CURRICULUM VITAE YAAKOV MALINOVSKY May 3, 2020
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BIOGRAPHICAL SKETCH Garrett M. Fitzmaurice Associate Professor Of
Principal Investigator/Program Director (Last, First, Middle): BIOGRAPHICAL SKETCH Provide the following information for the key personnel and other significant contributors in the order listed on Form Page 2. Follow this format for each person. DO NOT EXCEED FOUR PAGES. NAME POSITION TITLE Garrett M. Fitzmaurice Associate Professor of Biostatistics eRA COMMONS USER NAME EDUCATION/TRAINING (Begin with baccalaureate or other initial professional education, such as nursing, and include postdoctoral training.) DEGREE INSTITUTION AND LOCATION YEAR(s) FIELD OF STUDY (if applicable) National University of Ireland BA, MA 1983, 1987 Psychology University of London MSc 1986 Quantitative Methods Harvard University ScD 1993 Biostatistics Professional Experience: 1986-1989 Statistician, Department of Psychology, New York University 1989-1990 Teaching Assistant, Department of Biostatistics, Harvard School of Public Health 1990-1993 Teaching Fellow in Biostatistics, Department of Biostatistics, Harvard SPH 1993-1994 Post-doctoral Research Fellow, Department of Biostatistics, Harvard SPH 1994-1997 Research Fellow, Nuffield College, Oxford University, United Kingdom 1997-1999 Assistant Professor of Biostatistics, Harvard School of Public Health 1999-present Associate Professor of Biostatistics, Harvard School of Public Health 2004-present Associate Professor of Medicine (Biostatistics), Harvard Medical School 2004-present Biostatistician, Division of General Medicine, Brigham and Women’s Hospital, Boston 2006-present Foreign Adjunct Professor of Biostatistics, -
Journal Abbreviations
Abbreviations of Names of Serials This list gives the form of references used in Mathematical Reviews (MR). not previously listed ⇤ The abbreviation is followed by the complete title, the place of publication journal indexed cover-to-cover § and other pertinent information. † monographic series Update date: July 1, 2016 4OR 4OR. A Quarterly Journal of Operations Research. Springer, Berlin. ISSN Acta Math. Hungar. Acta Mathematica Hungarica. Akad. Kiad´o,Budapest. § 1619-4500. ISSN 0236-5294. 29o Col´oq. Bras. Mat. 29o Col´oquio Brasileiro de Matem´atica. [29th Brazilian Acta Math. Sci. Ser. A Chin. Ed. Acta Mathematica Scientia. Series A. Shuxue † § Mathematics Colloquium] Inst. Nac. Mat. Pura Apl. (IMPA), Rio de Janeiro. Wuli Xuebao. Chinese Edition. Kexue Chubanshe (Science Press), Beijing. ISSN o o † 30 Col´oq. Bras. Mat. 30 Col´oquio Brasileiro de Matem´atica. [30th Brazilian 1003-3998. ⇤ Mathematics Colloquium] Inst. Nac. Mat. Pura Apl. (IMPA), Rio de Janeiro. Acta Math. Sci. Ser. B Engl. Ed. Acta Mathematica Scientia. Series B. English § Edition. Sci. Press Beijing, Beijing. ISSN 0252-9602. † Aastaraam. Eesti Mat. Selts Aastaraamat. Eesti Matemaatika Selts. [Annual. Estonian Mathematical Society] Eesti Mat. Selts, Tartu. ISSN 1406-4316. Acta Math. Sin. (Engl. Ser.) Acta Mathematica Sinica (English Series). § Springer, Berlin. ISSN 1439-8516. † Abel Symp. Abel Symposia. Springer, Heidelberg. ISSN 2193-2808. Abh. Akad. Wiss. G¨ottingen Neue Folge Abhandlungen der Akademie der Acta Math. Sinica (Chin. Ser.) Acta Mathematica Sinica. Chinese Series. † § Wissenschaften zu G¨ottingen. Neue Folge. [Papers of the Academy of Sciences Chinese Math. Soc., Acta Math. Sinica Ed. Comm., Beijing. ISSN 0583-1431. -
TUTORIAL in BIOSTATISTICS: the Self-Controlled Case Series Method
STATISTICS IN MEDICINE Statist. Med. 2005; 0:1–31 Prepared using simauth.cls [Version: 2002/09/18 v1.11] TUTORIAL IN BIOSTATISTICS: The self-controlled case series method Heather J. Whitaker1, C. Paddy Farrington1, Bart Spiessens2 and Patrick Musonda1 1 Department of Statistics, The Open University, Milton Keynes, MK7 6AA, UK. 2 GlaxoSmithKline Biologicals, Rue de l’Institut 89, B-1330 Rixensart, Belgium. SUMMARY The self-controlled case series method was developed to investigate associations between acute outcomes and transient exposures, using only data on cases, that is, on individuals who have experienced the outcome of interest. Inference is within individuals, and hence fixed covariates effects are implicitly controlled for within a proportional incidence framework. We describe the origins, assumptions, limitations, and uses of the method. The rationale for the model and the derivation of the likelihood are explained in detail using a worked example on vaccine safety. Code for fitting the model in the statistical package STATA is described. Two further vaccine safety data sets are used to illustrate a range of modelling issues and extensions of the basic model. Some brief pointers on the design of case series studies are provided. The data sets, STATA code, and further implementation details in SAS, GENSTAT and GLIM are available from an associated website. key words: case series; conditional likelihood; control; epidemiology; modelling; proportional incidence Copyright c 2005 John Wiley & Sons, Ltd. 1. Introduction The self-controlled case series method, or case series method for short, provides an alternative to more established cohort or case-control methods for investigating the association between a time-varying exposure and an outcome event. -
Miguel De Carvalho
School of Mathematics Miguel de Carvalho Contact M. de Carvalho T: +44 (0) 0131 650 5054 Information The University of Edinburgh B: [email protected] School of Mathematics : mb.carvalho Edinburgh EH9 3FD, UK +: www.maths.ed.ac.uk/ mdecarv Personal Born September 20, 1980 in Montijo, Lisbon. Details Portuguese and EU citizenship. Interests Applied Statistics, Biostatistics, Econometrics, Risk Analysis, Statistics of Extremes. Education Universidade de Lisboa, Portugal Habilitation in Probability and Statistics, 2019 Thesis: Statistical Modeling of Extremes Universidade Nova de Lisboa, Portugal PhD in Mathematics with emphasis on Statistics, 2009 Thesis: Extremum Estimators and Stochastic Optimization Advisors: Manuel Esqu´ıvel and Tiago Mexia Advisors of Advisors: Jean-Pierre Kahane and Tiago de Oliveira. Nova School of Business and Economics (Triple Accreditation), Portugal MSc in Economics, 2009 Thesis: Mean Regression for Censored Length-Biased Data Advisors: Jos´eA. F. Machado and Pedro Portugal Advisors of Advisors: Roger Koenker and John Addison. Universidade Nova de Lisboa, Portugal `Licenciatura'y in Mathematics, 2004 Professional Probation Period: Statistics Portugal (Instituto Nacional de Estat´ıstica). Awards & ISBA (International Society for Bayesian Analysis) Honours Lindley Award, 2019. TWAS (Academy of Sciences for the Developing World) Young Scientist Prize, 2015. International Statistical Institute Elected Member, 2014. American Statistical Association Young Researcher Award, Section on Risk Analysis, 2011. National Institute of Statistical Sciences j American Statistical Association Honorary Mention as a Finalist NISS/ASA Best y-BIS Paper Award, 2010. Portuguese Statistical Society (Sociedade Portuguesa de Estat´ıstica) Young Researcher Award, 2009. International Association for Statistical Computing ERS IASC Young Researcher Award, 2008. 1 of 13 p l e t t si a o e igulctoson Applied Statistical ModelingPublications 1. -
Biometrics & Biostatistics
Hanley and Moodie, J Biomet Biostat 2011, 2:5 Biometrics & Biostatistics http://dx.doi.org/10.4172/2155-6180.1000124 Research Article Article OpenOpen Access Access Sample Size, Precision and Power Calculations: A Unified Approach James A Hanley* and Erica EM Moodie Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Canada Abstract The sample size formulae given in elementary biostatistics textbooks deal only with simple situations: estimation of one, or a comparison of at most two, mean(s) or proportion(s). While many specialized textbooks give sample formulae/tables for analyses involving odds and rate ratios, few deal explicitly with statistical considera tions for slopes (regression coefficients), for analyses involving confounding variables or with the fact that most analyses rely on some type of generalized linear model. Thus, the investigator is typically forced to use “black-box” computer programs or tables, or to borrow from tables in the social sciences, where the emphasis is on cor- relation coefficients. The concern in the – usually very separate – modules or stand alone software programs is more with user friendly input and output. The emphasis on numerical exactness is particularly unfortunate, given the rough, prospective, and thus uncertain, nature of the exercise, and that different textbooks and software may give different sample sizes for the same design. In addition, some programs focus on required numbers per group, others on an overall number. We present users with a single universal (though sometimes approximate) formula that explicitly isolates the impacts of the various factors one from another, and gives some insight into the determinants for each factor. -
JEROME P. REITER Department of Statistical Science, Duke University Box 90251, Durham, NC 27708 Phone: 919 668 5227
JEROME P. REITER Department of Statistical Science, Duke University Box 90251, Durham, NC 27708 phone: 919 668 5227. email: [email protected]. September 26, 2021 EDUCATION Ph.D. in Statistics, Harvard University, 1999. A.M. in Statistics, Harvard University, 1996. B.S. in Mathematics, Duke University, 1992. DISSERTATION \Estimation in the Presence of Constraints that Prohibit Explicit Data Pooling." Advisor: Donald B. Rubin. POSITIONS Academic Appointments Professor of Statistical Science and Bass Fellow, Duke University, 2015 - present. Mrs. Alexander Hehmeyer Professor of Statistical Science, Duke University, 2013 - 2015. Mrs. Alexander Hehmeyer Associate Professor of Statistical Science, Duke University, 2010 - 2013. Associate Professor of Statistical Science, Duke University, 2009 - 2010. Assistant Professor of Statistical Science, Duke University, 2006 - 2008. Assistant Professor of the Practice of Statistics and Decision Sciences, Duke University, 2002 - 2006. Lecturer in Statistics, University of California at Santa Barbara, 2001 - 2002. Assistant Professor of Statistics, Williams College, 1999 - 2001. Other Appointments Chair, Department of Statistical Science, Duke University, 2019 - present. Associate Chair, Department of Statistical Science, Duke University, 2016 - 2019. Mathematical Statistician (part-time), U. S. Bureau of the Census, 2015 - present. Associate/Deputy Director of Information Initiative at Duke, Duke University, 2013 - 2019. Social Sciences Research Institute Data Services Core Director, Duke University, 2010 - 2013. Interim Director, Triangle Research Data Center, 2006. Senior Fellow, National Institute of Statistical Sciences, 2002 - 2005. 1 ACADEMIC HONORS Keynote talk, 11th Official Statistics and Methodology Symposium (Statistics Korea), 2021. Fellow of the Institute of Mathematical Statistics, 2020. Clifford C. Clogg Memorial Lecture, Pennsylvania State University, 2020 (postponed due to covid-19). -
The American Statistician
This article was downloaded by: [T&F Internal Users], [Rob Calver] On: 01 September 2015, At: 02:24 Publisher: Taylor & Francis Informa Ltd Registered in England and Wales Registered Number: 1072954 Registered office: 5 Howick Place, London, SW1P 1WG The American Statistician Publication details, including instructions for authors and subscription information: http://www.tandfonline.com/loi/utas20 Reviews of Books and Teaching Materials Published online: 27 Aug 2015. Click for updates To cite this article: (2015) Reviews of Books and Teaching Materials, The American Statistician, 69:3, 244-252, DOI: 10.1080/00031305.2015.1068616 To link to this article: http://dx.doi.org/10.1080/00031305.2015.1068616 PLEASE SCROLL DOWN FOR ARTICLE Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor and Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of the Content. This article may be used for research, teaching, and private study purposes. -
Econometrica 0012-9682 Biostatistics 1465-4644 J R
ECONOMETRICA 0012-9682 BIOSTATISTICS 1465-4644 J R STAT SOC B 1369-7412 ANN APPL STAT 1932-6157 J AM STAT ASSOC 0162-1459 ANN STAT 0090-5364 STAT METHODS MED RES 0962-2802 STAT SCI 0883-4237 STAT MED 0277-6715 BIOMETRICS 0006-341X CHEMOMETR INTELL LAB 0169-7439 IEEE ACM T COMPUT BI 1545-5963 J BUS ECON STAT 0735-0015 J QUAL TECHNOL 0022-4065 FUZZY SET SYST 0165-0114 STAT APPL GENET MOL 1544-6115 PHARM STAT 1539-1604 MULTIVAR BEHAV RES 0027-3171 PROBAB THEORY REL 0178-8051 J COMPUT BIOL 1066-5277 STATA J 1536-867X J COMPUT GRAPH STAT 1061-8600 J R STAT SOC A STAT 0964-1998 INSUR MATH ECON 0167-6687 J CHEMOMETR 0886-9383 BIOMETRIKA 0006-3444 BRIT J MATH STAT PSY 0007-1102 STAT COMPUT 0960-3174 J AGR BIOL ENVIR ST 1085-7117 ANN APPL PROBAB 1050-5164 ANN PROBAB 0091-1798 SCAND J STAT 0303-6898 AM STAT 0003-1305 ECONOMET REV 0747-4938 FINANC STOCH 0949-2984 ELECTRON J PROBAB 1083-6489 OPEN SYST INF DYN 1230-1612 COMPUT STAT DATA AN 0167-9473 BIOMETRICAL J 0323-3847 PROBABILIST ENG MECH 0266-8920 TECHNOMETRICS 0040-1706 STOCH PROC APPL 0304-4149 J R STAT SOC C-APPL 0035-9254 ENVIRON ECOL STAT 1352-8505 J STAT SOFTW 1548-7660 BERNOULLI 1350-7265 INFIN DIMENS ANAL QU 0219-0257 J BIOPHARM STAT 1054-3406 STOCH ENV RES RISK A 1436-3240 TEST 1133-0686 ASTIN BULL 0515-0361 ADV APPL PROBAB 0001-8678 J TIME SER ANAL 0143-9782 MATH POPUL STUD 0889-8480 COMB PROBAB COMPUT 0963-5483 LIFETIME DATA ANAL 1380-7870 METHODOL COMPUT APPL 1387-5841 ECONOMET J 1368-4221 STATISTICS 0233-1888 J APPL PROBAB 0021-9002 J MULTIVARIATE ANAL 0047-259X ENVIRONMETRICS 1180-4009 -
Curriculum Vitae Jianwen Cai
CURRICULUM VITAE JIANWEN CAI Business Address: Department of Biostatistics, CB # 7420 The University of North Carolina at Chapel Hill Chapel Hill, NC 27599-7420 TEL: (919) 966-7788 FAX: (919) 966-3804 Email: [email protected] Education: 1992 - Ph.D. (Biostatistics), University of Washington, Seattle, Washington. 1989 - M.S. (Biostatistics), University of Washington, Seattle, Washington. 1985 - B.S. (Mathematics), Shandong University, Jinan, P. R. China. Positions: Teaching Assistant: Department of Biostatistics, University of Washington, 1988 - 1990. Research Assistant: Cardiovascular Health Study, University of Washington, 1988 - 1990. Fred Hutchinson Cancer Research Center, 1990 - 1992. Research Associate: Fred Hutchinson Cancer Research Center, 1992 - 1992. Assistant Professor: Department of Biostatistics, University of North Carolina at Chapel Hill, 1992 - 1999. Associate Professor: Department of Biostatistics, University of North Carolina at Chapel Hill, 1999 - 2004. Professor: Department of Biostatistics, University of North Carolina at Chapel Hill, 2004 - present. Interim Chair: Department of Biostatistics, University of North Carolina at Chapel Hill, 2006. Associate Chair: Department of Biostatistics, University of North Carolina at Chapel Hill, 2006-present. Professional Societies: American Statistical Association (ASA) International Biometric Society (ENAR) Institute of Mathematical Statistics (IMS) International Chinese Statistical Association (ICSA) 1 Research Interests: Survival Analysis and Regression Models, Design and Analysis of Clinical Trials, Analysis of Correlated Responses, Cancer Biology, Cardiovascular Disease Research, Obesity Research, Epidemiological Models. Awards/Honors: UNC School of Public Health McGavran Award for Excellence in Teaching, 2004. American Statistical Association Fellow, 2005 Institute of Mathematical Statistics Fellow, 2009 Professional Service: Associate Editor: Biometrics: 2000-2010. Lifetime Data Analysis: 2002-. Statistics in Biosciences: 2009-. Board Member: ENAR Regional Advisory Board, 1996-1998. -
Ying Zhang, Phd ______
Ying Zhang, PhD ________________________________________________________________ Home and Campus Addresses 19204 Sahler St. Elkhorn, NE 68022 Department of Biostatistics College of Public Health University of Nebraska Medical Center 984375 Nebraska Medical Center, Omaha, NE 68198-4375 Phone: (402) 836-9380 Email: [email protected] Education BS Computational Mathematics, Fundan University, China 1985 MS Computational Mathematics, Fundan University, China 1988 MS Applied Mathematics, Florida State University 1994 PhD Statistics, University of Washington 1998 Academic Appointments 07/2019 – current Professor & Chair, Department of Biostatistics, University of Nebraska Medical Center 08/2020 – current Professor & Acting Chair, Department of Epidemiology, University of Nebraska Medical Center 01/2014 – 06/2019 Professor & Director of Graduate Education, Department of Biostatistics, Indiana University 07/2010 - 06/2014 Professor, Department of Biostatistics, Program of Health Informatics and Program of Applied Mathematics, The University of Iowa 07/2004 – 06/2010 Associate Professor, Department of Biostatistics, The University of Iowa College of Public Health 08/1998 – 06/2004 Assistant Professor, Department of Statistics and Actuarial Science, University of Central Florida 06/1997 – 09/1997 Applied Statistician, Applied Statistics Group, The Boeing Company 09/1988 – 07/1991 Lecturer, Department of Mathematics, Fudan University, China Honors and Awards 2018 Elected Fellow of the American Statistical Association (ASA) 2008 “Quality of Life Award” by the Oncology Nursing Society Press for the paper “Transition from Treatment to Survivorship: Effects of a Psychoeducational Intervention on Quality of Life in 1 Breast Cancer Survivors” 2008 “Faculty Teaching Award” by the College of Public Health, University of Iowa 1997 “Z.W. Birnbaum award for excellence in dissertation proposal”; awarded by the Department of Statistics, University of Washington, 10/1997. -
Visualizing Research Collaboration in Statistical Science: a Scientometric
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Library Philosophy and Practice (e-journal) Libraries at University of Nebraska-Lincoln 9-13-2019 Visualizing Research Collaboration in Statistical Science: A Scientometric Perspective Prabir Kumar Das Library, Documentation & Information Science Division, Indian Statistical Institute, 203 B T Road, Kolkata - 700108, [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/libphilprac Part of the Library and Information Science Commons Das, Prabir Kumar, "Visualizing Research Collaboration in Statistical Science: A Scientometric Perspective" (2019). Library Philosophy and Practice (e-journal). 3039. https://digitalcommons.unl.edu/libphilprac/3039 Viisualliiziing Research Collllaborattiion iin Sttattiisttiicall Sciience:: A Sciienttomettriic Perspecttiive Prrabiirr Kumarr Das Sciienttiiffiic Assssiissttantt – A Liibrrarry,, Documenttattiion & IInfforrmattiion Sciience Diiviisiion,, IIndiian Sttattiisttiicall IInsttiittutte,, 203,, B.. T.. Road,, Kollkatta – 700108,, IIndiia,, Emaiill:: [email protected] Abstract Using Sankhyā – The Indian Journal of Statistics as a case, present study aims to identify scholarly collaboration pattern of statistical science based on research articles appeared during 2008 to 2017. This is an attempt to visualize and quantify statistical science research collaboration in multiple dimensions by exploring the co-authorship data. It investigates chronological variations of collaboration pattern, nodes and links established among the affiliated institutions and countries of all contributing authors. The study also examines the impact of research collaboration on citation scores. Findings reveal steady influx of statistical publications with clear tendency towards collaborative ventures, of which double-authored publications dominate. Small team of 2 to 3 authors is responsible for production of majority of collaborative research, whereas mega-authored communications are quite low. -
Abbreviations of Names of Serials
Abbreviations of Names of Serials This list gives the form of references used in Mathematical Reviews (MR). ∗ not previously listed E available electronically The abbreviation is followed by the complete title, the place of publication § journal reviewed cover-to-cover V videocassette series and other pertinent information. † monographic series ¶ bibliographic journal E 4OR 4OR. Quarterly Journal of the Belgian, French and Italian Operations Research ISSN 1211-4774. Societies. Springer, Berlin. ISSN 1619-4500. §Acta Math. Sci. Ser. A Chin. Ed. Acta Mathematica Scientia. Series A. Shuxue Wuli † 19o Col´oq. Bras. Mat. 19o Col´oquio Brasileiro de Matem´atica. [19th Brazilian Xuebao. Chinese Edition. Kexue Chubanshe (Science Press), Beijing. (See also Acta Mathematics Colloquium] Inst. Mat. Pura Apl. (IMPA), Rio de Janeiro. Math.Sci.Ser.BEngl.Ed.) ISSN 1003-3998. † 24o Col´oq. Bras. Mat. 24o Col´oquio Brasileiro de Matem´atica. [24th Brazilian §ActaMath.Sci.Ser.BEngl.Ed. Acta Mathematica Scientia. Series B. English Edition. Mathematics Colloquium] Inst. Mat. Pura Apl. (IMPA), Rio de Janeiro. Science Press, Beijing. (See also Acta Math. Sci. Ser. A Chin. Ed.) ISSN 0252- † 25o Col´oq. Bras. Mat. 25o Col´oquio Brasileiro de Matem´atica. [25th Brazilian 9602. Mathematics Colloquium] Inst. Nac. Mat. Pura Apl. (IMPA), Rio de Janeiro. § E Acta Math. Sin. (Engl. Ser.) Acta Mathematica Sinica (English Series). Springer, † Aastaraam. Eesti Mat. Selts Aastaraamat. Eesti Matemaatika Selts. [Annual. Estonian Heidelberg. ISSN 1439-8516. Mathematical Society] Eesti Mat. Selts, Tartu. ISSN 1406-4316. § E Acta Math. Sinica (Chin. Ser.) Acta Mathematica Sinica. Chinese Series. Chinese Math. Abh. Braunschw. Wiss. Ges. Abhandlungen der Braunschweigischen Wissenschaftlichen Soc., Acta Math.