Dr. Ching-Yun Wang |
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Fred Hutchinson Cancer Research Center Public Health Sciences Division Biostatistics Full MemberAppointed: 2003 Feng-Chia University Biostatistics Affiliate ProfessorAppointed: 2005 University of Washington School of Public Health and Community Medicine Biostatistics Affiliate ProfessorAppointed: 2005 |  |
Mailing AddressFred Hutchinson Cancer Research Center 1100 Fairview Avenue N., M2-B500 P.O. Box 19024 Seattle, Washington 98109-1024United States | Contact Information |
Qualifications
Ph.D., Texas A&M University, Statistics, 1993.
M.S., National Tsing-Hua University, Applied Mathematics, 1985.
Expertise and Research Interests
Missing Data, Measurement Error and Nutritional Epidemiology.
I have two primary biostatistics research activities: (1) methodology research on missing data, measurement error models, longitudinal data and survival analysis; (2) application of methods to epidemiological data.
Missing data and measurement error are very practical and interesting problems. Due to certain reasons, such as high cost, some data can only be collected for a small subsample. For example, food frequency questionnaires are commonly used to assess dietary intake for most study participants, while other instruments such as 4DFR may be subsequently administered only to a subsample of participants to reduce costs. Other factors of missing data problem may be due to the design eligibility criteria. The Women's Health Initiative's dietary intervention trial is a standard example. Furthermore, nutrients are often measured with error. Ignorance of the measurement error may sometimes dead to considerable bias to the study results.
Dietary intervention trialshave been strategies for the nutritional prevention of cancer. This leads to a covariate measurement error problem in regression models. A closely related problem arising from the regression analysis of two-stage case-control studies. To this problem, I have developed some parametric, semiparametric and nonparametric methods.
I am also interested in the missing data and measurement error problem in censored failure time data. Some work has been done in this field.
Recently, I have been working on regression analysis when the disease outcome is related to longitudinal data which are observations from a random effects model. This problem is often called joint modeling or two-stage modeling. The primary regression is to relate disease outcome to some latent covariates, while the auxillary data regression is to model covariate data.
I have two primary biostatistics research activities: (1) methodology research on missing data, measurement error models, longitudinal data and survival analysis; (2) application of methods to epidemiological data.
Missing data and measurement error are very practical and interesting problems. Due to certain reasons, such as high cost, some data can only be collected for a small subsample. For example, food frequency questionnaires are commonly used to assess dietary intake for most study participants, while other instruments such as 4DFR may be subsequently administered only to a subsample of participants to reduce costs. Other factors of missing data problem may be due to the design eligibility criteria. The Women's Health Initiative's dietary intervention trial is a standard example. Furthermore, nutrients are often measured with error. Ignorance of the measurement error may sometimes dead to considerable bias to the study results.
Dietary intervention trialshave been strategies for the nutritional prevention of cancer. This leads to a covariate measurement error problem in regression models. A closely related problem arising from the regression analysis of two-stage case-control studies. To this problem, I have developed some parametric, semiparametric and nonparametric methods.
I am also interested in the missing data and measurement error problem in censored failure time data. Some work has been done in this field.
Recently, I have been working on regression analysis when the disease outcome is related to longitudinal data which are observations from a random effects model. This problem is often called joint modeling or two-stage modeling. The primary regression is to relate disease outcome to some latent covariates, while the auxillary data regression is to model covariate data.
Other Expertise
I am also interested in the missing data and measurement error problem in censored failure time data.
Keywords
COS Keywords:
Applied Mathematics, Biostatistics, Epidemiology, Nutrition or Dietetics, Public Health, Research Methodology, Statistics.Languages
(Reading, Writing, Speaking)
Chinese, Mandarin: (Fluent, None, None)
English: (Fluent, None, None)
Memberships
American Statistical Association
Honors and Awards
2002, H.O. Hartley Award,
Texas A&M University,
Department of Statistics
Previous Positions
2001-2005, Affiliate Associate Professor,
University of Washington,
School of Public Health and Community Medicine,
Biostatistics
1998-2002, Associate Member,
Fred Hutchinson Cancer Research Center,
Biostatistics,
Public Health Sciences
1993-1998, Assistant Member,
Fred Hutchinson Cancer Research Center,
Biostatistics,
Public Health Sciences
1993-2001, Affiliate Assistant Professor,
University of Washington,
School of Public Health and Community Medicine,
Biostatistics
1989-1993, Teaching/Research Assistant,
Texas A&M University,
Statistics
1987-1989, Research Assistant,
Institute of Statistical Science,
Academia Sinica, Taipei, Taiwan
Funding Received
- National Institutes of Health (NIH): Missing Data, Measurement Error and Applications, 12/01/97 to 11/30/02.
Publications
- McTiernan A, Wu L, Chen C, Chlebowski R, Mossavar-Rahmani Y, Modugno F, Perri M, Stanczyk F, Van Horn L, Wang CY, Relation of Body Mass Index and Physical Activity to Sex Hormones in Postmenopausal Women, Obesity, In Press, 2006
- Sugar EA, Wang CY, Prentice RL, Methods for logistic regression with flexible measurement error, Biometrics, In Press, 2006
- Hwang WH, Huang SYH, Wang CY, Conditional score estimation in capture-recapture models with measurement error, Statistica Sinica, 2006
- Huang Y, Wang CY, Errors-in-covariates effect on estimating functions: additivity in limit and nonparametric correction, Statistica Sinica, In Press, 2006
- Wang CY, Corrected Score Estimator for joint modeling of longitudinal and failure time data, Statistica Sinica, 16, 235-253, 2006
- McTiernan A, Martin CF, Peck JD, Aragaki AK, Chlebowski RT, Pisano ED, Wang CY, Brunner RL, Johnson KC, Manson JE, Lewis CE, Kotchen JM, Hulka BS, Women's Health Initiative Mammogram Density Study Investigators (Sep 2005) Estrogen-plus-progestin use and mammographic density in postmenopausal women: women's health initiative randomized trial, Journal of the National Cancer Institute, 97 (18), 1366-76
- Huang LH, Wang CY, Lee SM (2005) Bias Effect of covariate measurement errors in regression analysis, Journal of the Chinese Statistical Association, 43, 165-181
- Qi L, Wang CY, Prentice RL (2005) Weighted estimators for proportional hazards regression with missing covariates, Journal of the American Statistical Association, 100, 1250-1263
- Fouad M, Corbie-Smith G, Curb D, Howard BV, Mouton C, Simon M, Talavera G, Thompson J, Wang CY, White C, Young R, Special populations recruitment for the WHI: Successes and limitations, Controlled Clinical Trials, 25, 335-352, 2004
- Lee SM, Pan HY, Wang CY (2004) Correlation Coefficient Estimation of Nutrient Data Under Repeated Measurements and Restricted Sampling (in Chinese), Journal of Taiwan Intelligent Technologies and Applied Statistics, In Press
- Wang CY, Chao EC, Chen JC (2004) Review of Inverse Probability Weighted Estimation in Logistic Regression (in Chinese), Journal of Taiwan Intelligent Technologies, In Press
- Anderson GL, Manson J, Wallace R, Lund B, Hall D, Davis S, Shumaker S, Wang CY, Stein E, Prentice RL (Oct 2003) Implementation of the Women's Health Initiative study design, Annals of Epidemiology, 13 (9 Suppl), S5-17
- Wang CY, Huang Y (Aug 2003) Error in timing in regression with observed longitudinal measurements, Statistics in Medicine, 22 (16), 2577-90
- Prentice RL, Sugar E, Wang CY, Neuhouser M, Patterson R (Dec 2002) Research strategies and the use of nutrient biomarkers in studies of diet and chronic disease, Public Health Nutrition, 5 (6A), 977-84
- Wang CY, Chen J, Lee S, Ou S, Joint conditional likelihood estimator in logistic regression with missing covariate data, Statistica Sinica, 12, 555-574, 2002
- Wang CY, Chen HY (Jun 2001) Augmented inverse probability weighted estimator for Cox missing covariate regression, Biometrics, 57 (2), 414-9
- Wang CY, Huang Y, and Chen J (2001) Review and numerical evaluation of some practical methods for logistic regression with measurement error (in Chinese), Journal of the Chinese Statistical Association, 39, 125-138
- Wang S, Wang CY, Asymptotic comparisons of kernel assisted estimators in missing covariate regression, Statistics and Probability Letters, 55, 439-449, 2001
- Wang CY, Xie SX, Prentice RL, Recalibration based on an approximate relative risk estimator in Cox regression with missing covariates, Statistica Sinica, 11, 1081-1104, 2001
- Wang CY, Huang Y, Functional methods for logistic regression on random-effect-coefficient-covariates for longitudinal measurements, Statistics and Probability Letters, 53, 347-356, 2001
- Xie SX, Wang CY, Prentice RL (2001) A risk set calibration method for failure time regression using a covariate reliability sample, Journal of the Royal Statistical Society (B), 63, 855-870
- Huang Y, Wang CY (2001) Consistent functional methods fo logistic regression with error in covariates, Journal of the American Statistical Association, 96, 1469-1482
- Wang CY, Wang N, Wang S (Jun 2000) Regression analysis when covariates are regression parameters of a random effects model for observed longitudinal measurements, Biometrics, 56 (2), 487-95
- Wang CY, Huang WT (Mar 2000) Conditional-cumulant-of-exposure method in logistic missing covariate regression, Biometrics, 56 (1), 98-105
- Wang CY (Mar 2000) Weighted normality-based estimator in correcting correlation coefficient estimation between incomplete nutrient measurements, Biometrics, 56 (1), 106-12
- Wang CY, Flexible regression calibration for covariate measurement error with longitudinal surrogate variable, Statistica Sinica, 10, 905-921, 2000
- Huang Y and Wang CY (2000) Cox regression with accurate covariates unascertainable: a nonparametric-correction approach, Journal of the American Statistical Association, 95, 1209-1219
- Wang CY, Chen J (2000) Introduction to Regression Analysis With Covariate Measurement Error (in Chinese), Journal of Propagations in Probability and Statistics, 1, 101-108
- Zhou H and Wang CY (2000) Failure Time Regression Analysis With a Continuous Auxiliary Variable, Journal of the Royal Statistical Society B, 62, 657-665
- Wang CY and Pepe MS (2000) Expected estimating equations to accommodate covariate measurement error, Journal of the Royal Statistical Society, Series B, 62, 509-524
- Jeffcoat M, Lewis CE, Reddy MS, Wang CY, Redford M, Post-menopausal bone loss and its relationship to oral bone loss, Periodontology, 23, 94-102, 2000
- Wang CY, Anderson GL, Prentice RL (Sep 1999) Estimation of the correlation between nutrient intake measures under restricted sampling, Biometrics, 55 (3), 711-7
- Wang CY, Robust sandwich covariance estimation for regression calibration estimator in Cox regression with measurement error, Statistics and Probability Letters, 45, 371-378, 1999
- Prentice RL, Wang CY, Xie X, Measurement error in failure time analysis, Encyclopedia of Biostatistics, 3, 2519-2521, 1998
- Wang CY, Wang S, Gutierrez RG, Carroll RJ, Local linear regression for generalized linear models with missing data, The Annals of Statistics, 26, 1028-1050, 1998
- Wang CY, Hsu L, Feng ZD, Prentice RL (Mar 1997) Regression calibration in failure time regression, Biometrics, 53 (1), 131-45
- Wang CY, Wang S, Semiparametric methods in logistic regression with measurement error, Statistica Sinica, 7, 1103-1120, 1997
- Wang CY, Wang S, Carroll RJ (1997) Estimation in choice-based sampling with measurement error and bootstrap analysis, The Journal of Econometrics, 77, 65-86
- Wang CY, Wang S, Zhao L, Ou ST (1997) Weighted semiparametric estimation in regression analysis with missing covariate data, Journal of the American Statistical Association, 92, 512-525
- Freedman L, Anderson G, Kipnis V, Prentice R, Wang CY, Rossouw J, Wittes J, DeMets D, Approaches to monitoring the results of long-term disease prevention trials: examples from the Women's Health Initiative, Controlled Clinical Trials, 17, 509-525, 1996
- Wang CY, Carroll RJ (1995) On robust logistic case-control studies, with response-dependent weights, Journal of Statistical Planning and Inference, 43, 331-340
- Wang CY, Wang S, On Information Matrices in Case-control Studies, Statistics and Probability Letters, 269-274, 1995
- Carroll RJ, Knickerbocker RK, Wang CY, Dimension Reduction in a Semiparametric Regression Model With Errors in Covariates, The Annals of Statistics, 23, 161-181, 1995
- Carroll RJ, Wang S, Wang CY (1995) Prospective Analysis of Logistic Case-control Studies, Journal of the American Statisticial Association (90), 157-169
- Spiegelman CS, Wang CY, Detecting interactions using low dimensional searches in high dimensional data, Chemometrics and Intelligent Laboratory Systems, 293-299, 1994
- Wang CY, Carroll RJ, J.O. Berger (ed), SS Gupta (ed), On Robust Estimates in Case-control Studies With Error in Covariates., Statistical Decision Theory and Related Topics, 107-120, 1994
- Wang CY, Alternative covariance estimates in replicated measurement error model with correlated, heteroscedastic errors, Communications in Statistics: Theory and Methods, 22, 1819-1828, 1993
- Wang CY, Carroll RJ, On robust estimation in case-control studies, Biometrika, 80, 237-241, 1993
- Huang WT, Wang CY, On some optimal stopping and its applications to some statistical inferences, Academia Sinica, 17, 93-107, 1989
Profile Details
Last Updated: 8/24/2006
COS Expertise ID #675802
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