Data Analytics Injury Prevention

XINJIAN ZAHNG

Applied statistics team, Data Analytics Branch (DAB), Division of Injury Prevention (DIP), National Centers for Injury Prevention and Control (NCIPC), Centers for Disease Control and Prevention (CDC), 4770 Buford Hwy NE, Atlanta, GA 30341, Tel: 470-***-****;

Email: *************@*****.***

EDUCATION

MS Mathematics and statistics, Georgia State University, Atlanta, 08/2007

Thesis: HIV/AIDS Relative Survival Analyses

PhD Microbiology & Immunology, Institute of virology, WHO collaboration

laboratory, Chinese Academy of Preventive Medicine, Beijing,

(China CDC), Beijing 07/1996

Dissertation: Construction, expression and characterization of the fusion

protein consisting of diphtheria toxin and human IL-6.

MS Microbiology & Immunology, Xi'an Medical University, Xi’an,

Shaanxi Province, China 07/1991

Thesis: Preparation and investigation of HBV specific transfer factor

MD Medical Science, Xian Medical University, Xi’an, Shaanxi Province,

China 07/1985

MEMBERSHIPS

Member of the American Statistical Association 2009-Now

Member of the American Society of Microbiology 2003-2004

Toastmasters International Memberships 2007-2018

US Tennis association member (USTA) 2019-Now

Atlanta Lawn Tennis association member 2019-Now

PROFESSIONAL ACTIVITIES

12/2014- present,

Mathematic Statistician (GS-1529-13-7, 40 hours/week), Applied statistics team, Data Analytics Branch (DAB), Division of Injury Prevention (DIP), National Centers for Injury Prevention and Control (NCIPC), Centers for Disease Control and Prevention (CDC), Atlanta, GA 30329.

As lead statistician to provide advanced statistical consultation and technology supports (longitudinal data analysis from national complex survey frame, random effect models/mixed models/multilevel model, Bayesian simulation for missing data and sensitivity analysis) for NCIPC’s milestone projects: “Examination of head impact exposures among youth football athletes”; Teens and seat belt use. The projects I supported including questionnaires design and data quality control for 2015-2016, the National Intimate Partner and Sexual Violence Survey (NISVS), Youth Risk Behavior Surveys (YRBS), and National Survey of the Use of Booster Seats (NSUB), and Evaluation of STEADI – Stopping Elderly Accidents, Deaths and Injuries (STEADI). Summarized, presented, and interpreted statistical analyses results to colleagues, leaders, and prepared reports and method parts for publications.

Provided advanced statistical theory and technique support for the following projects:

1.Provided technical guidance to an Emory Student in the use of appropriate statistical approaches for an analysis; demonstrated code to run log-binomial models using the copy method in instances of non-convergence.

2.Produced national estimates (percentages, counts, corresponding confidence intervals, relative standard errors) for a variety of violence-related outcomes using National Intimate Partner and Sexual Violence Survey (NISVS 2012) data;

3.Lead the analysis for generating 2015 National Intimated Partner and Sexual Violence Survey (NISVS 2015) CDC report, including organizing, cleaning data, evaluating data quality (calculation of the response rate), and development of the user guide for public access.

4.Associations or Difference of Intimate Partner Violence and Different Health Conditions

by using 2010/2011/2012 NISVS data.

5.Characterizing Sexual Victimization in Youth: 2012 National Intimate Partner & Sexual

Violence Survey (2012 NISVS).

6.Analysis for a National Profile of Trauma Brain Injury (TBI) in Children by using

2012 National Survey of Children’s Health (NSCH) Data.

7.Undetermined risk factors for suicide among youth, ages 10–24 — Santa Clara County, CA, 2016 by using CDC WONDER data, Behavioral Risk Factor Survey (BRFS) and California Health Kid Survey (CHKS) data. Provided suggestion for the research group regarding how to select appropriate statistical models for the suicide count data, and clearly interpret the analysis results for CDC and outside collaborative partners (California public Health Department), the models were changed after my comments, the analysis report was awarded by the center of NCIPC as 2016 front public health research project.

8.Teens and Seatbelt Use: What Makes they click, by using the 2011 state Youth Risk Behavior Surveys (YRBS). The generalized estimating equation (GEE) and fully conditional specification FCS multiple imputation were used.

9.Three country suicide rate comparison: “the extent to which societal characteristics can explain differences in suicide rate and homicide rate across populations for USA, Canada and Australia”. Multivariate mixed model was adapted for assessing the country and state level (within country-cluster/nested) effect of the risk factors in suicide rate among different countries. The results were presented in CDC BIG seminar (2020) and SAG conference (2022).

10.Second analysis for a National Profile of Trauma Brain Injury (TBI) in Children by using

National Survey of Children’s Health (NSCH) 2016/2017 Data.

11.A comparison of national estimates from the National Survey of the Use of Booster eats (NSUBS) and the Estilos and FallStyles surveys.

12. Estimated Perinatal HIV Infection Among Infants Born in the United States, 2002-2013. This a collaboration project with my former colleagues at DHAP, the article was published at JAMA Pediatr (2017), which attracted wide media attention, including TIME (http://time.com/4706622/mother-child-hiv-transmission-aids/).

13.National Intimate Partner and Sexual Violence Survey (NISVS-3), review the questionnaires for the NISVS 2016/2017 national survey, to correct the logic/typo errors for the manuscript before the protocol implantation, provided comments and suggestion for the computation of the response rate, bias between the respondents and non-respondents, as well as the total survey error (TSE). For the same study, I conducted a critical review of the document, comparing it with earlier data years, and uncovering a missing weight component. Review of redesigned National Intimate Partner and Sexual Violence Survey (NISVS-3), Option Year 1. These items have been critical in obtaining all of the necessary information for these deliverables prior to contract’s end for the data collection period and will be used as a model for future data collection periods specified in the contract.

14.Analysis of Motor Vehicle Injury Prevention in Eight American Indian/Alaska Native Communities: Results from the 2010-2014 CDC Tribal Motor Vehicle Injury Prevention Program. Provided appropriate statistical approaches to model the motor vehicle crash and injury, and the seatbelt use data for CDC and outside public health researcher (University of North Carolina). The collaborator agree that more suitable approaches were selected based the data distribution feature (using negative binomial model to account for the over dispersion in count data). Analysis models were changed under my comments.

15.Bayesian MCMC for count data, Head impact data (2018) in a youth football league was collected. The goal is to determine if there is a difference in the number of head impacts between tackle football and flag football athletes. Bayesian MCMC procedures were performed, multiple imputation, ZIP, and random errors were incorporated simultaneously, the analysis results were used by CDC as education materials by communication team at NCIPC, and the analyses were awarded as NCIPC 2021 excellence work in an epi project.

16.Generalized estimating equation (GEE) was implemented at evaluation of the intervention effect for STEADI – Stopping Elderly Accidents, Deaths and Injuries (STEADI). It is a longitudinal survey study; the intent of this intervention project will be to prevent falls in recently discharged patients. Reviewed the quarterly collected data from contract company, calculated the response rate and fall incidence rate. Provided technical assistance for data quality checking and interpreted the data structure (time serial data) for contract company to improve data collection, and continuously improve the subject recruit and intervention procedure. The analysis was finished, and manuscript was under development.

17.Analysis of the school and school correlation, school level effect for the concussion experiences in a convenience sample of 10 schools.

18.Surveillance for Disparities in Traumatic Brain Injury-Related Assaults— United States, 2000-2017, from Healthcare Cost and Utilization Project (HCUP) data.

19.COVID-19 Epidemiology and Vaccination Coverage in the Era of the Delta Variant, 2021.

Based on project objective, developed detail analysis plan, integrated the data from different data resources (WHO COVID-19 epi data, WHO/CDC COVID-19 vaccine data, world bank data, etc.). The analysis results were forwarded to high level agency leader and policy makers for COVID-19 response.

20.SARS-CoV-2 genomic surveillance and mutant emergency and distribution in South America Countries. Based on knowledges in molecular virology, immunology, infectious diseases and statistical knowledge and skills, common variables were generated to combine the data from different data resources (WHO COVID-19 epi data, WHO/CDC SARS-CoV-2 variant data, world bank data, etc.). which provided critical assistance for COVID-19 response (international genomic surveillance), my COVID-19 response for genomic surveillance was awarded by CDC Director at CDC/ATSDR 70th annual celebration event.

21.Multiple year data set/weight was generated by using national level survey data (Youth Risk Behavior Survey-YRBS, United States, 2013–2019)) to provide National and state level estimates for the Prevalence of middle school students who rarely or never wore helmet when bicycling, rollerblading or skateboarding.

22.Analyzing multi-year survey data of National Survey of Children’s Health, Multiple year data set (2016/2017/2018/2019 National Survey of Children’s Health (NSCH) was prepared, and

Single year and multiple year weight adjusting was finished. Data/variable consistency across years was primarily looked; Multi-Year Estimate program codes (SAS survey methods and SUDDAN) were provided.

23.Development of User Guide for 2011 NISVS data: https://www.icpsr.umich.edu/web/ICPSR/studies/37520;

24.Development of User Guide for 2012 NISVS data: https://www.icpsr.umich.edu/web/ICPSR/studies/37581

25.Development of User Guide for 2015 NISVS data:

https://www.icpsr.umich.edu/web/ICPSR/studies/37632

All the estimate numbers, tables, figures were generated by myself and cross-checked with other collaborators (data managers, statisticians, PIs).

26.STEADI II –checked the variables and data quality, defined the variables with PI and contractors, Use generalizing estimating equation (GEE) to evaluate the intervention effect of STEADI in reducing the health disparity (opioids use) among the high-risk groups in elder people.

27.Review article: “Mutations and phylogenetic analyses of SARS-CoV-2 variants ” for the journal of Frontiers in Microbiology.

28.To review a manuscript entitled: Impact evaluation of the global COVID-19 vaccination campaign for the journal- Emerging Infectious Diseases.

29.To review a manuscript entitled: The Mutational Landscape of SARS-CoV-2 Variants of Concern Recovered from Egyptian Patients in 2021 for the journal- Frontiers in Microbiology.

30.To review a manuscript entitled: Deep learning models to predict fatal pneumonia.

using chest x-ray images for the journal- Canadian Respiratory Journal.

31.Presentation: “mixed model and its application in injury prevention at DIP light science session round and CDC SAG (2022, June).

32.Presentation: “Generalized estimating equation-GEE and its application in intervention (STEADI) evaluation to reduce the elder fall (August) at DAB/DIP/NCIPC.

33.Invited as guest editor for the Journal: “Frontiers in Public Health” to develop a topic at advanced approaches at statistical and molecular epidemiology for public health.

34.Trend Analysis: Number of Bot users over time (perhaps overlaid with COVID19 case data), national Proportion of Bot users reporting COVID19 symptoms over time (perhaps overlaid with COVID19 case or % positive tests data).

35.Verification analysis: “Prevalence estimates of driver drug use from the National Survey on Drug Use and Health (NSDUH) data”. Four-year (2016/2017/2018/2019) NSDUH datasets were generated, based on the analysis plan, complex survey features (unequal probability, multiple stage, cluster sampling) were incorporated in SUDAAN programs, outputs/tables/figures were crossed checked with the manuscript.

36.Invited as guest editor by “Frontiers in Public Health” to develop a topic: “advanced methods and model selections in viral evolution and phylogenetic analysis”.

37.Confirmation analysis: “The association between the advance child credit payments and child abuse and neglect relative hotline contacts”. I was invited to cross check that the interrupted time serial (ITS) approaches and the results interpretation were appropriate, SAS and STATA, R programs were applied for comparison.

38.Invited as guest/co-editor for the Journal: “Frontiers in Public Health” to develop a topic/section for the journal: “Model selection in viral evolution and phylogenetic analysis”. Review manuscripts related to H1N9 mutant evolution,

39.STEADI III –evaluation of cost effectiveness of STEADI in outpatient care at Emory University Hospital. Confirm the analysis results from Emory-NORC contractors, by using Bayesian MCMC approaches to implement zero inflated Poisson and binomial models for multiple imputations to compare the results from binormal and Poisson models (applied by contractor company).

40.Provided statistical knowledge and technology supports for meta-analysis: “Violence prevention through U.S. economic support policies: a systematic review and meta-analysis, generated the data extract form, and wrote the method part for CDAP.

41.Produced data brief report for national estimates (percentages, counts, corresponding confidence intervals, relative standard errors) for intimate partner violence-related outcomes (IPV-impacts) using 2023 National Intimate Partner and Sexual Violence Survey (NISVS-5) data.

42.Confirmation analysis: “Racial/ethnic disparities in intimate partner homicide are associated with social determinants of health, not race/ethnicity. To check the model selection: “negative binomial modeling the associations between intimate partner homicide and social determinants of health (SDOH)”, an confirm the method and results-tables and figures.

43.Multilevel modeling, small samples, & Bayesian Estimation: “to interpret Bayesian modeling frames, Markov chain Monte Carlo (MCMC), prior selections and posterior estimates for evaluation of the violence intervention effect at multiple schools/classes for random clustered control trail (RCT).

44.Developed the project and provided statistical knowledge and technology supports for The Impact of Employment and Social Emotional Support on Adults with Adverse Childhood Experiences (ACEs) and Frequent Mental Distress (FMD).

45.Latent class analysis- LCA Provided statistical knowledge and technology supports for The Behavioral health profiles and adverse outcomes among individuals with polysubstance use: a latent class analysis of the National Survey of Drug Use and Health.

46.NISVS-2024, performed data quality and consequence and follow up check, (data delivered from contract company-RTI), prepared data brief report for national estimates (percentages, counts, corresponding confidence intervals, relative standard errors) for intimate partner violence-related outcomes (IPV-impacts).

03/2007- 12/28/2014

Mathematic statistician, GS-1529-12-8 (40 hours/week), Quantitative Sciences and Data Management Branch, Division of HIV/AIDS Prevention (DHAP), Centers for Disease Control and Prevention (CDC), Atlanta, GA 30329.

As lead statistician in monitoring HIV drug resistance by using HIV (genomic sequence) molecular surveillance data. Provided statistical analyses and consultation for multidisciplinary research projects, including large and complicated data management, behavior intervention analysis, sample size calculation, sample survey analysis, appropriate statistical model selection, Bayesian simulation, appropriately applied advanced statistical theories, principles, and concepts into HIV prevention related researches, clear interpretation of statistical analyses results to clients, preparation of reports and manuscripts for publications. Provided expert consultations and technology supports especially for DHAP’s statistical genetics analyses programs.

1.Using HIV phylogenetic clusters to make statistical inferences regarding HIV transmission among MSM, 2001-2012, United States by using molecular HIV surveillance data (HIV pol sequence for HIV drug resistance surveillance),

2.Provided consulting and technology supports for Norovirus molecular epidemiology, by using bioinformatics, next-generation sequencing (NGS) data analysis, Bayesian phylogenetic analysis for former colleague at Rollins School of Public Health, Emory University,

3.Provided consultations and technology supports for using Bayesian phylogenetic analysis of hepatitis C virus evolution to former colleague at University of Utah.

4.Provided consultation for Using SNPs to Discriminate Virulent from Carriage Genomes of Neisseria meningitides,

5.Legacy: provided genetic statistics, and bioinformatics technique support to the project Legacy- to estimate the drug resistance prevalence in perinatal and adult HIV patients by using HIV pol sequence, clinical and laboratory data,

6.Using Maximum likelihood (MEGA4) and Bayesian evolution approaches (BEAST) to investigate the HIV transmission network among the risk group of men sex men (MSM) with HIV drug resistance data (HIV pol sequences) from USA HIV drug resistance surveillance system,

7.Evolution of the correlations among CTL immune escape mutations and HIV drug resistance mutations by using HIV pol sequence from AIDS patients experienced antiviral treatment.

8.Evaluation of non-B HIV-1 subtype surveillance in the United States, 2008. To

estimate the sample size and power to catch 4.8%-5.8% drug resistance prevalence of HIV non-B subtype,

9.CDC-Botswana pre-exposure prophylaxis (PreP) HIV project: CD4 declines, viral load and HIV drug resistance patterns among those on TDF/FTC versus placebo,

10. Ranking the HIV drug resistance mutations by genetic statistics and bioinformatics approaches,

11. Longitudinal complex sample survey: “HIV knowledge change overtime for delinquent youth” SUDAAN programs with longitudinal features and complex survey, design of stratification, clustering and weighting were used. Based on the study design and data structure, I developed project analysis plan, selected appropriate analysis approaches.

12.Longitudinal study to evaluate the intervention effect: “Sisters Informing Sisters about Topics on AIDS-SISTA” in reducing HIV risk behavior. Generalized estimating equation (GEE) and Mixed-effects regression models (MRM) were applied.

13.Recent trends in the incidence and morbidity associated with perinatal human

immunodeficiency virus infection in the United States, Poisson and Binomial models were used.

14.Life expectancy after HIV diagnosis based on USA. National HIV surveillance data.

Modified “life table” method was applied

15.Health equality analysis of HIV infected patients. Multiple imputations, reporting

delay weights and death weights were applied to adjust the HIV/AIDS surveillance cases for estimating the absolute and relative differences of life expectancy.

16.HIV counseling, testing, and referral (CTR). Multivariate analyses for variables of

interest was conducted by using multiple logistic regression.

17.Estimating the number of “unique persons” tested for HIV by using test level data

collected from CDC-funded programs,

18.Neonatal Male Circumcision (MC) Prevalence trend — United States, 2002-2009,

19.MC-AE Prevalence trend analysis. Prevalence trend of male circumcision related

adverse events (MC-AE) analysis will be performed.

20.Estimation of HIV-exposure infants born from HIV+ women in the United States.

HIV infected women including HIV+, AIDS, reporting delayed childbearing

Women. HIV transmission rate from mother to infant was derived from different resources. Also missing data was imputed, The data was from Enhanced HIV/AIDS Reporting System (eHARS).

21.Model selection and sensitivity analyses for estimating HIV-exposed infants.

HIV infected women including HIV+, AIDS, reporting delayed childbearing

Women. Also missing data was imputed, The data was from Enhanced HIV/AIDS Reporting System (eHARS).

22.Provided consulting regarding how to perform contrast and stratification analysis by

means of proportional hazards regression (PHREG) model,

23.Explore: provided technique support for explore project, which was a secondary

analysis to evaluate condom use efficacy in prevention of HIV infection in MSM

subjects,

24.Partner study: provided statistical technique support to a survey study,

25.HIV test in MSM; provided statistical technique support to screen the risk factors

associate with HIV non-testing in MSM by using NHANES data,

26.MMP: provided statistical support for the medical monitoring project (MMP), using

SAS-callable SUDAAN programs to analysis the national survey data.

27.TDF2 Prep study, CDC-Botswana HIV project: Determination of the reliability of BV

blue rapid test method as a diagnostic test for bacterial vaginosis (BV) and sexual risk

behavior associated with BV in a Prep trial in Botswana,

28.HIV-related death project: Trend analysis for HIV-attribute and non-HIV attribute

Death from 2000 to 2008 In USA, and identify the risk factors related to HIV-attribute

and non-HIV attribute death.

28.Oraquick HIV test: Reliability of a rapid HIV (Oraquick HIV test) screening test as a

diagnostic test for screening HIV infection in the CDC pre-exposure prophylaxis

(PrEP) trial at Thailand.

29. TDF-2 Study Proposal: Susceptibility of study participant lymphocytes to HIV

infection ex vivo.

31. Screening Targeted Populations to Interrupt On-going Chains of Transmission with

Enhanced Partner Notification (STOP Study).

32. Web-survey data analysis: “on HIV risk and preventive behaviors among MSM”.

33. Sample size and power estimation for Emory research ground application (investigate

the role of bacteria in the colonic PepT1 expression-induced increase of colitis-

associated cancer). The project was rewarded by National Institute of Health (NIH).

34. Statistical consultant for NIH RO3 Project: “Prognostic Value of Membrane

Progesterone Receptor Alpha in Breast Cancer” and the program is NCI Small Grants

Program for Cancer Epidemiology (R03), PAR-12-039”.

35. Assess the acceptability of ARV-Based HIV Prevention Methods in a Rural Kenyan

Health and Demographic Surveillance Community.

36. Estimated the incidence of HIV perinatal infection by using Bayesian Markov chain

Monte Carlo (MCMC) to obtain the confidence interval (CI) for complicated estimate.

Since HIV infected women including HIV+, AIDS, reporting delayed childbearing

Women. The data was from Enhanced HIV/AIDS Reporting System (eHARS).

the article was published at JAMA Pediatr (2017), which attracted wide media attention,

including TIME (http://time.com/4706622/mother-child-hiv-transmission-aids/).

08/2005 - 08/2007

Department of Mathematics and Biostatistics

Georgia State University, Atlanta, GA

Graduate Research Assistant

Analyses of National Cancer Institute Surveillance Epidemiologist and End Results data (SEER Http://www.seer.gov.)

Provided data manipulation, importing large external data set into SAS and exporting SAS data or

outputting to non-SAS data files (MS access, HTML, Excel and SPSS); Performed SAS data programming, editing,sub-setting, sorting, merging, restructuring, recoding, labeling, formatting,and summarizing data, as well as doing loop and creating arrays.

Performed statistical analyses with linear regression, logistic regression, generalized estimation equation models, non-proportional hazard model, and general linear mixed model.

Preformed sample size calculation, randomization, stratification, analysis of the treatment effect, carryover effect by conditional logistic regression for crossover clinical trials as well as analyzed survival difference among different treatments (conserving and radical surgery for breast cancer) for practice purposes.

Analyzed the random effect and fixed effect in longitudinal data by general linear mixed model or non-linear mixed models.

08/2005-08/2006

Department of Medicine,

Emory University School of Medicine,

Atlanta, GA 30322

Senior Postdoctoral Fellow

Performed molecular microbiology research in MisR/MisS two-component regulation system in Neisseria meningitides.

09/2004 - 08/2005

Department of Microbiology, Harvard University, Boston, MA

Senior Postdoctoral Fellow

Using molecular cloning and sequencing technologies to construct hepatitis C virus (HCV) adaptive mutant libraries, to select the HCV mutants, which can be replicated in mouse, to established HCV animal model,

Used SAS/BASE and SAS/STAT to analyze microbiology data for publication,

03/2000 - 09/2004

Division of Viral Hepatitis, CDC, Atlanta, GA

Associate Service Fellow (molecular epidemiology research fellow)

Developed novel molecular diagnosis technologies for identification and isolation of unknown hepatitis virus.

Performed sequencing analysis by various bioinformatics programs (DNA star, GCG, Mega4, Bayesian evolution sampling tree (BEAST), etc.

Performed large amount of molecular epidemiology analysis for HCV genotype and subtype distribution by using the blood serum samples from all over the world.

08/1998-08/2000

Southern Western Medical Center, Texas University, Dallas, TX

Postdoctoral Fellow

Developed novel generation of ricin related immune toxin for tumor targeting therapy by genetic engineering technologies.

Investigation of the selective cytotoxicity of the immunotoxin in human tumor animal model (nude mice).

08/1993 - 08/1998

Chinese Academy of Preventive Medicine, Institute of virology, Beijing, China

Assistant research professor (China CDC right now)

PhD research: “Generated and characterized diphtheria toxin related immunotoxin for tumor targeting therapy using cell culture and animal (mouse and rat)”;

As a Team lead to coordinate and implement the research: To generate and evaluate the mutants of tissue plasminogen activator (t-PA) by molecular cloning and microbiology technologies.

08/1988-08/1993

Department of Microbiology and immunology

Xian Medical University, Xian, Shaanxi Province, China

Research Associate

Preparation an characterization of human papilloma virus (HPV) 16/18 transfer factor,

Developed HBV-specific transfer factor (HBV-TF) by immunization of sheep with HBV vaccine.

Evaluated safety and toxicity assay of HBV-TF with rabbit.

Extracted hepatitis growth factor from (HGF) the liver of new born calf.

Investigated HGF effect in Hepatitis B patients.

08/1985 - 08/1988

Henan Province Disease Prevention Centers, Henan, China

Epidemiologist

Developed and implemented immunization plans for measles, polio tuberculosis, as well as DTT vaccination.

Involved in data collection and evaluation of the immunization plans.

Coordinated study-related activities.

PROFESSIONAL SKILLS

Cell and tissue cultures for purification and tittering of various bacteria and virus,

PCR, RT-PCR, Cloning, sequencing of viral and bacterial genomic sequence,

Viral and bacterial genome sequence alignment and phylogenetic analysis,

Using phylogenetic clusters to make statistical inference regarding diseases out break or

HIV transmission cluster,

Using HIV molecular surveillance to monitor HIV drug resistance,

Intensive experience at developing statistical analysis proposal for behavior intervention and longitudinal studies, statistical model selection, sample size or power calculation, case control study, crossover design, cross sectional study, sample survey, and randomized control trail.

Advanced statistical analyses of surveillance cases with adjustment of reporting delay, death weights, regression and multiple imputations for missing values.

Uncertainty and sensitivity analyses by Bayesian MCMC to compare the different intervention/prevention strategies to reduce risky behavior; and by Bayesian skyline method to evaluate the effect of different prevention methods to reduce the expected infection number of a new viral mutant.

Software expertise: SAS/Macro, S-Plus, R-WinBugs, SUDAAN, Microsoft Word, Excel, PowerPoint. EpiInfo, SPSS,

Extensive working experience at using sequence analysis Soft wares/programs: “GCG, DNAstar, Beast, MEGA, ClustW, PHYml, Tracer, Jmodeltest, MrBayes, Tree-puzzle, Phylip, etc.”.

Bowtie, BWA, genious, Mega…

SELECTED TRAINING COURSES

1. GCG application for viral sequence analysis, July 2002, CDC Corporate University

2. GCG application for molecular epidemiology, July 2004, CDC Corporate University

3. Research Methods in Epidemiology, May 2008, CDC Corporate University

4. Sample size and power calculation in clinical trials, August 2008, Denver CO,

American Statistical Association.

5. Bayesian application in clinical trials, August 2008, Denver CO, American Statistical

Association.

6. Structural equation modeling, September 2008, CDC Corporate University

7. R application in genetic association study, August 2009, Washington DC. American

Statistical Association

8. Bayesian Analysis using SAS Software. August 2009, Washington DC. American

Contact this candidate