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* RSS 2019 Annual ConferenceRSS 2019 Annual Conference


The RSS International Conference has established itself as the only conference in the UK for anyone interested in statistics and data science. Every year, over 600 statisticians and data scientists gather from all sectors and from over 30 countries to share information and network, attracted by a varied programme of talks and workshops. The 2019 conference will, once again, be organised by ‘streams’ allowing in-depth focus on specialised topics as well as broader presentations on new developments and thinking in statistics. For the first time the conference programme will feature a Data Ethics Day, kindly supported by the Ada Lovelace Institute. Abstract submissions for contributed talks and posters are now closed. Registration is open with an 10% discount available until 31 July.

* Simulation and Statistics WSSimulation and Statistics WS



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* RSS 2019 Annual ConferenceRSS 2019 Annual Conference


The RSS International Conference has established itself as the only conference in the UK for anyone interested in statistics and data science. Every year, over 600 statisticians and data scientists gather from all sectors and from over 30 countries to share information and network, attracted by a varied programme of talks and workshops. The 2019 conference will, once again, be organised by ‘streams’ allowing in-depth focus on specialised topics as well as broader presentations on new developments and thinking in statistics. For the first time the conference programme will feature a Data Ethics Day, kindly supported by the Ada Lovelace Institute. Abstract submissions for contributed talks and posters are now closed. Registration is open with an 10% discount available until 31 July.

* XXXVII Annual Scientific MtgXXXVII Annual Scientific Mtg


The XXXVII Annual Scientific Meeting of the Spanish Society of Epidemiology (SEE), XIV Congresso da Associaçao Portuguesa de Epidemiologia (APE) and XVIII Congress of the Spanish Society of Public Health and Health Administration ( SESPAS) will be held from September 3 to 6 2019 in Oviedo (Spain).

* Simulation and Statistics WSSimulation and Statistics WS



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* RSS 2019 Annual ConferenceRSS 2019 Annual Conference


The RSS International Conference has established itself as the only conference in the UK for anyone interested in statistics and data science. Every year, over 600 statisticians and data scientists gather from all sectors and from over 30 countries to share information and network, attracted by a varied programme of talks and workshops. The 2019 conference will, once again, be organised by ‘streams’ allowing in-depth focus on specialised topics as well as broader presentations on new developments and thinking in statistics. For the first time the conference programme will feature a Data Ethics Day, kindly supported by the Ada Lovelace Institute. Abstract submissions for contributed talks and posters are now closed. Registration is open with an 10% discount available until 31 July.

* XXXVII Annual Scientific MtgXXXVII Annual Scientific Mtg


The XXXVII Annual Scientific Meeting of the Spanish Society of Epidemiology (SEE), XIV Congresso da Associaçao Portuguesa de Epidemiologia (APE) and XVIII Congress of the Spanish Society of Public Health and Health Administration ( SESPAS) will be held from September 3 to 6 2019 in Oviedo (Spain).

* Simulation and Statistics WSSimulation and Statistics WS



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* RSS 2019 Annual ConferenceRSS 2019 Annual Conference


The RSS International Conference has established itself as the only conference in the UK for anyone interested in statistics and data science. Every year, over 600 statisticians and data scientists gather from all sectors and from over 30 countries to share information and network, attracted by a varied programme of talks and workshops. The 2019 conference will, once again, be organised by ‘streams’ allowing in-depth focus on specialised topics as well as broader presentations on new developments and thinking in statistics. For the first time the conference programme will feature a Data Ethics Day, kindly supported by the Ada Lovelace Institute. Abstract submissions for contributed talks and posters are now closed. Registration is open with an 10% discount available until 31 July.

* XXXVII Annual Scientific MtgXXXVII Annual Scientific Mtg


The XXXVII Annual Scientific Meeting of the Spanish Society of Epidemiology (SEE), XIV Congresso da Associaçao Portuguesa de Epidemiologia (APE) and XVIII Congress of the Spanish Society of Public Health and Health Administration ( SESPAS) will be held from September 3 to 6 2019 in Oviedo (Spain).

* Simulation and Statistics WSSimulation and Statistics WS



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* XXXVII Annual Scientific MtgXXXVII Annual Scientific Mtg


The XXXVII Annual Scientific Meeting of the Spanish Society of Epidemiology (SEE), XIV Congresso da Associaçao Portuguesa de Epidemiologia (APE) and XVIII Congress of the Spanish Society of Public Health and Health Administration ( SESPAS) will be held from September 3 to 6 2019 in Oviedo (Spain).

* Simulation and Statistics WSSimulation and Statistics WS



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* SUSAN & SSACAB | ConferenceSUSAN & SSACAB | Conference


The Joint Conference of the Sub-Saharan Network (SUSAN) of the International Biometrics Society (IBS) and DELTAS Africa Sub-Saharan Africa Consortium for Advanced Biostatistics (SSACAB). The conference program will cover a wide range of classical and Bayesian statistical theory and methods, their application to public health, epidemiology, environment, biology, fisheries, official health statistics and stakeholder engagements.

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* 31st IBS-ROeS Conference 31st IBS-ROeS Conference


From Controlled Trials to Big Data and Back

* SUSAN & SSACAB | ConferenceSUSAN & SSACAB | Conference


The Joint Conference of the Sub-Saharan Network (SUSAN) of the International Biometrics Society (IBS) and DELTAS Africa Sub-Saharan Africa Consortium for Advanced Biostatistics (SSACAB). The conference program will cover a wide range of classical and Bayesian statistical theory and methods, their application to public health, epidemiology, environment, biology, fisheries, official health statistics and stakeholder engagements.

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* 31st IBS-ROeS Conference 31st IBS-ROeS Conference


From Controlled Trials to Big Data and Back

* SUSAN & SSACAB | ConferenceSUSAN & SSACAB | Conference


The Joint Conference of the Sub-Saharan Network (SUSAN) of the International Biometrics Society (IBS) and DELTAS Africa Sub-Saharan Africa Consortium for Advanced Biostatistics (SSACAB). The conference program will cover a wide range of classical and Bayesian statistical theory and methods, their application to public health, epidemiology, environment, biology, fisheries, official health statistics and stakeholder engagements.

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* AAAS - Science WebinarAAAS - Science Webinar


Overview RNA-guided CRISPR-Cas nucleases are a transformative genome-editing tool due to the simplicity with which they can be programmed to target new sites. Genome editing has the potential to fulfill medicine’s long-held aspiration to directly address the genetic causes of human diseases. An important step in translating these powerful technologies into safe, effective genomic medicines is understanding their activity and their recognition of on- and off-target sites throughout the genome. In recent years, a number of cellular and biochemical approaches have been developed to characterize the genome-wide activity of CRISPR-Cas genome editors. However, the basic principles governing their specificity remain undefined because current approaches cannot analyze the large numbers of targets required to understand these principles. In this webinar, we review considerations for evaluating the safety of genome editors for therapeutics as well as existing methods for defining the specificity of genome editors, and describe a novel method called Circularization for High-throughput Analysis of Nuclease Genome-wide Effects by sequencing, or CHANGE-seq. Using CHANGE-seq, we can define both genetic and epigenetic factors that affect genome-wide activity in therapeutically relevant human primary T cells.

* 31st IBS-ROeS Conference 31st IBS-ROeS Conference


From Controlled Trials to Big Data and Back

* SUSAN & SSACAB | ConferenceSUSAN & SSACAB | Conference


The Joint Conference of the Sub-Saharan Network (SUSAN) of the International Biometrics Society (IBS) and DELTAS Africa Sub-Saharan Africa Consortium for Advanced Biostatistics (SSACAB). The conference program will cover a wide range of classical and Bayesian statistical theory and methods, their application to public health, epidemiology, environment, biology, fisheries, official health statistics and stakeholder engagements.

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* 31st IBS-ROeS Conference 31st IBS-ROeS Conference


From Controlled Trials to Big Data and Back

* Census Advisory CommitteesCensus Advisory Committees

Time: 2019-10-16T08:30:00+00:000000000031201910


If you plan to attend the 2019 CSAC Fall Meeting, please register by Monday, September 2, 2019. You may access the online registration from the following link: csacfallmeeting2019.eventbrite.com. Watch the meeting live on the Census Bureau YouTube Channel: www.census.gov/newsroom/census-live.html

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* Census Advisory CommitteesCensus Advisory Committees

Time: 2019-10-16T08:30:00+00:000000000031201910


Registration If you plan to attend the 2019 CSAC Fall Meeting, please register by Monday, September 2, 2019. You may access the online registration from the following link: csacfallmeeting2019.eventbrite.com

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* ACEMS Public LectureACEMS Public Lecture


About this Event: Understanding the process of evolution within species is a fundamental topic in biology, but also in mathematics. By studying and utilising the random nature of how gene frequencies change over time, mathematics has made significant contributions to our understanding of within species evolution. Moreover, these studies have motivated deep results in mathematics itself, for example, in quantifying properties of random permutations. This talk will give a non-technical overview of the two-way interaction between mathematics and population genetics. This talk is targeted at a general audience, including high school students. No mathematical knowledge is required. Refreshments will be provided 30 minutes before the presentation. About the Speaker: Professor Robert Griffiths is currently Emeritus Professor at Oxford University and Adjunct Professor at Monash University. He is a Fellow of the Royal Society of London, and has made significant contributions to mathematical population genetics, including in diffusion processes and ancestral inference.

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* R-Ladies Cape Town | #TidyTuesR-Ladies Cape Town | #TidyTues


Details We are very excited to announce a new event format by R-Ladies Cape Town: #tidytuesday. The #tidytuesday initiative was created by R for Data Science (#R4DS) - they release a data set every Tuesday with the challenge to create a unique visualisation based on the data set. We will be doing just that! Bring along your laptop - we will be downloading the #tidytuesday data set released that day (or you could use a previous one if you like) and using it to practice our visualisation skills. We will provide a short script to get you started. You are welcome to work on your own or collaborate, and bring your own data and questions along if you'd like. If you can, please bring something to drink and/or some snacks to share! From R4DS: "Join the R4DS online learning community in the weekly #TidyTuesday event! Every week we post a raw dataset, a chart or article related to that dataset, and ask you to explore the data. While the dataset will be “tamed”, it will not always be tidy! As such you might need to apply various R for Data Science techniques to wrangle the data into a true tidy format. The goal of TidyTuesday is to apply your R skills, get feedback, explore other’s work, and connect with the greater #RStats community! As such we encourage everyone of all skills to participate!” We encourage a mix of regular useRs and total beginners to encourage a collaborative co-learning space. Follow #tidytuesday on Twitter for some examples of visualisations created in the past. If you feel up to it, we encourage posting your own visualisation :)

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* R-Ladies Philly | R MarkdownR-Ladies Philly | R Markdown


Details R Markdown is one of the industry standards for presenting and sharing reproducible research. In this talk, Ramaa will be presenting some of her independent research done in R Markdown on Survival Analysis of Breast Cancer Data using the public dataset made available by The Cancer Genome Atlas (TCGA) Program. Ramaa Nathan is a data enthusiast with several years of experience in data analytics, software development, and project management in the finance and healthcare industries. She is now a statistician and data scientist exploring opportunities in the healthcare industry.

* Ri - Diversity ChallengeRi - Diversity Challenge


Where are all the Black and brown scientists? Women engineers? LGBTQ+ mathematicians? Disabled nanotechnologists? Asian or minority ethnic physicists? The current state of diversity in science is poor at best. Discoveries and stories of underrepresented scientists are often erased from the history books, when we know they play significant roles in the advancement of science. Diversity Challenge, inspired by the popular quiz show ​‘University Challenge’, will pit two teams of diverse renowned scientists from around the UK to see who knows more about underrepresented scientists. Join the amazing ​Suze Kundu​ in hosting an unmissable evening of short talks and enlightening questions.Here’s your first starter for 10 (no conferring)... This event is sponsored by the Wellcome Collection and London Centre for Nanotechnology (LCN). Please note that this event starts earlier than normal at 6.30pm.

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* R-Ladies East Lansing| Meet UpR-Ladies East Lansing| Meet Up


Introduction to R/RStudio Details WHO is this for? - If you are new to R & are short-budgeted on time! - If you'd like to start working with data in R w/o learning all the programming details first!! - If you have a neat data set you'd like to explore w/ basic statistics! - If you are getting started with base R and want to learn more! * If any of this is true, this workshop might be for you!

* DNA Testing Kits and MeDNA Testing Kits and Me


The use of home DNA testing kits is increasing. You can purchase cheaper accommodation based on your ancestry results and generate a 'unique diet plan' based on your genetics. Criminals from cases over thirty years ago are being caught because of a family member's profile. How did something only really seen on CSI become part of our daily lives? Should corporate companies really be using our biology for discounts? What do the DNA results actually show? Join a panel of experts, chaired by Sara Abdulla, as they explore how these kits work, the accuracy results and the ethics behind using your profile for commercials discounts and catching killers.

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* R-Ladies Chicago | BlogdownR-Ladies Chicago | Blogdown


Details **Note: This is one of two R-Ladies Chicago events happening this month for our Northside-Southside double header, one in Hyde Park on 9/24, and another in Evanston on 9/26. Choose one or attend both!** R-Ladies Board Member Angela Li will lead a workshop on setting up your first website with the blogdown R package. By the end of this workshop, you will learn to make a template website for your personal or academic pursuits! • Prerequisites We ask that R-Ladies who are interested in this event please install R and RStudio ahead of time, as well as the "blogdown" package (details here: https://bookdown.org/yihui/blogdown/installation.html). Additionally, if you have no background with Git or Github, we *strongly* recommend you take a look at modules 4-8 of the free Happy Git with R book (https://happygitwithr.com/github-acct.html) and follow the instructions to get yourself set up ahead of time to reduce pain the day of. If you need help with this, please come early so we can help you in person.

* COMSOL WebinarCOMSOL Webinar


Transport phenomena include the topics of fluid dynamics, heat transfer, and mass transfer. The subject of transport phenomena is essential in all engineering branches and in many scientific branches as well. Mathematical modeling of these phenomena involves defining and solving the equations for momentum, energy, and mass balances. For most applications, these equations are approximated and solved using numerical methods. This webinar gives a short introduction to the subject of transport phenomena and to the numerical modeling of transport phenomena using the COMSOL Multiphysics® software. We demonstrate the use of numerical methods to model fluid flow, heat transfer, and mass transfer in three dimensions and time. The demonstrated examples include cooling in electronic devices as well as transport and reactions in porous media. We exemplify the modeling of turbulent and laminar flows, viscous momentum transport, diffusion, conduction, convection, advection, and radiation.

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* LatinR 2019LatinR 2019


Latinamerican Conference About the Use of R in R&D

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* R-Ladies Remote | #CoffeeChatR-Ladies Remote | #CoffeeChat


R-Ladies Remote welcomes members of all R proficiency levels, whether you're a new or aspiring R user, or an experienced R programmer interested in mentoring, networking & expert upskilling. Our community is designed to develop our members' R skills & knowledge through social, collaborative learning & sharing. Supporting minority identity access to STEM skills & careers, the Free Software Movement, and contributing to the global R community!

* RSS -Longitudinal & Miss. DataRSS -Longitudinal & Miss. Data


Longitudinal and Missing Data - 26 & 27 September 2019 Course Outline The course begins with a brief presentation of linear mixed models for continuous hierarchical data. The course focus is from the modeller’s perspective and on applications. Emphasis will be on model formulation, parameter estimation and hypothesis testing, as well as the distinction between the random-effects (hierarchical) model and the implied marginal model. Models for non-Gaussian data will be discussed, with a strong emphasis on generalized estimating equations (GEE) and the generalized linear mixed model (GLMM). A brief review of the classical generalized linear modelling framework will be presented. Similarities and differences to the continuous case will be discussed. The differences between marginal models (such as GEE) and random-effects models (such as the GLMM) will be explained in detail. Focus will be primarily on binary outcomes, however, GEE and GLMM model formulations will also be covered. When analysing hierarchical and longitudinal data, one is often confronted with missing observations, i.e. scheduled measurements have not been made, due to a variety of (known or unknown) reasons. It will be shown that, if no appropriate measures are taken, missing data can seriously jeopardize results and interpretation difficulties are bound to occur. Methods to properly analyse incomplete data, under flexible assumptions, will be presented. All topics will be illustrated with worked examples using SAS. While there are no hands-on practical sessions, the course notes do include worked examples with annotated programs and output from SAS, discussed in such a way that they will also be of use to non-SAS-users. Learning Outcomes Participants should be able to perform a basic analysis for a particular longitudinal data set at hand, using linear, generalized linear and non-linear tools for longitudinal data. Based on a selection of exploratory tools, the nature of the data and the research questions to be answered in the analyses, they should be able to construct an appropriate statistical model, to fit the model within the SAS framework and to interpret the obtained results. Further, participants should be aware not only of the possibilities and strengths of a particular selected approach, but also of its drawbacks in comparison to other methods. Topics Covered Day 1: Linear mixed models, model formulation, parameter interpretation, hierarchical versus marginal model interpretation, estimation and inference, empirical Bayes, model families for discrete outcomes, marginal models and generalized estimating equations (GEE). Day 2: Generalized mixed models, estimation methods (Laplace, MQL, PQL, Quadrature), comparison with GEE, missing data mechanisms, problems with non-random dropout (i.e. bias, loss of efficiency, etc.), modelling frameworks to handle dropout (selection, pattern mixture and shared parameter models), sensitivity analyses. Assumed Knowledge Throughout the course, it will be assumed that the participants are familiar with basic statistical modelling, including linear models (regression and analysis of variance), as well as generalized linear models (logistic and Poisson regression). Pre-requisite knowledge should also include general estimation and testing theory (maximum likelihood, likelihood ratio).

* R-Ladies Chicago | StatTagR-Ladies Chicago | StatTag


Details **Note: This is one of two events happening this month for our Northside-Southside double header, one in Hyde Park on 9/24, and another in Evanston on 9/26. Choose one or attend both!** Dr. Leah Welty will present: "Collaborative Reproducibility: Connecting R/R Markdown and Microsoft Word using StatTag" Although R Markdown can render documents to Microsoft Word, R/R Markdown users must sometimes transcribe statistical content in to separate Microsoft Word documents (e.g., documents drafted by colleagues in Word, or documents that must be prepared in Word), a process that is error prone, irreproducible, and inefficient. We will present StatTag (www.stattag.org), an open source, free, and user-friendly program we developed to address this problem. StatTag establishes a bi-directional link between R/RMarkdown files and a Word document, and supports a reproducible pipeline even when: (1) statistical results must be included and updated in Word documents that were never generated from Markdown; and (2) text in Word files generated from R/RMarkdown has departed substantially from original Markdown content, for example through tracked changes or comments. We will demonstrate how to use StatTag to connect R/RMarkdown and Word files so that all files can be edited separately, but statistical content –values, tables, figures, and verbatim output– can be updated automatically in Word. Using practical examples, we will also illustrate how to use StatTag to view, edit, and rerun R/RMarkdown code directly from Word. The talk will also include an overview of reproducible research in the collaborative research. About the Speaker Leah J. Welty, PhD is Professor in the Division of Biostatistics, Department of Preventive Medicine and in the Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, and is the Director of the Biostatistics Collaboration Center within the Northwestern University Clinical and Translational Sciences Institute. She is also the Immediate Past President of the Association of Clinical and Translational Statisticians. She earned her PhD in statistics from the University of Chicago, and completed a postdoctoral fellowship in the Department of Biostatistics at Johns Hopkins University Bloomberg School of Public Health. Her research interests include longitudinal and multilevel models, psychiatric epidemiology, and the development of reproducible research tools for clinical and translational science. She is the lead biostatistician for the Northwestern Juvenile Project, a large-scale longitudinal study of psychiatric disorders and risky behaviors in delinquent youth. She has led the development of StatTag, a free, open-source program to support reproducible research in clinical and translational science.

* LatinR 2019LatinR 2019


Latinamerican Conference About the Use of R in R&D

* Intro to Data Wizardry in RIntro to Data Wizardry in R


An Introduction to Data Wizardry: Structuring, Documenting and Performing Preliminary Data Analyses in the R Programming Language About this Event In collaboration with the UWA Women in Business, R-Ladies Perth will be running a workshop introducing how to structure data for use in the R programming language, keeping sound documentation and some basic data analyses. The workshop can be attended by those at beginner to intermediate level as materials will be written so participants can work at their own pace, though it is expected that software will be downloaded before the workshop (info in RSVP confirmation).

* R-Ladies MelbourneR-Ladies Melbourne


Take a Sad Plot & Make It Better For our second event this month, we welcome Alison Hill, who will give a seminar about plots and how to improve them. In this talk, Alison will talk about one plot’s life cycle, from a sad Powerpoint slide to an Excel chart and finally to the finished product made with the ggplot2 package in R. Along the way, she will discuss why each version of the plot fails in different ways and how each iteration improved on the last one. Alison is a data scientist & professional educator at RStudio, where she works to help people learn and use programming to do better work in less time, with less friction, and (perhaps) more joy. She loves working with data scientists across the spectrum- from beginners to advanced users- and particularly enjoy using software tools to create educational materials that enlighten and engage learners. Topics Alison teaches range from literate programming to machine learning. Her teaching materials have been used by NASA, Pew Research Center, University of Oregon, and now RStudio. This event will be hosted by our fantastic sponsor Nous. Pizza and drinks will be supplied for the evening. Arrive any time from 6.15 pm for a 6.30 pm start.

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* RSS -Longitudinal & Miss. DataRSS -Longitudinal & Miss. Data


Longitudinal and Missing Data - 26 & 27 September 2019 Course Outline The course begins with a brief presentation of linear mixed models for continuous hierarchical data. The course focus is from the modeller’s perspective and on applications. Emphasis will be on model formulation, parameter estimation and hypothesis testing, as well as the distinction between the random-effects (hierarchical) model and the implied marginal model. Models for non-Gaussian data will be discussed, with a strong emphasis on generalized estimating equations (GEE) and the generalized linear mixed model (GLMM). A brief review of the classical generalized linear modelling framework will be presented. Similarities and differences to the continuous case will be discussed. The differences between marginal models (such as GEE) and random-effects models (such as the GLMM) will be explained in detail. Focus will be primarily on binary outcomes, however, GEE and GLMM model formulations will also be covered. When analysing hierarchical and longitudinal data, one is often confronted with missing observations, i.e. scheduled measurements have not been made, due to a variety of (known or unknown) reasons. It will be shown that, if no appropriate measures are taken, missing data can seriously jeopardize results and interpretation difficulties are bound to occur. Methods to properly analyse incomplete data, under flexible assumptions, will be presented. All topics will be illustrated with worked examples using SAS. While there are no hands-on practical sessions, the course notes do include worked examples with annotated programs and output from SAS, discussed in such a way that they will also be of use to non-SAS-users. Learning Outcomes Participants should be able to perform a basic analysis for a particular longitudinal data set at hand, using linear, generalized linear and non-linear tools for longitudinal data. Based on a selection of exploratory tools, the nature of the data and the research questions to be answered in the analyses, they should be able to construct an appropriate statistical model, to fit the model within the SAS framework and to interpret the obtained results. Further, participants should be aware not only of the possibilities and strengths of a particular selected approach, but also of its drawbacks in comparison to other methods. Topics Covered Day 1: Linear mixed models, model formulation, parameter interpretation, hierarchical versus marginal model interpretation, estimation and inference, empirical Bayes, model families for discrete outcomes, marginal models and generalized estimating equations (GEE). Day 2: Generalized mixed models, estimation methods (Laplace, MQL, PQL, Quadrature), comparison with GEE, missing data mechanisms, problems with non-random dropout (i.e. bias, loss of efficiency, etc.), modelling frameworks to handle dropout (selection, pattern mixture and shared parameter models), sensitivity analyses. Assumed Knowledge Throughout the course, it will be assumed that the participants are familiar with basic statistical modelling, including linear models (regression and analysis of variance), as well as generalized linear models (logistic and Poisson regression). Pre-requisite knowledge should also include general estimation and testing theory (maximum likelihood, likelihood ratio).

* LatinR 2019LatinR 2019


Latinamerican Conference About the Use of R in R&D

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* R Advanced - We R LadiesR Advanced - We R Ladies


Course Objective: Learn how to make advanced charts and dashboards in R. SKILL LEVEL: INTERMEDIATE What will you learn in this course? • Interactive Charts (Highcharter - htmlwidgets for R) • Static Dashboard on R (Package flexdashboard) Is this course for you? If you are a woman (cis or trans) and want to learn to program simply and especially with a female facilitator, come miga that this course is for you <3 What do you need to bring? If possible, bring a computer and power strip. Before you start the course you will receive a guide with information on what needs to be installed and how to do it. Need some prior knowledge? Yes, it is ideal that you have attended our Intermediate R course, or have some intermediate notion of R. Will you have a certificate? Yes, everyone who takes the course will be entitled to a certificate of 6h. Who is the facilitator? Ana Carolina Dias - Master in Statistics from UFMG | Member of Stats4Good (Statistics for good) and Statistical Analyst.

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* SSA-Event -Comm. w/ R MarkdownSSA-Event -Comm. w/ R Markdown



           
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