcomes, Journal of Statistics and Computing,
Statistics in Medicine, Canadian Journal of Statistics, Journal of
Statistical Planning and Inference, GW UFF/CCFF proposals, Obesity, Natural
Sciences and Engineering Research Council of Canada, Scientific Reports, BMC
Medical Research Methodology
Assistant Editor
Law Probability & Risk
Associate Editor
Frontiers in Epidemiology
PhD Students
Wenjing Xu, Li Chien Cheung, Aotian Yang, Lingjie Zhou
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