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2 events found
Keywords: mixed effects
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Applied Longitudinal Data Analysis: Online
20 - 24 January 2025
Applied Longitudinal Data Analysis: Online https://www.acspri.org.au/summer-program-2025/applied-longitudinal-data-analysis-online https://dresa.org.au/events/applied-longitudinal-data-analysis-online-96122d42-a60d-4376-bd7d-11a16df8dcdf Longitudinal Data Analysis is a very popular statistical method in a range of fields including medicine, natural resource management, business and economics. As well as allowing a researcher to elicit the changes in a subject (person, business, etc) over time, longitudinal data is also exceedingly powerful as it allows the within-subject and between-subject variance to be estimated independently (generally allowing the parameters in the statistical model to be estimated with a much tighter accuracy than traditional models). This course provides an overview of Longitudinal Data Analysis. As well as the statistical theory, an overview of the many applications and capabilities of LDA is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of LDA and how it is used by applied researchers. The workshop will focus on linear mixed effects models, however we will also go through generalized linear mixed effects models and any new material a participant will need to understand in order to successfully use generalized LME’s. There will be exercises using both types of models. The computer exercises for this workshop will be conducted in Stata. Stata has been chosen as it provides both basic and advanced functionality for conducting longitudinal data analyses. A full set of exercises and solutions in Stata will be provided in this workshop, where they include the Stata syntax required to perform each individual exercise. In addition the workshop presenter will demonstrate how to use Stata for the first exercise in each session prior to workshop participants individually working though the exercises for that session. While this workshop is primarily designed for participants using Stata, an alternative set of exercises can be provided for participants who would like to use R instead. 2025-01-20 09:00:00 UTC 2025-01-24 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all longitudinal dataStatistical Methodsmixed effectsquantitative -
Applied Longitudinal Data Analysis
3 - 7 February 2025
Parkville, Australia
Applied Longitudinal Data Analysis https://www.acspri.org.au/summer-program-2025/applied-longitudinal-data-analysis https://dresa.org.au/events/applied-longitudinal-data-analysis-01850555-2b7e-44fe-bec7-ce8ce8a79285 Longitudinal Data Analysis is a very popular statistical method in a range of fields including medicine, natural resource management, business and economics. As well as allowing a researcher to elicit the changes in a subject (person, business, etc) over time, longitudinal data is also exceedingly powerful as it allows the within-subject and between-subject variance to be estimated independently (generally allowing the parameters in the statistical model to be estimated with a much tighter accuracy than traditional models). This course provides an overview of Longitudinal Data Analysis. As well as the statistical theory, an overview of the many applications and capabilities of LDA is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of LDA and how it is used by applied researchers. The workshop will focus on linear mixed effects models, however we will also go through generalized linear mixed effects models and any new material a participant will need to understand in order to successfully use generalized LME’s. There will be exercises using both types of models. The computer exercises for this workshop will be conducted in Stata. Stata has been chosen as it provides both basic and advanced functionality for conducting longitudinal data analyses. A full set of exercises and solutions in Stata will be provided in this workshop, where they include the Stata syntax required to perform each individual exercise. In addition the workshop presenter will demonstrate how to use Stata for the first exercise in each session prior to workshop participants individually working though the exercises for that session. While this workshop is primarily designed for participants using Stata, an alternative set of exercises can be provided for participants who would like to use R instead. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 workshop open_to_all longitudinal dataStatistical Methodsmixed effectsquantitative
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Applied Longitudinal Data Analysis: Online
20 - 24 January 2025
Applied Longitudinal Data Analysis: Online https://www.acspri.org.au/summer-program-2025/applied-longitudinal-data-analysis-online https://dresa.org.au/events/applied-longitudinal-data-analysis-online-96122d42-a60d-4376-bd7d-11a16df8dcdf Longitudinal Data Analysis is a very popular statistical method in a range of fields including medicine, natural resource management, business and economics. As well as allowing a researcher to elicit the changes in a subject (person, business, etc) over time, longitudinal data is also exceedingly powerful as it allows the within-subject and between-subject variance to be estimated independently (generally allowing the parameters in the statistical model to be estimated with a much tighter accuracy than traditional models). This course provides an overview of Longitudinal Data Analysis. As well as the statistical theory, an overview of the many applications and capabilities of LDA is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of LDA and how it is used by applied researchers. The workshop will focus on linear mixed effects models, however we will also go through generalized linear mixed effects models and any new material a participant will need to understand in order to successfully use generalized LME’s. There will be exercises using both types of models. The computer exercises for this workshop will be conducted in Stata. Stata has been chosen as it provides both basic and advanced functionality for conducting longitudinal data analyses. A full set of exercises and solutions in Stata will be provided in this workshop, where they include the Stata syntax required to perform each individual exercise. In addition the workshop presenter will demonstrate how to use Stata for the first exercise in each session prior to workshop participants individually working though the exercises for that session. While this workshop is primarily designed for participants using Stata, an alternative set of exercises can be provided for participants who would like to use R instead. 2025-01-20 09:00:00 UTC 2025-01-24 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all longitudinal dataStatistical Methodsmixed effectsquantitative -
Applied Longitudinal Data Analysis
3 - 7 February 2025
Parkville, Australia
Applied Longitudinal Data Analysis https://www.acspri.org.au/summer-program-2025/applied-longitudinal-data-analysis https://dresa.org.au/events/applied-longitudinal-data-analysis-01850555-2b7e-44fe-bec7-ce8ce8a79285 Longitudinal Data Analysis is a very popular statistical method in a range of fields including medicine, natural resource management, business and economics. As well as allowing a researcher to elicit the changes in a subject (person, business, etc) over time, longitudinal data is also exceedingly powerful as it allows the within-subject and between-subject variance to be estimated independently (generally allowing the parameters in the statistical model to be estimated with a much tighter accuracy than traditional models). This course provides an overview of Longitudinal Data Analysis. As well as the statistical theory, an overview of the many applications and capabilities of LDA is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of LDA and how it is used by applied researchers. The workshop will focus on linear mixed effects models, however we will also go through generalized linear mixed effects models and any new material a participant will need to understand in order to successfully use generalized LME’s. There will be exercises using both types of models. The computer exercises for this workshop will be conducted in Stata. Stata has been chosen as it provides both basic and advanced functionality for conducting longitudinal data analyses. A full set of exercises and solutions in Stata will be provided in this workshop, where they include the Stata syntax required to perform each individual exercise. In addition the workshop presenter will demonstrate how to use Stata for the first exercise in each session prior to workshop participants individually working though the exercises for that session. While this workshop is primarily designed for participants using Stata, an alternative set of exercises can be provided for participants who would like to use R instead. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 workshop open_to_all longitudinal dataStatistical Methodsmixed effectsquantitative
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