Rank Full Journal Title Journal Impact Factor 1 Journal of Statistical

Total Page:16

File Type:pdf, Size:1020Kb

Rank Full Journal Title Journal Impact Factor 1 Journal of Statistical Journal Data Filtered By: Selected JCR Year: 2019 Selected Editions: SCIE Selected Categories: 'STATISTICS & PROBABILITY' Selected Category Scheme: WoS Rank Full Journal Title Journal Impact Eigenfactor Total Cites Factor Score Journal of Statistical Software 1 25,372 13.642 0.053040 Annual Review of Statistics and Its Application 2 515 5.095 0.004250 ECONOMETRICA 3 35,846 3.992 0.040750 JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION 4 36,843 3.989 0.032370 JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY 5 25,492 3.965 0.018040 STATISTICAL SCIENCE 6 6,545 3.583 0.007500 R Journal 7 1,811 3.312 0.007320 FUZZY SETS AND SYSTEMS 8 17,605 3.305 0.008740 BIOSTATISTICS 9 4,048 3.098 0.006780 STATISTICS AND COMPUTING 10 4,519 3.035 0.011050 IEEE-ACM Transactions on Computational Biology and Bioinformatics 11 3,542 3.015 0.006930 JOURNAL OF BUSINESS & ECONOMIC STATISTICS 12 5,921 2.935 0.008680 CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 13 9,421 2.895 0.007790 MULTIVARIATE BEHAVIORAL RESEARCH 14 7,112 2.750 0.007880 INTERNATIONAL STATISTICAL REVIEW 15 1,807 2.740 0.002560 Bayesian Analysis 16 2,000 2.696 0.006600 ANNALS OF STATISTICS 17 21,466 2.650 0.027080 PROBABILISTIC ENGINEERING MECHANICS 18 2,689 2.411 0.002430 BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY 19 1,965 2.388 0.003480 ANNALS OF PROBABILITY 20 5,892 2.377 0.017230 STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT 21 4,272 2.351 0.006810 JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS 22 4,369 2.319 0.008900 STATISTICAL METHODS IN MEDICAL RESEARCH 23 4,647 2.291 0.011850 Quality Technology and Quantitative Management 24 538 2.231 0.000830 JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY 25 3,234 2.210 0.005010 Econometrics Journal 26 966 2.139 0.002350 PROBABILITY THEORY AND RELATED FIELDS 27 3,673 2.125 0.013710 TECHNOMETRICS 28 8,759 2.091 0.003590 FINANCE AND STOCHASTICS 29 1,235 2.048 0.003520 JOURNAL OF QUALITY TECHNOLOGY 30 2,648 2.019 0.001440 Stata Journal 31 4,673 1.990 0.005930 OPEN SYSTEMS & INFORMATION DYNAMICS 32 377 1.960 0.000870 AMERICAN STATISTICIAN 33 6,644 1.830 0.005560 STATISTICS IN MEDICINE 34 26,353 1.783 0.029260 BIOMETRICS 35 21,788 1.711 0.011730 Scandinavian Actuarial Journal 36 797 1.705 0.002080 Annals of Applied Statistics 37 3,321 1.675 0.011130 Spatial Statistics 38 661 1.656 0.003360 JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS 39 1,111 1.650 0.001490 JOURNAL OF CHEMOMETRICS 40 3,563 1.633 0.002440 BIOMETRIKA 41 21,597 1.632 0.012270 Advances in Data Analysis and Classification 42 499 1.603 0.002040 JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS 43 4,269 1.590 0.003500 ANNALS OF APPLIED PROBABILITY 44 3,379 1.537 0.011330 BERNOULLI 45 2,511 1.496 0.010660 STATISTICAL PAPERS 46 1,221 1.433 0.002590 STATISTICAL MODELLING 47 675 1.419 0.002180 BIOMETRICAL JOURNAL 48 3,131 1.416 0.003880 STOCHASTIC PROCESSES AND THEIR APPLICATIONS 49 5,273 1.414 0.012180 Statistical Analysis and Data Mining 50 478 1.396 0.001150 Stochastics and Partial Differential Equations-Analysis and Computations 51 266 1.390 0.002040 PHARMACEUTICAL STATISTICS 52 1,189 1.374 0.002610 INSURANCE MATHEMATICS & ECONOMICS 53 3,551 1.359 0.004710 Quality Engineering 54 935 1.320 0.000940 ANNALES DE L INSTITUT HENRI POINCARE-PROBABILITES ET STATISTIQUES 55 1,509 1.254 0.007840 Astin Bulletin 56 935 1.236 0.001340 Random Matrices-Theory and Applications 57 201 1.206 0.001360 TEST 58 898 1.205 0.002910 COMPUTATIONAL STATISTICS & DATA ANALYSIS 59 8,704 1.186 0.015400 APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY 60 921 1.175 0.002170 ECONOMETRIC THEORY 61 2,494 1.170 0.003860 Extremes 62 556 1.136 0.001890 JOURNAL OF MULTIVARIATE ANALYSIS 62 4,837 1.136 0.009820 ELECTRONIC JOURNAL OF PROBABILITY 64 1,719 1.123 0.009500 JOURNAL OF COMPUTATIONAL BIOLOGY 65 4,794 1.054 0.003210 ENVIRONMETRICS 66 1,843 1.039 0.002210 STOCHASTIC ANALYSIS AND APPLICATIONS 67 985 1.035 0.001730 JOURNAL OF APPLIED STATISTICS 68 2,880 1.031 0.004450 STATISTICA NEERLANDICA 69 712 1.023 0.000860 ENVIRONMENTAL AND ECOLOGICAL STATISTICS 70 805 0.981 0.000940 AStA-Advances in Statistical Analysis 71 329 0.980 0.000870 STATISTICA SINICA 72 3,197 0.968 0.008230 Econometric Reviews 73 1,469 0.933 0.002620 SCANDINAVIAN JOURNAL OF STATISTICS 74 3,513 0.924 0.004300 JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 75 2,738 0.918 0.005990 OXFORD BULLETIN OF ECONOMICS AND STATISTICS 75 3,285 0.918 0.002520 COMBINATORICS PROBABILITY & COMPUTING 77 1,056 0.879 0.003620 Electronic Journal of Statistics 78 1,714 0.855 0.009890 Journal of Official Statistics 79 1,038 0.847 0.001310 JOURNAL OF TIME SERIES ANALYSIS 80 1,720 0.817 0.002500 METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY 81 664 0.809 0.001840 LIFETIME DATA ANALYSIS 82 915 0.794 0.001650 PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES 82 511 0.794 0.000840 SORT-Statistics and Operations Research Transactions 84 161 0.778 0.000430 Statistical Applications in Genetics and Molecular Biology 84 1,334 0.778 0.000790 Stat 86 234 0.766 0.001280 Stochastics-An International Journal of Probability and Stochastic Processes 87 690 0.761 0.002080 ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS 88 1,872 0.758 0.002000 COMPUTATIONAL STATISTICS 89 1,179 0.744 0.002390 Stochastics and Dynamics 90 516 0.742 0.001280 ADVANCES IN APPLIED PROBABILITY 91 1,987 0.730 0.002840 Statistics in Biopharmaceutical Research 92 310 0.709 0.001040 JOURNAL OF THEORETICAL PROBABILITY 93 922 0.682 0.003020 STATISTICS & PROBABILITY LETTERS 94 4,494 0.680 0.009030 Hacettepe Journal of Mathematics and Statistics 95 784 0.679 0.001050 JOURNAL OF STATISTICAL PLANNING AND INFERENCE 95 4,377 0.679 0.005020 METRIKA 95 830 0.679 0.001440 Survey Methodology 95 751 0.679 0.000440 International Journal of Biostatistics 99 546 0.676 0.001010 LAW PROBABILITY & RISK 99 200 0.676 0.000240 REVSTAT-Statistical Journal 101 246 0.667 0.000410 CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE 102 1,092 0.656 0.001560 COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION 103 2,408 0.651 0.004410 STATISTICS 104 778 0.645 0.002430 Brazilian Journal of Probability and Statistics 105 244 0.632 0.001040 ALEA-Latin American Journal of Probability and Mathematical Statistics 106 323 0.624 0.002120 Probability and Mathematical Statistics-Poland 107 255 0.617 0.000620 Statistical Methods and Applications 108 407 0.614 0.001190 COMMUNICATIONS IN STATISTICS-THEORY AND METHODS 109 4,648 0.612 0.007030 JOURNAL OF NONPARAMETRIC STATISTICS 110 784 0.607 0.001510 ELECTRONIC COMMUNICATIONS IN PROBABILITY 111 785 0.606 0.004210 Journal of Biopharmaceutical Statistics 112 1,198 0.601 0.002200 STOCHASTIC MODELS 113 438 0.596 0.000670 Mathematical Population Studies 114 185 0.586 0.000160 JOURNAL OF APPLIED PROBABILITY 115 3,070 0.577 0.003310 Sequential Analysis-Design Methods and Applications 116 373 0.567 0.000440 INTERNATIONAL JOURNAL OF GAME THEORY 117 1,327 0.565 0.001810 INFINITE DIMENSIONAL ANALYSIS QUANTUM PROBABILITY AND RELATED TOPICS 118 896 0.556 0.000820 Journal of the Korean Statistical Society 118 344 0.556 0.000990 AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS 120 624 0.542 0.000870 ESAIM-Probability and Statistics 121 368 0.515 0.001230 THEORY OF PROBABILITY AND ITS APPLICATIONS 122 1,591 0.485 0.000840 Markov Processes and Related Fields 123 295 0.404 0.000710 UTILITAS MATHEMATICA 124 586 0.288 0.000770 Copyright © 2020 Clarivate Analytics By exporting the selected data, you agree to the data usage policy set forth in the Terms of Use.
Recommended publications
  • 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,
    [Show full text]
  • Publishing and Promotion in Economics: the Curse of the Top Five
    Publishing and Promotion in Economics: The Curse of the Top Five James J. Heckman 2017 AEA Annual Meeting Chicago, IL January 7th, 2017 Heckman Curse of the Top Five Top 5 Influential, But Far From Sole Source of Influence or Outlet for Creativity Heckman Curse of the Top Five Table 1: Ranking of 2, 5 and 10 Year Impact Factors as of 2015 Rank 2 Years 5 Years 10 Years 1. JEL JEL JEL 2. QJE QJE QJE 3. JOF JOF JOF 4. JEP JEP JPE 5. ReStud JPE JEP 6. ECMA AEJae ECMA 7. AEJae ECMA AER 8. AER AER ReStud 9. JPE ReStud JOLE 10. JOLE AEJma EJ 11. AEJep AEJep JHR 12. AEJma EJ JOE 13. JME JOLE JME 14. EJ JHR HE 15. HE JME RED 16. JHR HE EER 17. JOE JOE - 18. AEJmi AEJmi - 19. RED RED - 20. EER EER - Note: Definition of abbreviated names: JEL - Journal of Economic Literature, JOF - Journal of Finance, JEP - Journal of Economic Perspectives, AEJae-American Economic Journal Applied Economics, AER - American Economic Review, JOLE-Journal of Labor Economics, AEJep-American Economic Journal Economic Policy, AEJma-American Economic Journal Macroeconomics, JME-Journal of Monetary Economics, EJ-Economic Journal, HE-Health Economics, JHR-Journal of Human Resources, JOE-Journal of Econometrics, AEJmi-American Economic Journal Microeconomics, RED-Review of Economic Dynamics, EER-European Economic Review; Source: Journal Citation Reports (Thomson Reuters, 2016). Heckman Curse of the Top Five Figure 1: Articles Published in Last 10 years by RePEc's T10 Authors (Last 10 Years Ranking) (a) T10 Authors (Unadjusted) (b) T10 Authors (Adjusted) Prop.
    [Show full text]
  • Brendan K. Beare
    Brendan K. Beare Department of Economics University of California – San Diego 9500 Gilman Drive #0508 La Jolla, California 92093, U.S.A. Email: [email protected] : http://econweb.ucsd.edu/ bbeare/ ∼ Born: January 23, 1980 Citizenship: Australia & United States Current position 2015– Associate Professor, University of California – San Diego Prior appointments held 2008–2015 Assistant Professor, University of California – San Diego 2007–2008 Research Fellow, Nuffield College and University of Oxford Education 2007 PD in Economics, Yale University 2006 MA in Statistics, Yale University 2005 MP in Economics, Yale University 2004 MA in Economics, Yale University 2002 BE(H) in Econometrics, University of New South Wales Honors & awards 2011–2016 Sir Clive W. J. Granger Chair, University of California – San Diego 2008 George Trimis Prize for Distinguished Dissertation in Economics, Yale University 2007 MA by Resolution, University of Oxford 2007 Dissertation Fellowship, Yale University 2006 Carl Arvid Anderson Prize, Cowles Foundation for Research in Economics 2006 Cowles Summer Prize, Cowles Foundation for Research in Economics 2002–2006 Cowles Prize, Cowles Foundation for Research in Economics 2002–2006 University Fellowship, Yale University 2002 Economic Society of Australia Honours Prize 1 Publications 2019 Beare, Brendan K. and Shi, Xiaoxia. An improved bootstrap test of density ratio ordering. Econometrics and Statistics, 10: 9-26. 2019 Seo, Won-Ki and Beare, Brendan K. Cointegrated linear processes in Bayes Hilbert space. Statistics and Probability Letters, 147: 90-95. 2018 Beare, Brendan K. Unit root testing with unstable volatility. Journal of Time Series Analysis, 39(6): 816-835. 2018 Beare, Brendan K. and Dossani, Asad. Option augmented density forecasts of market returns with monotone pricing kernel.
    [Show full text]
  • 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.
    [Show full text]
  • Alberto Abadie
    ALBERTO ABADIE Office Address Massachusetts Institute of Technology Department of Economics 50 Memorial Drive Building E52, Room 546 Cambridge, MA 02142 E-mail: [email protected] Academic Positions Massachusetts Institute of Technology Cambridge, MA Professor of Economics, 2016-present IDSS Associate Director, 2016-present Harvard University Cambridge, MA Professor of Public Policy, 2005-2016 Visiting Professor of Economics, 2013-2014 Associate Professor of Public Policy, 2004-2005 Assistant Professor of Public Policy, 1999-2004 University of Chicago Chicago, IL Visiting Assistant Professor of Economics, 2002-2003 National Bureau of Economic Research (NBER) Cambridge, MA Research Associate (Labor Studies), 2009-present Faculty Research Fellow (Labor Studies), 2002-2009 Non-Academic Positions Amazon.com, Inc. Seattle, WA Academic Research Consultant, 2020-present Education Massachusetts Institute of Technology Cambridge, MA Ph.D. in Economics, 1995-1999 Thesis title: \Semiparametric Instrumental Variable Methods for Causal Response Mod- els." Centro de Estudios Monetarios y Financieros (CEMFI) Madrid, Spain M.A. in Economics, 1993-1995 Masters Thesis title: \Changes in Spanish Labor Income Structure during the 1980's: A Quantile Regression Approach." 1 Universidad del Pa´ıs Vasco Bilbao, Spain B.A. in Economics, 1987-1992 Specialization Areas: Mathematical Economics and Econometrics. Honors and Awards Elected Fellow of the Econometric Society, 2016. NSF grant SES-1756692, \A General Synthetic Control Framework of Estimation and Inference," 2018-2021. NSF grant SES-0961707, \A General Theory of Matching Estimation," with G. Imbens, 2010-2012. NSF grant SES-0617810, \The Economic Impact of Terrorism: Lessons from the Real Estate Office Markets of New York and Chicago," with S. Dermisi, 2006-2008.
    [Show full text]
  • Curriculum Vitae: Michael W. Trosset
    Curriculum Vitae: Michael W. Trosset Department of Statistics Telephone: (812) 856-1178 Indiana University E-mail: [email protected] Bloomington, IN 47401 Web Page: http://www.math.wm.edu/∼trosset/ Education • University of California, Berkeley (Department of Statistics); Fannie & John Hertz Foundation Fellow, September 1978 to December 1981; Dissertation: Minimax Estimation With Side Conditions, directed by Peter J. Bickel; Ph.D., December 1983. • Rice University (Mathematics and Mathematical Sciences); B.A., summa cum laude, May 1978. Employment • Professor, Department of Statistics, Indiana University. August 2006 to present. • Director, Indiana Statistical Consulting Center. August 2006 to present. • Associate Professor, Department of Mathematics, College of William & Mary. August 1998 to June 2006. Promoted to Professor in April 2006. • Formerly Visiting Associate Professor and Adjunct Lecturer, Departments of Mathematics, Statistics, and Psychology, University of Arizona (August 1993 to July 1998); Senior Postdoctoral Fellow, W.M. Keck Center for Computational Biology and Visiting Lecturer, Department of Statistics, Rice Uni- versity (September 1996 to June 1997); Visiting Lecturer, Department of Computational & Applied Mathematics, Rice University (Spring 1993); Consultant (June 1988 to July 1998); Assistant Pro- fessor, Department of Statistics, University of Arizona (August 1984 to December 1988); Instructor, Department of Mathematical Sciences, Rice University (January 1982 to May 1984); Research Assis- tant, Division of
    [Show full text]
  • Econometric Theory
    Econometric Theory John Stachurski January 10, 2014 Contents Preface v I Background Material1 1 Probability2 1.1 Probability Models.............................2 1.2 Distributions................................. 16 1.3 Dependence................................. 25 1.4 Asymptotics................................. 30 1.5 Exercises................................... 39 2 Linear Algebra 49 2.1 Vectors and Matrices............................ 49 2.2 Span, Dimension and Independence................... 59 2.3 Matrices and Equations........................... 66 2.4 Random Vectors and Matrices....................... 71 2.5 Convergence of Random Matrices.................... 74 2.6 Exercises................................... 79 i CONTENTS ii 3 Projections 84 3.1 Orthogonality and Projection....................... 84 3.2 Overdetermined Systems of Equations.................. 90 3.3 Conditioning................................. 93 3.4 Exercises................................... 103 II Foundations of Statistics 107 4 Statistical Learning 108 4.1 Inductive Learning............................. 108 4.2 Statistics................................... 112 4.3 Maximum Likelihood............................ 120 4.4 Parametric vs Nonparametric Estimation................ 125 4.5 Empirical Distributions........................... 134 4.6 Empirical Risk Minimization....................... 137 4.7 Exercises................................... 149 5 Methods of Inference 153 5.1 Making Inference about Theory...................... 153 5.2 Confidence Sets..............................
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • Biostatistics Student Paper Competition the Department of Biostatistics at BUSPH Is Soliciting Applications for the 2013 Student Paper Competition
    Biostatistics Student Paper Competition The Department of Biostatistics at BUSPH is soliciting applications for the 2013 student paper competition. The competition is open to all students enrolled in the Biostatistics Program at Boston University in the spring term of 2013. The winner of the competition will receive $750 as a travel award to attend the summer Joint Statistical Meetings. Travel to other conferences (i.e. ENAR, Society for Clinical Trials, American Society of Human Genetics, International Genetic Epidemiology Society) is possible in negotiation with the award committee. All students are strongly encouraged to submit the abstracts from their papers to the Joint Statistical Meetings, which has a deadline of February 4th. Students would also be encouraged to consider entering the competitions sponsored by sections of the Joint Statistical Meetings (e.g. The Biometrics section Byar Young Investigator award, for details see http://www.bio.ri.ccf.org/Biometrics/winner.html). TIMETABLE: January 11th, 2013 at noon: Deadline for students to submit pdf of manuscript January 25th, 2013: Announcement of awards REQUIREMENTS: The paper should be prepared double spaced, in manuscript format, using guidelines for authors typical of a biostatistical journal (e.g. Biometrics, Statistics in Medicine, or Biostatistics). A pdf copy of the manuscript should be submitted to the chair of the award committee, Ching-Ti Liu ([email protected]). The reported work should be relevant to biostatistics and must be the work of the student, although the manuscript can be co-authored with a faculty advisor or a small number of collaborators. The student must be the first author of the manuscript.
    [Show full text]
  • Biometrical Applications in Biological Sciences-A Review on the Agony for Their Practical Efficiency- Problems and Perspectives
    Biometrics & Biostatistics International Journal Review Article Open Access Biometrical applications in biological sciences-A review on the agony for their practical efficiency- Problems and perspectives Abstract Volume 7 Issue 5 - 2018 The effect of the three biological sciences- agriculture, environment and medicine S Tzortzios in the people’s life is of the greatest importance. The chain of the influence of the University of Thessaly, Greece environment to the form and quality of the agricultural production and the effect of both of them to the people’s health and welfare consists in an integrated system Correspondence: S Tzortzios, University of Thessaly, Greece, that is the basic substance of the human life. Agriculture has a great importance in Email [email protected] the World’s economy; however, the available resources for research and technology development are limited. Moreover, the environmental and productive conditions are Received: August 12, 2018 | Published: October 05, 2018 very different from one country to another, restricting the generalized transferring of technology. The statistical methods should play a paramount role to insure both the objectivity of the results of agricultural research as well as the optimum usage of the limited resources. An inadequate or improper use of statistical methods may result in wrong conclusions and in misuse of the available resources with important scientific and economic consequences. Many times, Statistics is used as a basis to justify conclusions of research work without considering in advance the suitability of the statistical methods to be used. The obvious question is: What importance do biological researchers give to the statistical methods? The answer is out of any doubt and the fact that most of the results published in specialized journals includes statistical considerations, confirms its importance.
    [Show full text]
  • 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.
    [Show full text]