Jichuan Wang, PhD
Children’s National Health System
Epidemiology and Biostatistics
The George Washington University School Medicine
Washington, DC 20010, USA
Dr. Wang is a Senior Biostatistician in the Center for Translational Science, Children’s National Health System, and Professor Of Epidemiology and Biostatistics, the George Washington University School of Medicine. He has been working in the field of public health studies for over two decades and has collaborated on numerous NIH and other federally funded projects. He has authored/co-authored over 100 peer-reviewed journal articles. He has written three statistics books.
Visit him at http://www.wright.edu/~jichuan.wang/
His research interests include: Quantitative methodology.
• (1984-1986) Scholarship of UNDP, United Nations
• (1987) Travel Award, Graduate School of Cornell University
• (1989-1991) Hewlett Foundation Post-doctoral Scholarship
• (2006) Editor Acknowledged Manuscript Reviewer for Structural Equation Modeling
• (2012) Outstanding services in support of Nursing Research and Quality Outcomes, Children National Medical Center
• (2012) Mentored/co-authored a presentation received an honorable mention for the 2012 Nobuo Maeda International Research Award
• (2015) Co-authored a presentation won first place for clinical work at 2015 American Society of Pediatric Otolaryngology meeting
1. Wang J. Standardization and decomposition analysis: A useful analytical method for outcome disparity study. In: Chen D, Wilson J, eds. Innovative Statistical Methods for Public Health Data. Springer/ICSA Book Series in Statistics, 2015.
2. Ayala LMR, Wang J, Anderson S, et al. Implementing a Community Bullying Awareness Intervention in an Adolescent Psychiatric Unit: a Feasibility Study Archives of Psychiatric Nursing. Archives of Psychiatric Nursing. 2015; 29: 426-433. doi: 10.1016/j.apnu.2015.06.011
3. Qi C, Kelly BC, Liao Y, et al. A Multiple Indicators Multiple Causes (MIMIC) model of internal barriers to drug treatment in China. Drug Alcohol Depend. 2015; 148: 143-149. doi: 10.1016/j.drugalcdep.2014.12.033
4. Yuan C1, Qian H, Wang J, Lev EL, Yuan A, Hinds PS. Factorial structure of a scale: Strategies Used by People to Promote Health-Chinese version. Cancer Nurs. 2015; 38: E13-E20. doi: 10.1097/NCC.0000000000000151.
5. Jacobs S, Perez J, Cheng YI, Sill A, Wang J , Lyon ME. Adolescent end of life preferences and congruence with their parents preferences: results of a survey of adolescents with cancer. Pediatric Blood & Cancer. 2015; 62: 710-714. doi: 10.1002/pbc.25358.
6. Vanderver A, Prust M, Kadom N, et al. Early-Onset Aicardi-Goutières Syndrome: Magnetic Resonance Imaging (MRI) Pattern Recognition. J Child Neurol. 2014.
7. Xie H, Wang J. Multilevel models. In: Wan, ed. Advanced Medical Statistics, Beijing, China: Science Press, 2014: 266-299.
8. Roberts-Turner R, Hinds PS, Nelson J, Pryor J, Robinson, NC, Wang J. Effects of Leadership Characteristics on Pediatric Registered Nurses Job Satisfaction. Pediatric Nursing. 2014; 40, 236-242.
9. Yuan C, Qian H, Wang J, Lev EL, Yuan A, Hinds PS. Factorial Structure of a Scale: Strategies Used by People to Promote Health-Chinese Version. Cancer Nurs. 2015; 38: E13-E20. doi: 10.1097/NCC.0000000000000151.
10. Yuan C, Wei C, Wang J, et al. Testing Measurement Invariance of the Chinese Version of the Strategies Used by Patients to Promote Health (C-SUPPH) among Patients with Cancer. JNurs Meas. 2014; 22: 184-200.
11. Kelly BC, Liu T, Yang Y, Zhang G, Hao W, Wang J. Perceived Risk of Methamphetamine among Chinese Methamphetamine Users. International Journal of Drug Policy. 2014; 25: 1076-1083. doi: 10.1016/j.drugpo.2014.05.007
12. Kenyon N, Wang L, Spornick N, et al. Nocifensive behavior in sickle cell mice is distinctly affected by strain, genotype, sex, and age. Exp Biol Med. 2014; 1-12.
13. Kelly BC, Liu T, Zhang G, Hao H, Wang J. Factors related to Psychosocial Barriers to Drug Treatment among Chinese Drug Users. Addictive Behaviors. 2014; 39: 1265-1267. doi: 10.1016/j.addbeh.2014.04.012
14. Wang J, Kelly BC. Gauging regional differences in the HIV prevalence rate among injection drug users in the U.S. The Open Addiction Journal. 2014; 7: 1-7. doi: 10.2174/1874941001407010001
15. Wang J. Mixture Modeling: A useful analytical approach for drug use studies (editorial). J Subst Abuse Alcohol. 2014; 2: 1009-1010.
16. Pestieau SR, Finkel JC, Junqueira MM, et al. Prolonged perioperative infusion of low-dose ketamine does not alter morphine use after pediatric scoliosis surgery. Pediatric Anesthesia. 2014; 24: 582-590. doi: 10.1111/pan.12417.
17. Yuan C, Wei C, Wang J, et al. Self-efficacy difference among patients with cancer with different socioeconomic status: Application of latent class analysis and standardization and decomposition analysis. Cancer Epidemiol. 2014; 38: 298-306. doi: 10.1016/j.canep.2014.02.012
18. Buckner TW, Wang J, DeWalt DA, Jacobs S, Reeve BB, Hinds PS. Patterns of Symptoms and Functional Impairments in Children with Cancer. Pediatric Blood & Cancer. 2014; 61: 1282-1288. doi: 10.1002/pbc.25029
19. Lyon ME, Jacobs S, Briggs L, Cheng Y, Wang J. A longitudinal, randomized, controlled trial of advance care planning for teens with cancer: anxiety, depression, quality of life, advance directives, spirituality. J Adolesc Health. 2014; 54: 710-717. doi: 10.1016/j.jadohealth.2013.10.206
20. Menard JC, Hinds PS, Jacobs SS, et al. Feasibility and Acceptability of the PROMIS Measures in Children and Adolescents in Active Cancer Treatment and Survivorship. Cancer Nursing. 2014; 37: 66-74. doi: 10.1097/NCC.0b013e3182a0e23d.
21. Wang J, Kelly BC, Liu T, Zhang G, Hao WMD. Factorial structure of the brief symptom inventory (BSI)-18 among Chinese drug users. Drug and Alcohol Dependence. 2013; 133: 368-375. doi: 10.1016/j.drugalcdep.2013.06.017
22. Masur D, Shinnar S, Cnaan A, et al. Pretreatment Neurocognitive Deficits and Antiepileptic Impact on Attention in Childhood Absence Epilepsy. Neurology. 2013; 81: 1572-1580. 23. Liu Y, Hinds, P doi: 10.1212/WNL.0b013e3182a9f3ca
24. Amela S, Correia H, Du S, Ding J, Gao WJ, Yuan C. Translation and Linguistic Validation of the Pediatric PROMIS Measures into Simplified Chinese using Cognitive Interviewing Methodology. Cancer Nursing. 2013; 36(5): 368-376. doi: 10.1097/NCC.0b013e3182962701
25. Ryan L, Guagliardo M, Teach SJ, et al. The association between fracture rates and neighborhood characteristics in Washington, DC children. Journal of Investigative Medicine. 2013; 61: 558-563. doi: 10.231/JIM.0b013e318280a835
26. Qi C, Kelly BC, Liu T, Liao Y, Hao W, Wang J. A latent class analysis of external barriers to drug treatment in China. J Subst Abuse Treat. 2013; 45: 350-355. doi: 10.1016/j.jsat.2013.05.004
27. Liao Y, Liu T, Cheng Y, et al. Changes in eating attitudes, eating disorders and body weight in Chinese medical university students. Int J Soc Psychiatry. 2013; 59: 578-585. doi: 10.1177/0020764012445862
28. Lyon M, Jacobs S, Briggs L, Cheng Y, Wang J. Family-centered advance care planning for teens with cancer. JAMA Pediatrics. 2013; 167: 460-467.
29. Glass P, Brennan T, Wang J, et al. Neurodevelopmental Deficits Among Infants and Toddlers with Sickle Cell Disease. Journal of Developmental & Behavioral Pediatrics. 2013; 34: 399-405. doi: 10.1097/DBP.0b013e31829c3c48
30. Reeve BB, Withycombe JS, Baker JN, et al. The first step to integrating the childs voice in adverse event reporting in oncology trials: a content validation study among pediatric oncology clinicians. Pediatric Blood & Cancer. 2013; 60: 1231-1236. doi: 10.1002/pbc.24463
31. Hinds PS, Nuss SL, Ruccione KS, et al. PROMIS pediatric measures in pediatric oncology: valid and clinically feasible indicators of patient-reported outcomes. Pediatr Blood Cancer. 2013; 402-408.
32. Kelly B, Liu T, Zhang G, Haw W, Wang J. Perceptions of HIV Risk among Methamphetamine Users in China. American Journal of Drug & Alcohol Abuse. 2013; 39: 99-102.
33. Takanohashi A, Prust M, Wang J, et al. Elevation of proinflammatory cytokines in patients with Aicardi-Goutières syndrome. Neurology. 2012; 80: 997-1002. doi: 10.3109/00952990.2012.762371
34. Dallas RH, Wilkins ML, Garcia A, Wang J, Lyon ME. Longitudinal Pediatric Palliative Care: Quality of Life & Spiritual Struggle (FACE): Design and Methods Contemporary Clinical Trials. Contemporary Clinical Trials. 2012; 33: 1033-1043.
35. Gao W, Yuan C, Wang J, Wu H, Qian X. Hinds P. A Chinese version of the city of hope quality of life – Ostomy questionnaire.Cancer Nursing. 2012; 36: 41-51. doi: 10.1097/NCC.0b013e3182479c59
36. Garvie PA, He J, Wang J, DAngelo LJ, Lyon ME. An Exploratory Survey of End-of-Life Attitudes, Beliefs and Experiences of Adolescents with HIV/AIDS and their Families. J of Pain and Symptom Management. 2012; 44: 373-385.
37. Horn IB, Mitchell SJ, Wang J, Joseph JG,Wissow LS. African American Parents Trust in their Childs Primary Care Provider.Academic Pediatrics Examining the Association between Pediatric Nurse Satisfaction, Care Quality and Clinical Outcomes in Pediatric Patients. Academic Pediatrics. 2012; 12: 399-404.
38. Wang J, Shi P, Cnaan A. SAS Macro for Nonparametric Residual Bootstrap Multilevel Modeling. Proceedings of Northeast SAS Users Group (NESUG). Portland, ME, 2011.
39. Prust M, Wang J, Morizono H. et al. GFAP mutations, age at onset, and clinical subtypes in Alexander disease.Neurology. 2011; 77(13): 1287-1294.
40. Ronzio CR, Mitchell SJ, Wang J. The Structure of Witnessed Community Violence amongst Urban African American Mothers: Latent Class Analysis of a Community Sample. Urban Studies Research. 2011; 1-9. doi: 10.1155/2011/867129
41. Oser C, Leukefeld C, StatonTindall M, et al. Rural drug users: Factors associated with substance abuse treatment utilization. International Journal of Offender Therapy and Comparative Criminology. 2011; 55(4): 567-586. doi: 10.1177/0306624X10366012
42. Oser C, Leukefeld C, Staton-Tindall M, et al. Criminality among rural stimulant users in the United States. Crime and Delinquency. 2011; 57: 600-621. doi: 10.1177/0011128708325048
43. Wang J, Lanza ST. Preface of Methods and Applications of Mixture Models. special journal issue of Advances and Applications in Statistical Sciences. 2010; 3: 1-6.
44. Wang J. Longitudinal study on growth trajectory of crack-cocaine use: Applications of group-based trajectory models. Advances and Applications in Statistical Sciences. 2010; 3: 285-310.
45. Wang J, Kelly BC, Booth BM, et al. Examining Factorial Structure and Measurement Invariance of the Brief Symptom Inventory (BSI)-18 among Drug Users. Addictive Behaviors. 2010; 35: 23-29. doi: 10.1016/j.addbeh.2009.08.003
46. Daniulaityte R, Falck R, Wang J, et al. Predictors of depressive symptomatology among rural stimulant users. J Psychoactive Drugs. 2010; 42: 435-45. doi: 10.1080/02791072.2010.10400706
47. Carlson RG, Sexton R, Wang J, et al. Predictors of Drug Abuse Treatment Entry among Rural Illicit Stimulant Users in Ohio, Arkansas, and Kentucky. Substance Abuse. 2010; 31: 1-7. doi: 10.1080/08897070903442459.
48. Wang J. Gauging growth trajectories of two related outcomes simultaneously: anApplication of parallel latent growth modeling. Advances and Applications in Statistical Science. 2009; 1: 1-23.
49. Wang J. Some issues on application of standardization and decomposition analysis. The Open Demography Journal. 2008; 1: 15-17.
50. Xu J, Rapp RC, Wang J, Carlson RG. The multidimensional structure of external barriers to substance abuse treatment and its invariance across gender, ethnicity, and age. Substance Abuse. 2008; 29: 43-54. doi: 10.1300/J465v29n01_06.
51. Falck RS, Wang J, Carlson R. Crack cocaine trajectories among users in a Midwestern American city. Addiction. 2007; 102: 1421-1431. doi: 10.1111/j.1360-0443.2007.01915.x
52. Wang J, Carlson RG, Falck RS, et al. Multiple Sample Standardization and Decomposition Analysis: An Application to Comparisons of Methamphetamine Use among Rural Drug Users in Three American States. Statistics in Medicine. 2007; 26: 3612-3623. doi: 10.1002/sim.2820
53. Wang J, Falck RS, Falck Li L, Rahman A, Carlson RG. Respondent-Driven Sampling in the Recruitment of Illicit Stimulant Drug Users in a Rural Setting: Findings and Technical Issues. Addictive Behaviors. 2007; 32: 924-937. doi: 10.1016/j.addbeh.2006.06.031
54. Falck R, Wang J, Carlson R. Health status of illicit stimulant drug users in rural Ohio. Journal of Psychoactive Drugs, SARC. 2007; 4: 401-405.
55. Falck R, Wang J, Carlson R, Krishnan L, Leukefeld C, Booth B. Perceived need for substance abuse treatment among illicit stimulant drug users in rural areas of Ohio, Arkansas, and Kentucky. Drug and Alcohol Dependence. 2007; 91(2): 107-114. doi: 10.1016/j.drugalcdep.2007.05.015
56. Xu J, Wang J, Rapp RC, Carlson RG. The multidimensional structure of internal barriers to substance abuse treatment and its invariance across gender, ethnicity, and age. Journal of Drug Issues. 2007; 37: 321-340.
57. Wang J, Carpenter JR, Kepler MA. Using SAS to Conduct Nonparametric Residual Bootstrap Multilevel Modeling with a Small Number of Groups. Computer Methods and Programs in Biomedicine, Section II: Systems and Programs. 2006; 82: 130-143.
58. Falck R, Li L, Carlson R, Wang J. The prevalence of dextromethorphan abuse among high school students. Pediatrics. 2006; 118(5): 2267-2269.
59. Booth B, Leukefeld C, Falck R, Wang J, Carlson R. Correlates of rural methamphetamine and cocaine users: results from a multisite community study. Journal of Studies on Alcohol. 2006; 67(4): 493-501.
60. Falck R, Carlson R, Wang J, Siegal H. Psychiatric disorders and their correlates among young adult MDMA users in Ohio. Journal of Psychoactive Drugs. 2006; 38(1): 19-29. doi: 10.1080/02791072.2006.10399824
61. Falck R, Wang J, Carlson R, Siegal H. Prevalence and correlates of current depressive symptomatology among a community sample of MDMA users in Ohio. Addictive Behaviors. 2006; 31(1): 90-101. doi: 10.1016/j.addbeh.2005.04.017
62. Siegal HA, Draus PJ, Carlson RG, Falck RS, Wang J. Perspectives on health among adult users of illicit stimulant drugs in rural Ohio. The Journal of Rural Health. 2006; 22: 169-173.
63. Wang J, Carlson RG, Falck RS, Siegal HA, Rahman A, Li L. Respondent-driven sampling to recruit MDMA users: a methodological assessment. Drug and Alcohol Dependence. 2005; 78: 147-157. doi: 10.1016/j.drugalcdep.2004.10.011
64. Carlson RG, Wang J, Falck, RS, Siegal HA. Drug use practices among MDMA/ecstasy users in Ohio: A latent class analysis. Drug and Alcohol Dependence. 2005; 79: 167-179. doi: 10.1016/j.drugalcdep.2005.01.011
65. Siegal HA, Falck RS, Wang J, Carlson RG, Massimino KO. Emergency department utilization by crack-cocaine smokers in Dayton, Ohio. The American Journal of Drug and Alcohol Abuse. 2005; 32: 55-68. doi: 10.1080/00952990500328737
66. Falck RS, Siegal HA, Wang J, Carlson RG, Draus PJ. Nonmedical drug use among stimulant-using adults in small towns in rural Ohio. Journal of Substance Abuse Treatment. 2005; 28: 341-349. doi: 10.1016/j.jsat.2005.02.008
67. Draus PJ, Siegal HA, Carlson RG, Falck RS, Wang J. Cracking the cornfields: recruiting illicit stimulant drug users in rural Ohio.The Sociological Quarterly. 2005; 46, 165-189.
68. Wang J. Significance testing for outcome changes via latent growth modeling. Structural Equation Modeling. 2004; 11: 375-400.
69. Falck R, Wang J, Siegal H, Carlson R. The prevalence of psychiatric disorder among a community sample of crack-cocaine users: An exploratory study with practical implications. Journal of Nervous and Mental Disease. 2004; 192: 503-507.
70. Falck R, Carlson R, Wang J, Siegal H. Sources of information about MDMA(methylenedioxymethamphetamine): Perceived accuracy, importance, and implications for prevention among young adult users. Drug and Alcohol Dependence. 2004; 74: 45-54.
71. Carlson R, McCaughan J, Falck R, Wang J, Siegal H, Daniulaityte R. Perceived adverse consequences associated with MDMA/Ecstasy use among young polydruguers in Ohio: Implications for intervention. International Journal of Drug Policy. 2004; 15: 265-274.
72. Wang J. Components of difference in HIV seropositivity rate among injection drug users between low and high prevalence regions. AIDS and Behavior. 2003; 7: 1-8.
73. Krawczyk CS, Gardner LI, Wang J, et al. Test-Retest Reliability of a Complex HIV Research Questionnaire Administered by an Audio Computer Assisted Self-Interviewing (ACASI) System. Medical Care. 2003; 41: 853-858.
74. Falck R, Wang J, Carlson RG, Siegal HA. Variability in drug use prevalence across school districts in the same locate in Ohio. Journal of School Health. 2002; 72: 288-293.
75. Falck R, Wang J, Carlson, RG, Siegal HA. The prevalence and correlates of depressive symptomatology among a community sample of crack-cocaine smokers. Journal of Psychoactive Drugs. 2002; 34: 281-289.
76. Siegal HA, Falck R, Wang J, Carlson RG. Predictors of drug abuse treatment entry among crack-cocaine smokers. Drug and Alcholo Dependence. 2002; 68: 159-166. doi: 10.1016/S0376-8716(02)00192-8
77. Wang J, Jiang B, Siegal HA, Falck RS, Carlson RG. Sexual behavior and condom use among STD patients in Jinan, China. American Journal of Public Health. 2001; 91: 650-651.
78. Wang J, Jiang B, Siegal HA, Falck RS, Carlson RG. Level of AIDS Knowledge and sexual practices among sexually transmitted disease patients in China. Sexually Transmitted Diseases. 2001; 28: 171-175.
79. Wang J, Siegal HA, Falck RS, Carlson RG. Factorial Structural of Rosenbergs Self-esteem scale among crack-cocaine drug users. Structural Equation Modeling: A Multidisciplinary Journal. 2001; 8: 275-286. doi: 10.1207/S15328007SEM0802_6
80. Falck RS, Wang J, Carlson Rg, Siegal HA. The epidemiology of physical attack and rape among crack-using women. Violence and Victims. 2001; 16: 79-89.
81. Wang J, Rahman A, Siegal HA, Fisher J. Standardization and decomposition: A useful technique to behavior and public health studies. Behavior Research Methods, Instruments, & Computers. 2000; 32: 357-366. doi: 10.3758/BF03207806
82. Falck R, Wang J, Siegal HA, Carlson RG. Longitudinal application of the Medical Outcomes Study 36-item short form health survey with not-in-treatment crack-cocaine users. Medical Care. 2000; 38: 902-910.
83. Falck R, Wang J, Carlson RG, Siegal HA. Crack-cocaine use and health status as defined by the SF-36. Addictive Behaviors. 2000; 25: 579-584.
84. Siegal HA, Carlson RG, Falck R, Wang J. Drug-using MSM focus groups: Dayton and Columbus, Ohio. In: Rhodes F, Deren S, Cottler L, et al., eds. A Multisite Study of HIV Risks in Drug-Using Men who have Sex with Men. Long Beach, California: The University Press, 2000: 7-27.
85. Siegal HA, Falck R, Wang J, Carlson RG. Crack-cocaine users as victims of physical attack. Journal of the National Medical Association. 2000; 92: 76-82.
86. Wang J, Siegal HA, Falck RS, Carlson RG, Rahman AM. Evaluation of HIV risk reduction intervention programs via latent growth curve model. Evaluation Review: A Journal of Applied Social Research. 1999; 23: 649-663.
87. Wang J. Structure equation modeling: Introduction to LISREL. In: Guo Z, ed. Advanced Statistical Analyses in Social Sciences with Applications of SPSS. Beijing: Press of Renmin University of China, 1999: 339-379.
88. Carlson RG, Wang J, Siegal HA, Falck RS. A preliminary evaluation of a modified needle-cleaning intervention using bleach among injection drug users. AIDS Education and Prevention. 1999; 10: 523-532.
89. Falck RS, Siegal HA, Wang J, Carlson RG. Differences in drug use among rural and suburban high school students in Ohio. Substance Use and Misuse. 1999; 34: 567-577.
90. Carlson RG, Falck RF, Wang J, Siegal HA, Rahman A. HIV Needle Risk Behaviors and Drug Use: A Comparison of Crack-Smoking and Non-Crack Smoking Drug Users in Ohio. Journal of Psychoactive Drugs. 1999; 31: 291-297.
91. Siegal HA, Wang J, Carlson RG, Falck RS, Fine RL. Ohios Prison-Based Therapeutic Community Treatment Programs for Substance Abusers: Preliminary Analysis of Re-Arrest Data. Journal of Offender Rehabilitation. 1999; 28: 33-48. doi: 10.1300/J076v28n03_03
92. Wang J, Siegal HA, Falck RS, Carlson RG. Needle transfer among injection drug users: A multilevel analysis. The American Journal of Drug and Alcohol Abuse. 1998; 24: 225-237.
93. Siegal HA, Falck RS, Carlson RG, Wang J, Rahman AM. Health services research among crack-cocaine users. American Behavioral Scientist. 1998; 41: 1063-1078. doi: 10.1177/0002764298041008004
94. Siegal HA, Leviton LC, Cole P, et al. Feasibility of obtaining sexual risk and STD history in the context of a drinking drivers program. Public Healt Reports. 1998; 113: 341-345.
95. Fisher J, Wang J, Wagner J. Drawing samples from hidden underserved and vulnerable populations: Methods, applications and ethical issues. In: Chapman AR, ed. Health Care and Information Ethics, Kansas City: Sheed & Ward, 1997.
96. Falck RS, Wang J, Carlson RG, Siegal HA. Factors influencing condom use among heterosexual users of injection drugs and crack cocaine. Sexually Transmitted Diseases. 1997; 24(4): 204-210.
97. Wang J, Li RM, Yu P. Differentials and determinants of divorce in Shanghai. Family Perspective. 1996; 30: 241-256.
98. Wang J,Chen J. Influence of Family Planning Programs on Transition to Motherhood Among Chinese Women. In: Wang G, ed. The Interactions of Social, Economic, & Demographic Changes in China. Colorado: Westview Press, 1996: 151-166.
99. Siegal H, Falck RS. Wang J, Carlson RG. History of sexually transmitted diseases infection, drug-sex behaviors, and the use of condoms among Midwestern users of injection drugs and crack cocaine. Sexually Transmitted Diseases. 1996; 23: 277-282.
100. Carlson RG, Siegal HA,Wang J, Falck RS. Attitudes toward Needle Sharing among Injection Drug Users: Combining Qualitativ e and Quantitative Research Methods. Human Organization. 1996; 55: 361-369.
101. Fisher J, Wang J, Wagner J. Homeless, Helpless and Hidden: Primary Data Collection Methods for Hidden Populations. Proceedings of the Fifth International Conference on Applied and Business Demography. 1996.
102. Carlson RG, Siegal HA, Wang J, Falck RS. Attitudes toward Needle Sharing among Injection Drug Users: Combining Qualitative and Quantitative Research Methods. Human Organization. 1996; 55(3): 361-369.
103. Wang J, Fisher JH, Siegal HA, Falck RS, Robert G. Carlson. Influence of Measurement Errors on HIV Risk Behavior Analysis: A Case Study Examining Condom Use among Drug Users. Structural Equation Modeling: A Multidisciplinary Journal. 1995; 2: 319-334.
104. Siegal HA, Carlson RG. Falck RS, Wang J. Drug Abuse Treatment Experience and HIV Risk Behaviors among Active Drug Injectors in Ohio. American Journal of Public Health. 1995; 85: 105-108.
105. Siegal HA, Falck RS, Carlson RG, Wang J. Reducing HIV Needle Risk Behaviors among Injection-Drug Users in the Midwest: An Evaluation of the Efficacy of Standard and Enhanced Interventions. AIDS Education and Prevention. 1995; 7: 308-319.
106. Falck RS, Ashery RS, Carlson RG, Wang J, Siegal HA. Injection Drug Users, Crack Smokers, and the Use of Human Services. Social Work Research. 1995; 19: 164-173.
107. Falck RS, Siegal HA, Wang J, Carlson RG. The Usefulness of the Health Belief Model in Predicting HIV Needle Risk Practices among Injection Drug Users. AIDS Education and Prevention. 1995; 7: 523-533.
108. Wang J. Dynamic Period Codings in Event History Analysis: A Method for Family Planning Program Evaluation. In: Weixiong L, Li RM, Hao-Chia C, Do Won H, eds. The Proceedings of the Second International Symposium on Fertility Regulation, Bethesda: U.S. Department of Health and Human Services, 1995.
109. Wang J, Fisher JH. Comments on Estimating Macro-Relationship Using Micro-Data: A One-Stage Approach. Sociological Methods & Research. 1994; 22: 520-531.
110. Wang J, Fisher JH, Chen J. Samples and Sampling Techniques. In: Magill FN, ed. Survey of Social Science: Sociology. Pasadena, California: Salem Press, 1994: 1680-1686.
111. Wang J, Fisher JH, Chen J. Measures of Variability. In: Magill FN, eds.Survey of Social Science: Sociology. Pasadena, California: Salem Press, 1994: 1153-1158.
112. Wang J, Fisher JH, Chen J. Population growth and population control. In: Magill FN, ed. Survey of Social Science: Sociology. Pasadena, California: Salem Press, 1994: 1421-1428.
113. Fisher JH, Wang J, Chen J. Life expectancy in Survey of Social Science: Sociology. In: Magill FN, ed. Pasadena, California: Salem Press, 1994: 1087-1092.
114. Siegal HA, Wang J, Forney MA, Carlson RG, Falck RS. Incarceration and HIV Risk Behaviors among Injection Drug Users: a Midwestern Case Study. Journal of Crime and Justice. 1994; 15: 85-101.
115. Carlson RG, Wang J, Siegal HA, Falck RS, Guo J. An Ethnographic Approach to Targeted Sampling: Problems and Solutions in AIDS Prevention Research among Injection Drug and Crack-Cocaine Users. Human Organization. 1994; 53: 279-286.
116. Siegal HA, Carlson RG, Falck RS, Wang J. Injection Drug Users Needle-Cleaning Practices [letter]. American Journal of Public Health. 1994; 84: 1523-1524.
117. Siegal HA, Carlson RG, Wang J, et al. Injection Drug Users in the Midwest: An Epidemiologic Comparison of Drug Use Patterns in Four Ohio Cities. Journal of Psychoactive Drugs. 1994; 26: 265-275.
118. Chen J, Wang J, Fisher JH. Demographic transition theory of population growth. In: Magill FN, ed. Survey of Social Science: Sociology. Pasadena, California: Salem Press, 1994: 499-505.
119. Wang J. Womens Preferences for Children in Shifang County, Sichuan, China. Asian and Pacific Population Forum. 1990; 4: 1-12.
120. Wang J. Determinants of Fertility Increase in Sichuan, 1981-86. Population and Development Review. 1988; 14: 481-488.
BOOKS AND EDITED JOURNAL ISSUE
• Wang J, Guo Z. Logistic Regression: Methods and Application. Beijing: China Higher Education Press, 2001.
• Wang J, Xie H, Fisher J. Multilevel Models: Applications Using SAS. Berlin: Walter de Gruyter, 2012.
• Wang J, Wang X. Structural Equation Modeling: Applications Using Mplus. New York: John Wiley, 2012.
• Wang J. Methods and Applications of Mixture Models. Special issue of Advances and Applications in Statistical Sciences. 2010.