Contact: sih.training@sydney.edu.au
We are a core research facility of the University of Sydney. We provide support, training, and expertise in research data management, statistics, data science, software engineering, simulation, visualisation, bioinformatics, and research computing.
Learn about Sydney University's Ronin Research Cloud Computing platform as a gateway to Amazon Web Services (AWS).
The Sydney Informatics Hub is a Core Research Facility at The University of Sydney, enabling excellence in research....
Keywords: Cloud computing, training material
In this 1 hr masterclass, Dr. Henry Lydecker and Dr. Gordon McDonald from the University of Sydney's Sydney Informatics Hub discuss:
- What ChatGPT is,
- A breif history of how we got here,
- Some ideas on how you can use it to accelerate your research
- Some pitfalls to beware of
- Some...
Keywords: ChatGPT, training material
Learn how to use Git and RStudio together for version control and collaboration. We provide hands-on assistance in getting Git and RStudio to communicate effectively. This Masterclass will highlight the importance of making collaboration transparent for everyone, as well as the benefits of using...
Keywords: Git, RStudio, training material
This Masterclass is an informative training session on data storytelling, designed to equip you with the skills and knowledge to effectively convey the "story" of your research. We explore various data storytelling techniques and introduce you to the tools available to visualize your data...
Keywords: data storytelling, training material
Stanislaus Stadlmann, a statistical consultant with the Sydney Informatics Hub, conducts a masterclass on Distributional Regression.
He discusses:
- SIH masterclasses in general
- Regression Analysis: How we got here
- Distributional Regression and its applications
*The Sydney...
Keywords: training material, Statistics, Regression analysis
How to stay safe in a connected world.
The internet has become an integral part of our daily lives. We rely on being connected for countless tasks, from managing our finances to social networking. However, as recent data breaches at Optus and Medibank have highlighted, this doesn’t come...
Keywords: Data security, training material
A personal blog or website gives you a permanent home for your research profile – it can be a great way to share your portfolio, publicize your research, and share your knowledge with the world.
In this workshop we’ll give an overview of how to set up a website using free tools like Pelican or...
Keywords: training material, website
Nathaniel Butterworth, the Research Computing Group Lead from the Sydney Informatics Hub at the University of Sydney, gives insights into the current state of Cloud Computing and a general overview of current platforms and services available to researchers.
*The Sydney Informatics Hub is a...
Keywords: cloud computing, training material
This is the first of four modules in our exciting new machine learning workshop series by the Sydney Informatics Hub (SIH).
Module 2: https://youtu.be/HVAFflj2PS0
Module 3:...
Keywords: Machine Learning, training material
The Geodata-Harvester project enables researchers with reusable workflows and provides open-source software for automatic data extraction from a wide range of data sources including spatial-temporal processing.
This workshop follows the notes from...
Keywords: Open Source Software, training material
This is the second of three modules in our exciting new machine learning workshop series by the Sydney Informatics Hub (SIH).
Module 1: https://youtu.be/dMwHFhKWRRI
Module 3:...
Keywords: Data analysis, training material
Bioinformatics is a vital component of biological and medical research, supporting data-driven discoveries, genomic medicine, and the development of innovative therapeutics. As the life sciences becomes increasingly data-driven, ‘doing’ bioinformatics to extract, process, analyse, and interpret...
Keywords: Bioinformatics, bioinformatics training, training material
Slides available here.
Presented by Dr. Henry Lydecker and Dr. Gordon McDonald of the Sydney Informatics Hub, on the 30th November 2023, as part of CSIRO's National AI Month.
Everyone is using ChatGPT these...
Keywords: Artificial Intelligence, training material
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Intro to REDCap
10 April 2024
Intro to REDCap https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/intro-to-redcap-9e9a5446-e6c3-41cf-985f-45619f20422f Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Intro to REDCap", we will cover:** - How to build a simple data entry project - How to collect data - How to add users/collaborators - How to export data Please note we will **not cover surveys**, as these are covered separately in our "Surveys in REDCap" training session. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. - This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc If you do not have a UniKey, please contact us to confirm your position after registration. **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html "https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html")for more information. 2024-04-10 10:00:00 UTC 2024-04-10 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Introduction to Survival Analysis
7 May 2024
Introduction to Survival Analysis https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/introduction-to-survival-analysis-08a464ee-af8e-4e91-b668-0f94aa54c4b9 Survival analysis is used when you want to measure the time elapsed up to when a specified event occurs. It is commonly used in studies where subjects are followed until death occurs, hence the name. In this workshop we will introduce some key concepts pertaining to survival analysis including censoring of cases, the survival function, and the hazard ratio estimator. The Kaplan Meier survival curve will be explained through a worked example and the technique of Cox proportional hazards regression will be introduced using the same example dataset. Participants will be provided with software code in SPSS and R to reproduce the analysis presented in the workshop. **Attendance options:** **In person:** Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2024-05-07 09:30:00 UTC 2024-05-07 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Multivariate Statistical Analysis 1: Dimension Reduction
7 May 2024
Multivariate Statistical Analysis 1: Dimension Reduction https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/multivariate-statistical-analysis-1-dimension-reduction-c7d340ba-9134-4d7b-8dd0-7ae8a593d0ba **Multivariate Statistical Analysis 1: Dimension Reduction** In multivariate statistics we simultaneously model and estimate variability in more than one variable often in order to examine the relationship between variables. This workshop examines the key aspects of moving from univariate to multivariate analysis, and the situations and scenarios where multivariate analysis is typically applied. The focus will be on practical application of concepts through examples. **Topics covered will include:** - Motivations for undertaking multivariate analysis - Statistical principles for multivariate analysis - Dimension reduction techniques including principal components analysis (PCA), factor analysis (FA), correspondence analysis (CA) and non-metric multidimensional scaling (nMDS) This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Pre-requisites** Prior experience with statistical modelling is assumed, as the basics of regression modelling will not be covered. Please consider attending Linear Models 1 and/or Linear Models 2 workshops to come up to speed beforehand. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a wide range of commonly available software. **Attendance options** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person**: Choose the _**In person**_ ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2024-05-07 11:30:00 UTC 2024-05-07 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Linear Models 2
21 May 2024
Linear Models 2 https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/linear-models-2-a1caa9bc-128c-41a4-8882-35e41539f00b **Linear Models 2: Logistic and Poisson/count regression-an introduction to Generalised Linear Models (GLM)**, focuses on Practical data analysis by presenting statistical workflows applicable in any software for two of the more common GLMM’s: Logistic regression for binary data (using a Binomial distribution); and Poisson/count regression for count data (using a Poisson distribution). The GLM framework is also described in detail. The R code used to create output is also included. ​ This is the second of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCT’s), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around statistical workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **Attendance options:** **In person:** Choose the "In person" ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2024-05-21 11:30:00 UTC 2024-05-21 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Linear Models 3
7 May 2024
Linear Models 3 https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/linear-models-3-d5d9bb80-34d6-4080-baac-84cd1db29905 **Linear Models 3: Advanced topics, tips and tricks** Discusses topics such as: - Reporting and Interpretation (estimated marginal means, confidence vs prediction intervals, applying and correcting for multiple comparisons, reporting variable \*Importance\*, plus other reporting and interpretation tricks) - Model Parametrisation using the Design Matrix (interpreting categorical predictor parameters, dummy coding, effects coding) - More on Mixed Models (introducing the random slope) This is the third of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCT’s), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around Statistical Workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **Attendance options:** - **In person**: Choose the **_In person_** ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. - **Online**: Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!** 2024-05-07 14:00:00 UTC 2024-05-07 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Linear Models 1
21 May 2024
Linear Models 1 https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/linear-models-1-d24f4c00-c647-4f7b-b8d4-2d18f4acf482 **Linear Models 1:  Linear regression, ANOVA, ANCOVA and repeated measures (a simple mixed model)** focuses on Practical Data Analysis by presenting Statistical Workflows applicable in any software for 4 of the most common univariate analyses: linear regression, ANOVA, ANCOVA, and repeated measures (a simple mixed model). All assuming a normal (gaussian) residual. These workflows can be easily extended to more complex models. The R code used to create output is also included. ​ This is one of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCT’s), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around Statistical Workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the "In person" ticket option. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2024-05-21 09:30:00 UTC 2024-05-21 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Statistical Model Building Strategies
21 May 2024
Statistical Model Building Strategies https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/statistical-model-building-strategies-c34519d4-9158-4f28-96bf-087b6522e926 This workshop examines and illustrates the key aspects and strategies of statistical model building to help you answer your research question, avoid common pitfalls, erroneous models and incorrect conclusions. Appropriate statistical model building will help you to gain knowledge as opposed to simply getting the best prediction (although that can be a goal as well). We will focus on concepts such as variable selection, multi-collinearity, interactions, selecting a model building strategy, comparing models and evaluating models. In general, these concepts are useful for any statistical model building. This workshop will provide generalised linear regression model examples. The focus will be on practical application of concepts so mathematical descriptions will be kept to a minimum. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the "In person" ticket option. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2024-05-21 14:00:00 UTC 2024-05-21 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Design and Analysis of Surveys 1: Best Practice
4 June 2024
Design and Analysis of Surveys 1: Best Practice https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/design-and-analysis-of-surveys-1-best-practice-f9d92437-6c0c-40e8-bf38-5c38466c6506 This workshop is full of practical tips and guidelines on how to design, field and analyse standard surveys. Some of the topics considered will be: how to design a survey, line vs discrete scales, the effect of colour, optimal discrete/LIKERT scales, pros and cons of common analyses (e.g. linear and logistic regression) and optimal ways to export data. The material is software agnostic and can be applied in any software. This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the "In person" ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2024-06-04 09:30:00 UTC 2024-06-04 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Surveys in REDCap
17 April 2024
Surveys in REDCap https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/surveys-in-redcap-0b1650d8-0ce2-46bd-a6f4-d2b1327f0e99 Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Surveys in REDCap", we will cover:** - How to turn a data collection instrument into a survey - How to distribute surveys - How to work with multiple surveys within a project (e.g. Survey Queue, Automated Survey Invitation features) **Essential pre-requisites:** You must know how to build a basic data entry project in REDCap. Please attend our "Intro to REDCap" webinar to cover this. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. - This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html "https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html")for more information. 2024-04-17 10:00:00 UTC 2024-04-17 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Design and Analysis of Surveys 2: Advanced topics
4 June 2024
Design and Analysis of Surveys 2: Advanced topics https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/design-and-analysis-of-surveys-2-advanced-topics-4d6bdd72-3d94-4da1-8088-eaef3d2f5af5 This workshop builds on the material in Surveys 1. It explores questionnaire validation and index creation using methods such as: Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) using Structural Equation Modelling (SEM), and Conjoint models such as Choice modelling. The material is software agnostic and can be applied in any software. This is just one workshop from a modular training programme made up of 1.5 hour workshops, each focusing on a single statistical method offered by Statistical Consulting within the Sydney Informatics Hub. Statistical Workflows giving practical step-by-step instructions applicable in any software are used and include experimental design, exploratory analysis, modelling, assumption testing, model interpretation and presentation of results. Researchers are encouraged to design a custom programme tailored to their research needs. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the "In person" ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2024-06-04 11:30:00 UTC 2024-06-04 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution [] -
Meta-Analysis: an introduction
4 June 2024
Meta-Analysis: an introduction https://www.sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training/training-calendar.html https://dresa.org.au/events/meta-analysis-an-introduction-8a98fad3-0720-4c1a-8e10-63a053e346ea **Meta Analysis - An Introduction, run by the Sydney Informatics Hub.** This workshop provides research students with a theoretical and practical introduction to meta-analysis as part of a systematic review. In this workshop we will be examining the process of performing a meta-analysis in particular focusing on key statistical concepts such as heterogeneity and Fixed and Random effects modelling. The available choices of statistical software will be discussed and participants will be shown worked examples using the **metafor** package in R. A basic knowledge of R software is desirable, but not necessary since participants are not expected to produce and run their own code during the workshop. **Attendance options:** **In person:** Choose the **_In person_** ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance. **Online**: Choose the **_Online Zoom_** ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. This includes Honours and higher degree by research students, academic staff, and professional staff who do research. - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!! 2024-06-04 14:00:00 UTC 2024-06-04 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []