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* R-Ladies- Johannesburg Mtg.R-Ladies- Johannesburg Mtg.


Hi everyone, Given the long weekend this month, our September meetup will be on the 1st October :), since we're set to have the normal October meetup later in October. The session will be interactive so please bring along your laptop, and please install the ffg. packages to follow along: 1. roxygen2 2. usethis 3. devtools 4. testthat

* SSA-Event: Young Stats 2019SSA-Event: Young Stats 2019


The Young Statisticians Conference 2019 will be held on 1-2 October 2019 in the nation’s capital, Canberra. We are delighted that we were able to secure Manuka Oval for SSA’s signature event for students and graduates. YSC2019 will bring together the best students and early-career professionals in statistics and data analysis from all around Australia. You do not want to miss this conference! When you register for the conference you need to be logged in as a member of SSA to take advantage of the member discount. Please note that a one-year student membership with SSA is available to full-time students for only ! Click here to register as a member of SSA and to see where your membership can take you! The YSC2019 dinner is not included in the conference registration fee. To register for the dinner click here.

* Book Club - R for Data ScienceBook Club - R for Data Science


Details The idea of the book club is to read through an R programming book in stages and work through questions/exercises over a several consecutive meetings. During the meeting attendees have the opportunity to ask questions and discuss the content of the book with the session host and each other. If the book includes exercises the meeting offers the opportunity to compare each others answers and work on more difficult problems together. The first book we will work through is the R for Data Science book (available online: https://r4ds.had.co.nz/ ), each fortnight we will discuss one of the sections: Explore, Wrangle, Program, Model, Communicate If this format is successful, future books could include: 1. Advanced R - https://adv-r.hadley.nz/ 2. R packages - http://r-pkgs.had.co.nz/ 3. Deep Learning with R (Not available for free, however, the associated github repo has all exercises) Location TBC - we are hoping to secure a venue in the CBD.

* RSS - Programming in RRSS - Programming in R


Location: 12 Errol Street London EC1Y 8LX CPD: 12 hours Level: Intermediate Course Outline The course is a two day intensive course on programming principles in R. On completion of the course participants will gain experience in a range of programming techniques for the R programming language. Users will be able to write their own functions and scripts for undertaking bespoke data analysis tasks. Consideration of memory allocation, code profiling and leveraging parallel computation will also be explored to guide participants in the principles of efficient R programming. Learning Outcomes By attending the course participants will gain experience in writing their own functions and scripts for data analysis in the R programming language. They will improve on their data manipulation skills. Further, attendees will also gain an understanding of how to make code more efficient and to extend their workflow to leverage the power of parallel computing. Topics Covered Data manipulation and aggregation using dplyr Control flow: conditional expressions, functional composition, for loops The 'apply' family of functions Efficient data structures Code Profiling Avoiding loops Parallel computing Target Audience This course is idea for anyone who would like to extend their basic familiarity with using R, and using R to write their own bespoke functions or optimizing their code.

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* RSS - MerseysideRSS - Merseyside


Wednesday 2nd October 2019 Chester Zoo Using longitudinal data analysis to inform conservation management Room 202, Brodie Tower, University of Liverpool Campus (Building 233, in gridsquare C8 on campus map) Chester Zoo has a dedicated Science Department working towards a mission to Prevent Extinction. Through strong collaborative partnerships, robust scientific evidence and effective dissemination of research findings we inform best practice and support conservation activities. We work with individual animals and wider captive populations across Europe to inform management decisions and work in six key geographical regions to inform conservation actions for a range of endangered species. We also play a pivotal role in measuring the educational impact of zoos and aquariums across the world. In this series of talks our four Lead Conservation Scientists will present case studies from their research areas to demonstrate how Chester Zoo use longitudinal data to inform conservation management of species in both ex-situ and in-situ conditions and demonstrate educational impact of zoos globally.

* SSA-Event: Young Stats 2019SSA-Event: Young Stats 2019


The Young Statisticians Conference 2019 will be held on 1-2 October 2019 in the nation’s capital, Canberra. We are delighted that we were able to secure Manuka Oval for SSA’s signature event for students and graduates. YSC2019 will bring together the best students and early-career professionals in statistics and data analysis from all around Australia. You do not want to miss this conference! When you register for the conference you need to be logged in as a member of SSA to take advantage of the member discount. Please note that a one-year student membership with SSA is available to full-time students for only ! Click here to register as a member of SSA and to see where your membership can take you! The YSC2019 dinner is not included in the conference registration fee. To register for the dinner click here.

* RSS - Programming in RRSS - Programming in R


Location: 12 Errol Street London EC1Y 8LX CPD: 12 hours Level: Intermediate Course Outline The course is a two day intensive course on programming principles in R. On completion of the course participants will gain experience in a range of programming techniques for the R programming language. Users will be able to write their own functions and scripts for undertaking bespoke data analysis tasks. Consideration of memory allocation, code profiling and leveraging parallel computation will also be explored to guide participants in the principles of efficient R programming. Learning Outcomes By attending the course participants will gain experience in writing their own functions and scripts for data analysis in the R programming language. They will improve on their data manipulation skills. Further, attendees will also gain an understanding of how to make code more efficient and to extend their workflow to leverage the power of parallel computing. Topics Covered Data manipulation and aggregation using dplyr Control flow: conditional expressions, functional composition, for loops The 'apply' family of functions Efficient data structures Code Profiling Avoiding loops Parallel computing Target Audience This course is idea for anyone who would like to extend their basic familiarity with using R, and using R to write their own bespoke functions or optimizing their code.

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* Women in Statistics ConferenceWomen in Statistics Conference


The American Statistical Association invites you to join us at the 2019 Women in Statistics and Data Science Conference in Bellevue, Washington. Professionals and students from academia, industry, and the government working in statistics and data science will gather and find unique opportunities to grow their influence, community, and knowledge. Whether you are a student, early-career professional, or experienced statistician or data scientist, this conference will deliver new knowledge and connections in an intimate and comfortable setting.

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* Women in Statistics ConferenceWomen in Statistics Conference


The American Statistical Association invites you to join us at the 2019 Women in Statistics and Data Science Conference in Bellevue, Washington. Professionals and students from academia, industry, and the government working in statistics and data science will gather and find unique opportunities to grow their influence, community, and knowledge. Whether you are a student, early-career professional, or experienced statistician or data scientist, this conference will deliver new knowledge and connections in an intimate and comfortable setting.

* Joint Working GroupJoint Working Group


The working group has the aim to promote the development and application of biostatistical procedures in the fields of multiple testing and group adaptive designs.

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* Women in Statistics ConferenceWomen in Statistics Conference


The American Statistical Association invites you to join us at the 2019 Women in Statistics and Data Science Conference in Bellevue, Washington. Professionals and students from academia, industry, and the government working in statistics and data science will gather and find unique opportunities to grow their influence, community, and knowledge. Whether you are a student, early-career professional, or experienced statistician or data scientist, this conference will deliver new knowledge and connections in an intimate and comfortable setting.

* Joint Working GroupJoint Working Group


The working group has the aim to promote the development and application of biostatistical procedures in the fields of multiple testing and group adaptive designs.

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


Importing and Tidying Up Data

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* R-Ladies Philly| Net. AnalysisR-Ladies Philly| Net. Analysis


Details Networks, also referred to as graphs in mathematics, model multiple types of relations and processes in physical, social, biological, and information systems. This workshop will cover some basics of network components and graph theory, while specifically focusing on how to implement network analyses using R igraph object. The topics will include manipulation, measurement, and clustering of networks using igraph package and visualization with ggraph package. The workshop will end with a practice problem using real-world flight network data. Some familiarity with dplyr and ggplot will be useful and expected, but not required. About our speaker: Chun Su is a bioinformatics scientist at Children’s Hospital of Philadelphia, and also a R-ladies Philly co-organizer. Her research interest is to study the influence of the gene regulatory networks on the genetic susceptibility for childhood diseases using high-throughput genomics data.

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* SSA - NSW Young StatsSSA - NSW Young Stats


The NSW branch of the Statistical Society of Australia warmly invites all undergraduate, postgraduate and early career statisticians and data scientists to attend our annual Young Statisticians Careers & Networking Evening on Wed, October 9th, 2019. This year we have spectacular speakers from financial, government, academic and consultancy services. The speakers will share stories from their careers and provide insights into their professions. For example, have you wondered what you can do after doing a statistics degree; what it is like to transition from mathematics to statistics; or what other statistics professions are like, then this event is for you! After the talks, there will be plenty of time to chat with the speakers over drinks and food and to connect with people from many different areas of statistics, including government, industry and academia. Come join us to discover how analytical techniques translate into pragmatic problem-solving in the real world! This event is made possible with organisation and sponsorship from the SSA NSW Branch. We are grateful for Commonwealth Bank of Australia for sponsoring the venue and catering; and for ACEMS for the generous additional financial sponsorship. Please note that you will have to bring your ID on the day. We will send you a reminder email closer to the date.

* RSS - New Fellow EventRSS - New Fellow Event

Time: 2019-10-16T18:30:00+00:000000000031201910



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* October IBS Journal ClubOctober IBS Journal Club


The International Biometric Society (IBS) Journal Club is an initiative, designed by the Education Committee to help members and others network and discuss recent papers published in IBS journals.

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* R Studio - Intro to RR Studio - Intro to R


Looking for an effective way to learn R? This one day course will teach you a workflow for doing data science with the R language. It focuses on using R's Tidyverse, which is a core set of R packages that are known for their impressive performance and ease of use. We will focus on doing data science, not programming. You'll learn to: 1. Visualize data with R's ggplot2 package 2. Wrangle data with R's dplyr package 3. Fit models with base R 4. Document your work reproducibly with R Markdown Along the way, you will practice using R's syntax, gaining comfort with R through many exercises and examples. Bring your laptop!

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* R Studio - Intro to RR Studio - Intro to R


Looking for an effective way to learn R? This one day course will teach you a workflow for doing data science with the R language. It focuses on using R's Tidyverse, which is a core set of R packages that are known for their impressive performance and ease of use. We will focus on doing data science, not programming. You'll learn to: 1. Visualize data with R's ggplot2 package 2. Wrangle data with R's dplyr package 3. Fit models with base R 4. Document your work reproducibly with R Markdown Along the way, you will practice using R's syntax, gaining comfort with R through many exercises and examples. Bring your laptop!

* Book Club - R for Data ScienceBook Club - R for Data Science


The idea of the book club is to read through an R programming book in stages and work through questions/exercises over a several consecutive meetings. During the meeting attendees have the opportunity to ask questions and discuss the content of the book with the session host and each other. If the book includes exercises the meeting offers the opportunity to compare each others answers and work on more difficult problems together. The first book we will work through is the R for Data Science book (available online: https://r4ds.had.co.nz/ ), each fortnight we will discuss one of the sections: Explore, Wrangle, Program, Model, Communicate If this format is successful, future books could include: 1. Advanced R - https://adv-r.hadley.nz/ 2. R packages - http://r-pkgs.had.co.nz/ 3. Deep Learning with R (Not available for free, however, the ass

* R-Ladies Barcelona - Meet-UpR-Ladies Barcelona - Meet-Up


Plotting with ggplot2 Save the date!

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* RSS - Discussion Paper MeetingRSS - Discussion Paper Meeting


Wednesday 16 October 2019, 05:00pm Location - Royal Statistical Society, 12 Errol Street London EC1Y 8LX Speaker: Paromita Dubey and Hans-Georg Müller(University of California at Davis, USA) Functional data analysis provides a popular toolbox of functional models for the analysis of samples of random functions that are real valued. In recent years, samples of time-varying object data such as time-varying networks that are not in a vector space have been increasingly collected. These data can be viewed as elements of a general metric space that lacks local or global linear structure and therefore common approaches that have been used with great success for the analysis of functional data, such as functional principal component analysis, cannot be applied. We propose metric covariance, a novel association measure for paired object data lying in a metric space (?, d) that we use to define a metric autocovariance function for a sample of random ?-valued curves, where ? generally will not have a vector space or manifold structure. The proposed metric autocovariance function is non-negative definite when the squared semimetric d2 is of negative type. Then the eigenfunctions of the linear operator with the autocovariance function as kernel can be used as building blocks for an object functional principal component analysis for ?-valued functional data, including time-varying probability distributions, covariance matrices and time dynamic networks. Analogues of functional principal components for time-varying objects are obtained by applying Fréchet means and projections of distance functions of the random object trajectories in the directions of the eigenfunctions, leading to real-valued Fréchet scores. Using the notion of generalized Fréchet integrals, we construct object functional principal components that lie in the metric space ?. We establish asymptotic consistency of the sample-based estimators for the corresponding population targets under mild metric entropy conditions on ? and continuity of the ?-valued random curves. These concepts are illustrated with samples of time-varying probability distributions for human mortality, time-varying covariance matrices derived from trading patterns and time-varying networks that arise from New York taxi trips.

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* Lambrecht Summer School 2019Lambrecht Summer School 2019



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* Lambrecht Summer School 2019Lambrecht Summer School 2019



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* Lambrecht Summer School 2019Lambrecht Summer School 2019



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* Lambrecht Summer School 2019Lambrecht Summer School 2019



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


Data Wrangling & Visualization

* CPD105 - PROPENSITY SCORECPD105 - PROPENSITY SCORE


SSA and ACEMS are proud to present the following 1-day workshop with Liz Stuart to be held on 21 October 2019 in Sydney: Propensity score methods for estimating causal effects in non-experimental studies: The why, what, and how

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* Intro to Machine Learning in RIntro to Machine Learning in R


This is a two day course covering the application of machine-learning methodology to real-world analytics problems. The course outlines the stages involved in a machine learning analysis, and walks through how to perform them using the R programming language and the caret library. Participants will be provided with exercises to complete in R so as to gain hands-on experience in using the methods presented. The individual stages of: problem formulation, data preparation, feature engineering, model selection and model refinement will be walked through in detail giving participants a solid process to follow for any machine-learning analysis. This includes methods for evaluating machine-learning models in terms of a performance metric as well as assessing bias and variance. Delegates are expect to bring a laptop with the R software installed.

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* AAAS 2019 ConferenceAAAS 2019 Conference


AAAS Science, Technology and Human Rights Conference 2019: Program This agenda is preliminary and is subject to change: This three-day conference brings together human rights leaders from around the world, academic researchers across different disciplines, scientists and engineers who work in private industry, government officials, members of impacted and vulnerable communities, and students in science, engineering, human rights, health and law. Together we will take stock of progress made towards building effective partnerships between the scientific community and human rights communities, share lessons learned, and develop collaborative, multidisciplinary approaches to the most urgent human rights challenges ahead of us.

* Intro to Machine Learning in RIntro to Machine Learning in R


This is a two day course covering the application of machine-learning methodology to real-world analytics problems. The course outlines the stages involved in a machine learning analysis, and walks through how to perform them using the R programming language and the caret library. Participants will be provided with exercises to complete in R so as to gain hands-on experience in using the methods presented. The individual stages of: problem formulation, data preparation, feature engineering, model selection and model refinement will be walked through in detail giving participants a solid process to follow for any machine-learning analysis. This includes methods for evaluating machine-learning models in terms of a performance metric as well as assessing bias and variance. Delegates are expect to bring a laptop with the R software installed.

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* AAAS 2019 ConferenceAAAS 2019 Conference


AAAS Science, Technology and Human Rights Conference 2019: Program This agenda is preliminary and is subject to change: This three-day conference brings together human rights leaders from around the world, academic researchers across different disciplines, scientists and engineers who work in private industry, government officials, members of impacted and vulnerable communities, and students in science, engineering, human rights, health and law. Together we will take stock of progress made towards building effective partnerships between the scientific community and human rights communities, share lessons learned, and develop collaborative, multidisciplinary approaches to the most urgent human rights challenges ahead of us.

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* AAAS 2019 ConferenceAAAS 2019 Conference


AAAS Science, Technology and Human Rights Conference 2019: Program This agenda is preliminary and is subject to change: This three-day conference brings together human rights leaders from around the world, academic researchers across different disciplines, scientists and engineers who work in private industry, government officials, members of impacted and vulnerable communities, and students in science, engineering, human rights, health and law. Together we will take stock of progress made towards building effective partnerships between the scientific community and human rights communities, share lessons learned, and develop collaborative, multidisciplinary approaches to the most urgent human rights challenges ahead of us.

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* RSS - Data & Basic StatisticsRSS - Data & Basic Statistics


Location: Birkbeck, University of London Course Outline This practical, two-day workshop will present an overview of the manipulations of data that are often required prior to statistical analysis. Topics will include dealing with outliers, combining data from different sources, calculating annual average growth rates, weighting and smoothing data and constructing indexes. It also covers basic statistical methods used in describing data such as measures of central tendency and dispersion, correlation and the use of dummy variables in regression analysis. Topics Covered Day One - Data Manipulation Morning - Common problems in using data This session will begin with a discussion of data as samples from populations, observing data and detecting outliers, and issues that arise in merging data different sources. It will then discuss methods to summarise data, both cross sectionally and through time. Estimating growth rates involves an introduction to the use of logarithmic and exponential functions. The session will end by presenting methods to construct indexes, including Laspeyres, Paasche, Fisher and Tornqvist indexes. Afternoon – Exercises on data manipulation using Excel This will involve exercises on each of the topics covered in the morning session. The tutor will give an overview of how the exercises should be tackled. Participants will then be asked to do these at their own pace, with the tutor assisting when required. Full answers to the exercises will be given at the end of the session. Day Two - Statistical Inference Morning – Methods for statistical inference This session will introduce the ideas of sampling distribution, the normal and t distributions, a decision framework for testing hypotheses, correlation and the method of ordinary least squares regressions. Afternoon – Exercises on statistical inference using STATA In this session the participants will do some exercises by replicating the commands used by the tutor and some additional exercises on their own. The tutor will feedback on answers during the session. Delegate Feedback • Excellent examples used throughout. • Tutors were extremely knowledgeable and friendly.

* IBS- DR Academy meets IndustryIBS- DR Academy meets Industry


Connect – Collaborate – Create The aim of this workshop is to provide a meeting ground for academic researchers, statisticians in the pharmaceutical industry, as well as BSc, MSc and PhD students with an interest in statistical research. Free admission!

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* Book Club - R for Data ScienceBook Club - R for Data Science


The idea of the book club is to read through an R programming book in stages and work through questions/exercises over a several consecutive meetings. During the meeting attendees have the opportunity to ask questions and discuss the content of the book with the session host and each other. If the book includes exercises the meeting offers the opportunity to compare each others answers and work on more difficult problems together. The first book we will work through is the R for Data Science book (available online: https://r4ds.had.co.nz/ ), each fortnight we will discuss one of the sections: Explore, Wrangle, Program, Model, Communicate If this format is successful, future books could include: 1. Advanced R - https://adv-r.hadley.nz/ 2. R packages - http://r-pkgs.had.co.nz/ 3. Deep Learning with R (Not available for free, however, the associated github repo has all exercises)

* RSS - Data & Basic StatisticsRSS - Data & Basic Statistics


Location: Birkbeck, University of London Course Outline This practical, two-day workshop will present an overview of the manipulations of data that are often required prior to statistical analysis. Topics will include dealing with outliers, combining data from different sources, calculating annual average growth rates, weighting and smoothing data and constructing indexes. It also covers basic statistical methods used in describing data such as measures of central tendency and dispersion, correlation and the use of dummy variables in regression analysis. Topics Covered Day One - Data Manipulation Morning - Common problems in using data This session will begin with a discussion of data as samples from populations, observing data and detecting outliers, and issues that arise in merging data different sources. It will then discuss methods to summarise data, both cross sectionally and through time. Estimating growth rates involves an introduction to the use of logarithmic and exponential functions. The session will end by presenting methods to construct indexes, including Laspeyres, Paasche, Fisher and Tornqvist indexes. Afternoon – Exercises on data manipulation using Excel This will involve exercises on each of the topics covered in the morning session. The tutor will give an overview of how the exercises should be tackled. Participants will then be asked to do these at their own pace, with the tutor assisting when required. Full answers to the exercises will be given at the end of the session. Day Two - Statistical Inference Morning – Methods for statistical inference This session will introduce the ideas of sampling distribution, the normal and t distributions, a decision framework for testing hypotheses, correlation and the method of ordinary least squares regressions. Afternoon – Exercises on statistical inference using STATA In this session the participants will do some exercises by replicating the commands used by the tutor and some additional exercises on their own. The tutor will feedback on answers during the session. Delegate Feedback • Excellent examples used throughout. • Tutors were extremely knowledgeable and friendly.

* IBS- DR Academy meets IndustryIBS- DR Academy meets Industry


Connect – Collaborate – Create The aim of this workshop is to provide a meeting ground for academic researchers, statisticians in the pharmaceutical industry, as well as BSc, MSc and PhD students with an interest in statistical research. Free admission!

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