Publications

  • An asterisk ( * ) is used to indicate correspondence author or senior author
  • Current and former Ph.D. advisees, research assistants and post-doctoral fellows are indicated by an underline 

Preprints:

  1. Zhou X, Wang Y, Zeng D. (2018). Sequential Outcome-Weighted Multicategory Learning for Estimating Optimal Individualized Treatment Rules. Submitted. Preprint.

  2. Qiu X, Wang Y. (2018). Composite Interaction Tree for Simultaneous Learning Optimal Individualized Treatment Rules and Subgroups. Submitted. Preprint.

Statistical Methodological Publications (In chronological order):

  1. Garcia T, Marder  K, Wang  Y*.   (2017).  Time-varying Proportional Odds Model  for Mega- analysis of Clustered Event  Times. Biostatistics. In press. Paper.
  2. Qiu X, Zeng  D, Wang  Y*. (2017).  Estimation and  Evaluation of Linear  Individualized Treatment  Rules to Guarantee Performance. Biometrics. In press. Paper.
  3. Li X,  Xie S,  Zeng   D,  Wang  Y*. (2017). Efficient  Method to Optimally Identify  Important Biomarkers for Disease Outcomes with high-dimensional Data. Statistics in Medicine. In press. Paper.
  4. Lee A, Marder  K, Alcalay  R, Bressman S,  Orr-Urtreger A, Giladi N, Wang  Y*.   (2017). Estimation  of Genetic Risk  Function with Covariates in the  Presence of Missing  Genotypes. Statistics in Medicine. In press.
  5. Xu K, Ma  Y, Wang  Y. (2017).   Nonparametric Distribution  Estimation in the  Presence  of Familial Correlation and  Censoring. Electronic Journal  of Statistics. 11(1),  1928-1948.
  6. Garcia T, Ma Y, Marder  K, Wang  Y*. (2017). Robust mixed-effects model  for clustered failure time data: Application  to Huntington’s disease event measures. Annals of Applied  Statistics.11(2),  1085-1116.
  7. Wang Y*, Fu H, Zeng  D. (2017). Learning Optimal  Personalized Treatment Rules under Risk Constraint. Journal  of the American Statistical Association. In press. Paper.
  8. Chen H,  Zeng   D,  Wang  Y*.  (2017)   Penalized  Nonlinear Mixed  Effects Model  to  Identify Biomarkers that  Predict Disease Progression.  Biometrics. In press. PMID: 28182831  DOI:10.1111/biom.12663
  9. Wang  Q, Ma Y, Wang  Y. (2017). Predicting disease  Risk  by Transformation Models  in the Presence of Unspecified Subgroup Membership. Statistica Sinica. 27(4),  1857.
  10. Liu Y, Wang  Y*, Huang C, Zeng  D. (2017). Estimating Individualized Diagnostic Rules in the Era of Personalized Medicine. Statistics in Medicine. 36(7):1099-1117. PMID: 27917508
  11. Wang Y*, Wu P, Liu Y, Weng C, and Zeng D. (2016). Learning optimal individualized treatment rules from electronic health records data. IEEE International Conference on Healthcare Informatics: ICHI 2016 Proceedings: 4-7 October 2016, Chicago, Illinois, USA. Paper.
  12. Liu Y, Wang  Y, Zeng  D (2016).  Sequential Multiple Assignment Randomization Trials  with Enrichment for Dynamic  Treatment Regimes. Biometrics. DOI: 10.1111/biom.12576.  PMID:27598622 PMCID: PMC5339073
  13. Wang Y*, Chen T, Zeng D (2016). Support Vector Hazards Machine: A Counting Process Framework for Learning Risk Scores for Censored Outcomes. Journal of Machine Learning Research. 17(167):1-37. Paper.
  14. Liang B, Tong X, Zeng D, Wang Y (2016). Semiparametric Regression Analysis of Repeated Current Status Data. Statistica Sinica. In press. NIHMSID: 796289.
  15. Liu Y, Wang Y*, Yang Feng*, Melanie Wall (2016). Variable Selection and Prediction with Incomplete High-dimensional Data. Annals of Applied Statistics. 10:418-450.
  16. Chen T, Zeng D, Wang Y* (2015). Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration. Biometrics. 71:918-928. (An earlier version won the ASA Statistical Learning and Data Mining Section Student Paper Award). PMID: 26177419.
  17. Wang Y*, Liang B, Tong X, Marder K, Bressman S, Orr-Urtreger A, Giladi N, Zeng D (2015). Efficient Estimation of Nonparametric Genetic Risk Function with Censored Data. Biometrika. 102(3):515-532. PubMed PMID: 26412864; PubMed Central PMCID: PMC4581539. Paper.
  18. Chen T, Ma Y, Wang Y* (2015). Predicting Cumulative Risk of Disease Onset by Redistributing Weights. Statistics in Medicine. 34(16):2427-43. PMID: 25847392; PMCID: PMC4457675.
  19. Jiang F, Ma Y, Wang Y (2015). Fused Kernel-Spline Smoothing for Repeatedly Measured Outcomes in a Generalized Partially Linear Model with Functional Single Index. Annals of Statistics. 1929-1958. 43(5). (An earlier version won ENAR Distinguished Student Paper Competition, 2014) NIHMSID: 686160.
  20.  Chen T, Wang Y*, Chen H, Marder K, Zeng D. (2014). Targeted local support vector machine for age-dependent classification. Journal of the American Statistical Association. 109(507), 1174-1187.
  21. Qin J, Garcia TP, Ma Y, Tang, M, Marder K, and Wang Y* (2014). Combining isotonic regression and EM algorithm to predict genetic risk under monotonicity constraint and unknon genotypes. Annals of Applied Statistics.  8(2), 1182.
  22. Chen H, Wang Y, Li, R., Shear K. (2014). On testing a nonparametric function through penalized splines. Statistica Sinica. 24, 1143-1160.
  23. Ma Y and Wang Y*. (2014). Nonparametric modeling and analysis of association between Huntington’s disease onset and CAG repeats. Statistics in Medicine. 33(8): 1369-1382. PubMed PMID: 24027120; PubMed Central PMCID: PMC3947445.
  24. Ma Y and Wang Y*. (2014). Estimating Disease Distribution Functions from Censored Mixture Data. Journal of the Royal Statistical Society, Series C. 63(1), 1-23.
  25. Wang Y*, Chen H, Zeng D, Mauro C, Duan N, and Shear K. (2013). Auxiliary marker-assisted classification in the absence of class labels. Journal of the American Statistical Association. 108 (502), 553-565.
  26. Chen H, Wang Y*, Paik CM, Choi A. (2013). A marginal approach to reduced-rank penalized spline smoothing for multilevel data. Journal of the American Statistical Association. 108(504): 1216-1229. Paper.
  27. Zeng D, and Wang Y. (2013). Discussion on ”Statistical Learning With Time Series Depen- dence: An Application to Scoring Sleep in Mice” by McShane et al. Journal of the American Statistical Association. 108(504): 1154.
  28. Wang Y*, Garcia T, and Ma Y. (2012). Nonparametric estimation for censored mixture data with application to the Cooperative Huntington’s Observational Research Trial. Journal of the American Statistical Association. 107 (500), 1324-1338. Paper.
  29. Fan R, Zhang Y, Albert P, Liu A, Wang Y, and Xiong M. (2012). Longitudinal genetic analysis of quantitative traits. Genetic Epidemiology. 36: 856-869.
  30. Ma Y, Wang Y* (2012). Efficient Distribution Estimation for Data with Unobserved Sub-population Identifiers. Electronic Journal of Statistics. 6, 710-737. Paper.
  31. Wang Y*, Chen H (2012). On testing an unspecified function through a linear mixed effects model with multiple variance components. Biometrics. 68(4), 1113-1125. Paper. Sample Code.
  32. Wang Y*, Chen Y, Yang Q. (2012). Joint rare variant association test of the average and individual effects for sequencing studies. PLoS ONE. 7(3), e32485. Paper. Code-SAS
  33. Yang Q, Wang Y. (2012). Methods for Analyzing Multivariate Phenotypes in Genetic Association Studies. Journal of Probability and Statistics. Volume 2012 (2012), Article ID 652569.
  34.   Wang Y*, Huang C. (2012). Semiparametric variance components models for genetic studies with longitudinal phenotypes. Biostatistics. 13(3), 482-496. Paper.
  35. Chen T, Wang Y*, Ma Y, Marder K, Langbehn D. (2012). Predicting disease onset from mutation status using proband and family data with applications to Huntington’s disease. Journal of Probability and Statistics. Volume 2012 (2012), Article ID 375935. Paper.
  36. Wang Y*, Huang C, Fang Y, Qiong Y, and Li R. (2012). Flexible semiparametric analysis of longitudinal genetic studies by reduced rank smoothing. Applied Statistics: Journal of the Royal Statistical Society, Series C. 61, 1-24. Paper. Appendix.
  37. Wang Y*. (2011). Flexible estimation of covariance function by penalized spline with application to longitudinal family data. Statistsics in Medicine. 30(15), 1883-1897. Paper.
  38. Chen H and Wang Y*. (2011). A penalized spline approach to functional mixed effects model analysis. Biometrics. 67, 861-870. Paper. Appendix. Code
  39. Wang Y*, Yang Q, and Rabinowitz D (2011). Unbiased and efficient estimation of the effect of candidate genes on quantitative traits in the presence of population admixture. Biometrics. 67, 331-343. Paper. Code.
  40. Wang Y*, Chen H, Li R., Duan N and Lewis-Fernandez R (2011). Prediction based structured variable selection through penalized support vector machine. Biometrics. Paper. 67, 896-905.
  41. Wang Y*, Chen H, Schwartz T, Duan N, Parcesepe A, and Lewis-Fernandez R (2011). Assessment of a disease screener by hierarchical all subset selection using area under the receiver operating characteristic curves. Statistics in Medicine. 30, 1751-1760. Paper.
  42. Wang Y*, Fang Y (2011). Adjusting for treatment effects when estimating or testing genetic effects is the main interest. Journal of Data Science. 9, 127-138.
  43. Wang Y*, Rabinowitz D (2010). Efficient non-parametric estimation from kin-cohort data. Communications in Statistics: Theory and Methods. 39, 3622-3634.
  44. Fang Y, Wang Y*. (2009). Testing for genetic effect on functional traits by functional principal components analysis based on heritability.  Statistics in Medicine. 28(29), 3611-3625. Paper.
  45. Fang Y, Wang Y, Sha N. (2009). Armitage’s trend test for genomewide association analysis:  one-sided or two-sided? BMC Genetics. 3(Suppl 7): S37.
  46. Wang Y*, Fang Y (2009). Least square and empirical Bayes approaches for estimating random change points. Journal Data Science. 7, 1-12
  47. Wang Y*, Sha N, Fang Y. (2009). Analysis of genome-wide association data by large-scale Bayesian logistic regression. BMC Genet. 3(Suppl 7): S16.
  48. Beyene J, Tritchler D, Bull SB, Cartier KC, Jonasdottir G, Kraja AT, Li N, Nock NL, Parkhomenko E, Rao JS, Stein CM, Sutradhar R, Waaijenborg S, Wang KS, Wang Y and Wolkow P (2007). Multivariate analysis of complex gene expression and clinical phenotypes with genetic marker data. Genetic Epidemiology. 31 Suppl 1:S103-9.
  49. Wang S, Zheng T, Wang Y. (2007). Transcription activity hotspot, is it real or an artifact? BMC Genet. Suppl 1: S94
  50. Wang Y*, Clark LN, Marder K and Rabinowitz D (2007). Non-parametric estimation of genotype-specific age-at-onset distributions from censored kin-cohort data.  Biometrika, 94(2): 403-414. Paper.
  51. Wang Y*, Fang Y, Jin M. (2007). A ridge penalized principal-components approach based on heritability for high-dimensional data. Human Heredity. 64(3), 182-91. Paper. Code
  52. Wang Y*, Fang Y, Wang S. (2007). Clustering and principal component analysis for mapping co-regulated genome-wide variation using family data. BMC Genet. Suppl 1:S121
  53. Wang Y*, Ottman R, and Rabinowitz D. (2006). A method for estimating penetrance from families sampled for linkage analysis. Biometrics. 62, 1081-1088. Paper.

Substantive Area Publications (In chronological order):

  1. Avissar M, Xie S, Vail B, Lopez-Calderon J, Wang Y, Javitt D. (2017). Meta-analysis of mis-match negativity in schizophrenia: the simpler the better. Schizophrenia Research. In press.
  2. Lee A, Wang Y, Alcalay RN, Mejia-Santana H, Saunders-Pullman R, Pressman S, CorvolJ C, Brice A, Lesage S, Mangone G, Tolosa E, Pont-Sunyer C, Vilas D, Schle B, Kausar F, Foroud T, Berg D, Brockmann K, Goldwurm S, Siri C, Asselta R, Ruiz-Martinez J, Mondragn E, Marras C, Ghate T, Giladi N, Mirelman A, Marder K, Michael J. Fox LRRK2 Cohort Consortium. (2017) Penetrance of LRRK2 p.G2019S Mutation in Non-Ashkenazi Jewish in the Michael J. Fox LRRK2 Consortium. Movement Disorders. 32(10):1432-1438.  Paper.
  3. Ghesquiere A, Schwartz T, Wang Y, Mauro C, Skritskaya N, Shear K. (2017). Performance and psychometric properties of the Interpersonal Support Evaluation List (ISEL) in older adults with Complicated Grief, Journal of Affective Disorders, 218: 388-393.
  4. Fisher, J.E., Mauro, C., Cozza, S.J.,1 Wall, M., Simon, N.M.,4 Ortiz, C. D., Harrington- LaMorie, J., Wang, Y., Fullerton, C.S., Ursano, R. J. 1 & Shear, M. K. (2017). Examination of factor structure of the Inventory of Complicated Grief (ICG) in a sample of bereaved mil- itary family members with persistent and elevated grief. International Journal of Methods in Psychiatric Research. 26:e1571.
  5. Choi J, Wang Y, Feng T, Prudic J. (2017). Cognitive training to improve memory in individuals undergoing electroconvulsive therapy: Negative findings. Journal of Psychiatric Research. 92, 8-14.
  6. Tal I, Mauro C, Reynolds CF, Shear MK, Simon NM, Zisook S, Lebowitz B, Skritskaya N, Wang Y, Qiu X, Iglewicz A, and Glorioso D, Avanzino J, Loebach J, Karp J, Robinaugh D, Zisook S (2017). Complicated Grief After Suicide Bereavement and Other Causes of Death. Death Studies. 41(5):267-275.
  7. Skritskaya, N., Mauro, C., Olonoff, M. Qiu, X., Duncan, S., Wang, Y., Duan, N., Lebowitz, B., Reynolds C. F. III, Simon N.M., Zisook S., Shear, M. K. (2016). Measuring Maladaptive Cognitions in Complicated Grief: Introducing the Typical Beliefs Questionnaire. American Journal of Geriatric Psychiatry. In press. PubMed: 27793576; PMC: PMC5357591.
  8. Mauro C, Shear MK, Reynolds CF, Simon NM, Zisook S, Skritskaya N, Wang Y, Lebowitz B, Duan N, First M., Ghesquiere A, Gribbin C, Glickman K (2016). Performance Characteristics and Clinical Utility of Diagnostic Criteria Proposals in Bereaved Treatment-seeking Patients. Psychological Medicine. 47(4):608-615. PubMed: 27821201
  9. Gianini L, Klein D, Call C, Mayer L, Foltin R, Walsh T, Wang Y, Wu P, Attia E. (2016). The rein- forcing effect of exercise in anorexia nervosa: Clinical correlates and relationship to outcome. Eating Disorders: Journal of Treatment and Prevention. 24(5):412-23. PMID: 27348805.
  10. Shear MK, Reynolds CF, Simon NM, Zisook S, Wang Y, Mauro C, Duan N, Lebowitz B, Skritskaya N. (2016). Optimizing Treatment of Complicated Grief: A Multicenter Randomized Clinical Trial. JAMA Psychiatry. 73(7):685-694.
  11. Gianni L,Call C,Walsh T,Wang Y,Wu P,Attia E.(2016).Physicalactivityandpost-treatment weight trajectory in anorexia nervosa. International Journal of Eating Disorders. 49(5):482-9. PMID: 26712105.
  12. Robinaugh DJ, Mauro C, Bui E, Stone N, Shah R, Wang Y, Skritskaya NA, Reynolds C, Zisook S, O’Connor M, Shear MK, Simon NM (2015). Yearning and its Measurement in Complicated Grief. Journal of Loss and Trauma. 21(5): 410-420.
  13. Gianini L, Liu Y, Wang Y, Attia E, Walsh T, Steinglass J. (2015). Abnormal eating behav- ior in video-recorded meals in anorexia nervosa. Eating Behaviors. 19, 28-32. PMCID: PMC4644429
  14. Bui E, Mauro C, Robinaugh DJ, Skritskaya NA, Wang Y, Gribbin C, Ghesquiere A, Horen- stein A, Duan N, Reynolds C, Zisook S, Simon NM, Shear MK. (2015). The Structured Clinical Interview for Complicated Grief: Reliability, Validity, and Exploratory Factor Analysis. Depres- sion and Anxiety. 32(7):485-92. PMCID: PMC4565180.
  15. Marder K, Wang Y, Alclay R, Mejia-Santana H, Tang M, Lee A, Ray D, Mirelman A, Saunders- Pullman R, Clark L, Ozelius L, Orr Urtreger A, Giladi N, Bressman S for the LRRK2 Ashkenazi Jewish Consortium. (2015). Age Specific Penetrance of the LRRK2 G2019S Mutation in the Michael J. Fox Ashkenazi Jewish (AJ) LRRK2 Consortium. Neurology. 85(1):89-95. PMCID: PMC4501942.
  16. Marino L, Nossel I, Choi J, Neuchterlein K, Wang Y, Essock S, Bennett M, McNamara K, Mendon S, Dixon L. (2015) The RAISE Connection Program for Early Psychosis: Secondary Outcomes and Mediators and Moderators of Improvement. Journal for Nervous and Mental Disease. 203(5):365-71. PMCID: PMC4414797
  17. Dixon L, Goldman H, Bennett M, Wang Y, Mcnamara K, Mendon S, Goldstein A, Choi C, Lee R, Lieberman J, Essock S. (2015) Implementing Coordinated Specialty Care for Early Psychosis: The RAISE Connection Program. Psychiatric Services. 66(7), 691-698.
  18. Hellerstein DJ, Erickson G, Stewart JW, McGrath PJ, Hunnicutt-Ferguson K, Reynolds SK, Ohea D, Chen Y, Withers A, Wang Y (2015). Behavioral activation therapy for return to work in medication-responsive chronic depression with persistent psychosocial dysfunction. Comprehensive Psychiatry. 57:140-147. PMID: 25464836.
  19. Liu Y, Zeng D, and *Wang Y. (2014). Use of personalized Dynamic Treatment Regimes (DTRs) and Sequential Multiple Assignment Randomized Trials (SMARTs) in mental health studies. Shanghai Archives of Psychiatry. 26(6): 376-83. PMCID: PMC4311115.
  20. Shear K, Wang Y, Skritskaya N, Duan N, Mauro C, Ghesquiere A. (2014). Treatment of Complicated Grief in Elderly Persons: A Randomized Controlled Trial. JAMA Psychiatry. 71(11), 1287-1295.
  21. Bui, E., Horenstein, A., Shah, R., Skritskaya, N.A., Mauro, C., Wang, Y., Duan, N., Reynolds, C.F., Zisook, S., Shear, K.M., Simon N.M. (2014). Grief-related Panic Symptoms in Compli- cated Grief. Journal of Affective Disorders. 170:213-6. PMID: 25254619
  22. Steinglass J, Kaplan S, Liu Y, Wang Y, Walsh T (2014). The (Lack of) Effect of Alprazolam on Eating Behavior in Anorexia Nervosa. International Journal of Eating Disoders. 47(8):901-4. PMID: 25139178
  23. Kimhy D, Vakhrusheva J, Liu Y, Wang Y. (2014). Use of Mobile Assessment Technologies in Inpatient Psychiatric Settings. Asian Journal of Psychiatry. 10 (2014): 90-95.
  24. Steinglass J, Albano A, Simpson B, Wang Y, Zou J, Attia E, Walsh T. (2014). Confronting Fear: Exposure and Response Prevention for Anorexia Nervosa. International Journal of Eating Disorders. 47(2):174-80.
  25. Bui E, Robinaugh D, LeBlanc N, Wang Y, Skritskaya N, Mauro C, Simon N, Shear K. (2013). Peri-loss Dissociation, Symptom Severity and Treatment Response in Complicated Grief. De- pression and Anxiety. 30(2):123-128. PMID: 23212730.
  26. Maher M, Wang Y, Zuckoff A, Wall M, Franklin M, Foa E, Simpson B. (2012) Predictors of Patient Adherence to Cognitive Behavioral Therapy for Obsessive Compulsive Disorder. Psychotherapy and Psychosomatics. 81, 124-126. Lead statistician on the study; Designed and conducted the analyses.
  27. Attia E, Kaplan A, Walsh T, Gershkovich M, Yilmaz Z, Musante D, Wang Y. (2011). Olanzap- ine versus Placebo for Outpatients with Anorexia Nervosa. Psychological Medicine. 41(10):2177- 82. Lead and sole statistician on the study; Participated in designing the study.
  28. Cabassa L, Druss B, Wang Y, and Lewis- Fernandez R. (2011). Collaborative planning ap- proach to inform the implementation of a health care manager intervention for Hispanics with serious mental illness: A study protocol. Implementation Science. 6:80. Sole statistician on the study; Participated in designing the study.
  29. Simpson B, Allan Zuckoff A,M Maher, M, Page J,Franklin M,Foa E,Schmidt A, Wang Y. (2010). Challenges Using Motivational Interviewing as an Adjunct to Exposure Therapy for Obsessive-Compulsive Disorder. Behavioral Research and Therapy. 48(10):941-948. PMID: 20609435. Sole statistician on the study; Designed and conducted the analyses.
  30. Simpson B, Maher M, Wang Y, Foa E, Franklin M., Bao Y (2010). Patient Adherence Predicts Outcome from Cognitive-Behavioral Therapy in Obsessive-Compulsive Disorder. Journal of Consulting and Clinical Psychology. 79(2):247-52. PMID: 21355639. Senior statistician; Designed and directed research assistant to conduct the analyses.
  31. Steinglass J, Sysko R, Mayer L, Berner L, Schebendach J, Wang Y, Chen H, Albano A, Simpson B, and Walsh T. (2010). Pre-meal anxiety and food intake in Anorexia Nervosa. Appetite. 55(2):214-218. PMID: 20570701. Senior statistician on the study; Designed the analyses and directed a research assistant to perform the analyses.
  32. Sysko R, Sha N, Wang Y, Walsh T. (2010). Early response to antidepressant treatment in Bulimia Nervosa. Psychological Medicine. 40(6): 999-1006. Senior statistician on the study; Designed the analyses and directed a research assistant to conduct the analyses.
  33. Poduri A, Wang Y, Gordon D, Barral-Rodriguez S, Barker-Cummings C, Ulgen A, Chitsaz- zadeh V, Hill R, Risch N, Hauser A, Pedley T, Walsh C, and Ottman R. (2009). Novel suscep- tibility locus at chromosome 6q16.3-22.31 in a family with GEFS+. Neurol. 73(16):1264-72. PMID: 19841378. Sole statistician on the study; Conducted all analyses of the study.
  34. Jiang R, Burke G, Enright P, Newman A, Margolis H, Cushman M, Tracy R, Wang Y, Kronmal R, and Barr G (2008). Inflammatory markers and longitudinal lung function decline in the elderly. Am J Epidemiol. 168(6):602-10. PMID: 18687665. Sole statistician on the study; Participated in designing and conducting the analyses of the study.
  35. Tonorezos ES, Karpati AM, Wang Y, Barr RG (2008). Does the relationship between asthma and obesity differ by neighborhood? Respir Med. 102(12):1797-804. PMID: 18707858. Sole statistician on the study; Participated in the design; Conducted all analyses of the study.
  36. Wang Y, Clark LN, Louis ED, Mejia-Santana H, Harris J, Cote LJ, Waters C, Andrews D, Ford B, Frucht S, Fahn S, Ottman R, Rabinowitz D and Marder K (2008). Risk of Parkinson’s disease in carriers of Parkin mutations: estimation using the kin-cohort method. Arch Neurol. 65(4):467-474.PMID: 18413468. (Featured in the editorial of the same issue). Participated in the design; Conducted all analyses of the study.
  37. Chih-Ching Y, Barr G, Powell C, Mesia-Vela S, Wang Y, Hamade N, Austin J and Santella R (2008). Association between cigarette smoking and oxidized plasma proteins. Environ Res. 106:219-225. PMID: 17996865. Sole statistician on the study; Conducted all analyses of the study.
  38. Clark LN, Ross BM, Wang Y, Mejia-Santana H, Harris J, Louis ED, Cote LJ, Andrews H,Fahn S, Waters C, Ford B, Frucht S, Ottman R and Marder K (2007). Mutations in the Glucocere- brosidase gene are associated with Early-Onset Parkinson’s disease. Neurol. 69:1270-1277. Sole statistician on the study; Participated in design; Conducted all analyses of the study.
  39. Freda PU, Chung WK, Matsuoka N, Walsh JE, Kanibir MN, Kleinman G, Wang Y, Bruce JN and Post KD (2007). Analysis of GNAS mutations in 60 growth hormone secreting pitu- itary tumors: correlation with clinical and pathological characteristics and surgical outcome based on highly sensitive GH and IGF-I criteria for remission. Pituitary. 10(3):275-82. PMID: 17594522. Sole statistician on the study; Participated in design; Conducted all analyses of the study.
  40. Gordon PH, Wang Y, Doorish C, Lewis M, Battista V, Mitsumoto H and Marder K (2007). A screening assessment of cognitive impairment in patients with ALS. Amyotroph Lateral Scler. 8(6):362-365. PMID: 17852014. Sole statistician on the study; Participated in design; Conducted all analyses of the study.
  41. Clark LN, Afridi S, Karlins E, Wang Y, Mejia-Santana H, Harris J, Louis ED, CoteL J, Andrews H, Fahn S, Waters C, Ford B, Frucht S, Ottman R, and Marder K (2006). Case-control study of the Parkin gene in early onset PD. Arch Neurol. 63(4): 548-52. PMID: 16606767. Sole statistician on the study; Participated in design; Conducted all analyses of the study.
  42. Clark LN, Wang Y, Karlins E, Saito L, Mejia-Santana H, Harris J, Louis ED, Cote LJ, An- drews H, Fahn S, Waters C, Ford B, Frucht S, Ottman R and Marder K (2006). Frequency of LRRK2 mutations in early- and late-onset Parkinson disease. Neurol. 67(10): 1786-91. Sole statistician on the study; Participated in design; Conducted all analyses of the study.
  43. Yip N, Kawut SM, Lederer DJ, Wilt JS, Wang Y, Sternberg D, D’Ovidio F, Sonett JR and Arcasoy SM (2006). Immunoglobulin G levels before and after lung transplantation. Am J Respir Crit Care Med. 173(8):917-21. PMID: 16399990. Sole statistician on the study; Participated in design; Conducted all analyses of the study.