BEGIN:VCALENDAR VERSION:2.0 PRODID:www.eu-parc.eu BEGIN:VEVENT UID:69f3b105ea6c3 DTSTART;VALUE=DATE:20250901 SEQUENCE:0 TRANSP:OPAQUE DTEND;VALUE=DATE:20250902 SUMMARY:Advanced Statistics: Statistical Modelling CLASS:PUBLIC DESCRIPTION:The Advanced Statistics: Statistical Modelling course will take place in person from 1 to 4 September 2025 at the University of Lausanne. Participants will explore advanced statistical models and techniques such as generalised linear models\, mixed-effects models for longitudinal data \, and non-linear approaches including splines\, polynomial regression\, a nd generalised additive models. The course will conclude with a focus on m odel performance\, regularisation\, and cross-validation methods. \;E mphasis will be placed on applying these methods to real-world biological and clinical datasets using R. \;Target audienceThis course is aimed a t life sciences professionals who already have working knowledge of R and basic statistics\, including hypothesis testing\, correlation\, and linear models. Participants are required to bring their own laptops with R versi on 4.5.0 and RStudio 2025.05.1-513 pre-installed. \; X-ALT-DESC;FMTTYPE=text/html:

The Advanced Statistics: Statistical Modelling course will take place in person from 1 to 4 September 2025 at the Univer sity of Lausanne. Participants will explore advanced statistical models an d techniques such as generalised linear models\, mixed-effects models for longitudinal data\, and non-linear approaches including splines\, polynomi al regression\, and generalised additive models. The course will conclude with a focus on model performance\, regularisation\, and cross-validation methods. \;Emphasis will be placed on applying these methods to real- world biological and clinical datasets using R. \;

Target audience
This course i s aimed at life sciences professionals who already have working knowledge of R and basic statistics\, including hypothesis testing\, correlation\, a nd linear models. Participants are required to bring their own laptops wit h R version 4.5.0 and RStudio 2025.05.1-513 pre-installed. \;

X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260430T194405Z END:VEVENT BEGIN:VEVENT UID:69f3b105ea6e9 DTSTART;VALUE=DATE:20250902 SEQUENCE:0 TRANSP:OPAQUE DTEND;VALUE=DATE:20250903 SUMMARY:Advanced Statistics: Statistical Modelling CLASS:PUBLIC DESCRIPTION:The Advanced Statistics: Statistical Modelling course will take place in person from 1 to 4 September 2025 at the University of Lausanne. Participants will explore advanced statistical models and techniques such as generalised linear models\, mixed-effects models for longitudinal data \, and non-linear approaches including splines\, polynomial regression\, a nd generalised additive models. The course will conclude with a focus on m odel performance\, regularisation\, and cross-validation methods. \;E mphasis will be placed on applying these methods to real-world biological and clinical datasets using R. \;Target audienceThis course is aimed a t life sciences professionals who already have working knowledge of R and basic statistics\, including hypothesis testing\, correlation\, and linear models. Participants are required to bring their own laptops with R versi on 4.5.0 and RStudio 2025.05.1-513 pre-installed. \; X-ALT-DESC;FMTTYPE=text/html:

X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260430T194405Z END:VEVENT BEGIN:VEVENT UID:69f3b105ea6f8 DTSTART;VALUE=DATE:20250903 SEQUENCE:0 TRANSP:OPAQUE DTEND;VALUE=DATE:20250904 SUMMARY:Advanced Statistics: Statistical Modelling CLASS:PUBLIC DESCRIPTION:The Advanced Statistics: Statistical Modelling course will take place in person from 1 to 4 September 2025 at the University of Lausanne. Participants will explore advanced statistical models and techniques such as generalised linear models\, mixed-effects models for longitudinal data \, and non-linear approaches including splines\, polynomial regression\, a nd generalised additive models. The course will conclude with a focus on m odel performance\, regularisation\, and cross-validation methods. \;E mphasis will be placed on applying these methods to real-world biological and clinical datasets using R. \;Target audienceThis course is aimed a t life sciences professionals who already have working knowledge of R and basic statistics\, including hypothesis testing\, correlation\, and linear models. Participants are required to bring their own laptops with R versi on 4.5.0 and RStudio 2025.05.1-513 pre-installed. \; X-ALT-DESC;FMTTYPE=text/html:

X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260430T194405Z END:VEVENT BEGIN:VEVENT UID:69f3b105ea704 DTSTART;VALUE=DATE:20250904 SEQUENCE:0 TRANSP:OPAQUE DTEND;VALUE=DATE:20250905 SUMMARY:Advanced Statistics: Statistical Modelling CLASS:PUBLIC DESCRIPTION:The Advanced Statistics: Statistical Modelling course will take place in person from 1 to 4 September 2025 at the University of Lausanne. Participants will explore advanced statistical models and techniques such as generalised linear models\, mixed-effects models for longitudinal data \, and non-linear approaches including splines\, polynomial regression\, a nd generalised additive models. The course will conclude with a focus on m odel performance\, regularisation\, and cross-validation methods. \;E mphasis will be placed on applying these methods to real-world biological and clinical datasets using R. \;Target audienceThis course is aimed a t life sciences professionals who already have working knowledge of R and basic statistics\, including hypothesis testing\, correlation\, and linear models. Participants are required to bring their own laptops with R versi on 4.5.0 and RStudio 2025.05.1-513 pre-installed. \; X-ALT-DESC;FMTTYPE=text/html:

X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260430T194405Z END:VEVENT END:VCALENDAR