This training co urse will take place on-site at UMIT Tirol\, Austria\, from 19–23 May 20 25\, and offers 5 ECTS credits. It introduces key concepts and methods in causal inference\, with a strong focus on real-world applications in healt h technology assessment and policy. The five-day programme combines lectur es\, case discussions\, group work\, and hands-on computer sessions using Stata and R. Participants will explore various causal methods and treatmen t switching adjustment techniques through practical exercises\, supported by teaching assistants. The course is ideal for professionals in healthcar e\, regulatory agencies\, academia\, and industry\, with basic knowledge o f biostatistics and statistical software required.
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X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260616T082246Z END:VEVENT BEGIN:VEVENT UID:6a3107d62ece9 DTSTART;VALUE=DATE:20250520 SEQUENCE:0 TRANSP:OPAQUE DTEND;VALUE=DATE:20250521 SUMMARY:Causal Inference for Assessing Effectiveness in Real World Data and Clinical Trials: A Practical Hands-on Workshop CLASS:PUBLIC DESCRIPTION:This training course will take place on-site at UMIT Tirol\, Au stria\, from 19–23 May 2025\, and offers 5 ECTS credits. It introduces k ey concepts and methods in causal inference\, with a strong focus on real- world applications in health technology assessment and policy. The five-da y programme combines lectures\, case discussions\, group work\, and hands- on computer sessions using Stata and R. Participants will explore various causal methods and treatment switching adjustment techniques through pract ical exercises\, supported by teaching assistants. The course is ideal for professionals in healthcare\, regulatory agencies\, academia\, and indust ry\, with basic knowledge of biostatistics and statistical software requir ed. \; X-ALT-DESC;FMTTYPE=text/html:This training co urse will take place on-site at UMIT Tirol\, Austria\, from 19–23 May 20 25\, and offers 5 ECTS credits. It introduces key concepts and methods in causal inference\, with a strong focus on real-world applications in healt h technology assessment and policy. The five-day programme combines lectur es\, case discussions\, group work\, and hands-on computer sessions using Stata and R. Participants will explore various causal methods and treatmen t switching adjustment techniques through practical exercises\, supported by teaching assistants. The course is ideal for professionals in healthcar e\, regulatory agencies\, academia\, and industry\, with basic knowledge o f biostatistics and statistical software required.
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X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260616T082246Z END:VEVENT BEGIN:VEVENT UID:6a3107d62ecff DTSTART;VALUE=DATE:20250521 SEQUENCE:0 TRANSP:OPAQUE DTEND;VALUE=DATE:20250522 SUMMARY:Causal Inference for Assessing Effectiveness in Real World Data and Clinical Trials: A Practical Hands-on Workshop CLASS:PUBLIC DESCRIPTION:This training course will take place on-site at UMIT Tirol\, Au stria\, from 19–23 May 2025\, and offers 5 ECTS credits. It introduces k ey concepts and methods in causal inference\, with a strong focus on real- world applications in health technology assessment and policy. The five-da y programme combines lectures\, case discussions\, group work\, and hands- on computer sessions using Stata and R. Participants will explore various causal methods and treatment switching adjustment techniques through pract ical exercises\, supported by teaching assistants. The course is ideal for professionals in healthcare\, regulatory agencies\, academia\, and indust ry\, with basic knowledge of biostatistics and statistical software requir ed. \; X-ALT-DESC;FMTTYPE=text/html:This training co urse will take place on-site at UMIT Tirol\, Austria\, from 19–23 May 20 25\, and offers 5 ECTS credits. It introduces key concepts and methods in causal inference\, with a strong focus on real-world applications in healt h technology assessment and policy. The five-day programme combines lectur es\, case discussions\, group work\, and hands-on computer sessions using Stata and R. Participants will explore various causal methods and treatmen t switching adjustment techniques through practical exercises\, supported by teaching assistants. The course is ideal for professionals in healthcar e\, regulatory agencies\, academia\, and industry\, with basic knowledge o f biostatistics and statistical software required.
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X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260616T082246Z END:VEVENT BEGIN:VEVENT UID:6a3107d62ed12 DTSTART;VALUE=DATE:20250522 SEQUENCE:0 TRANSP:OPAQUE DTEND;VALUE=DATE:20250523 SUMMARY:Causal Inference for Assessing Effectiveness in Real World Data and Clinical Trials: A Practical Hands-on Workshop CLASS:PUBLIC DESCRIPTION:This training course will take place on-site at UMIT Tirol\, Au stria\, from 19–23 May 2025\, and offers 5 ECTS credits. It introduces k ey concepts and methods in causal inference\, with a strong focus on real- world applications in health technology assessment and policy. The five-da y programme combines lectures\, case discussions\, group work\, and hands- on computer sessions using Stata and R. Participants will explore various causal methods and treatment switching adjustment techniques through pract ical exercises\, supported by teaching assistants. The course is ideal for professionals in healthcare\, regulatory agencies\, academia\, and indust ry\, with basic knowledge of biostatistics and statistical software requir ed. \; X-ALT-DESC;FMTTYPE=text/html:This training co urse will take place on-site at UMIT Tirol\, Austria\, from 19–23 May 20 25\, and offers 5 ECTS credits. It introduces key concepts and methods in causal inference\, with a strong focus on real-world applications in healt h technology assessment and policy. The five-day programme combines lectur es\, case discussions\, group work\, and hands-on computer sessions using Stata and R. Participants will explore various causal methods and treatmen t switching adjustment techniques through practical exercises\, supported by teaching assistants. The course is ideal for professionals in healthcar e\, regulatory agencies\, academia\, and industry\, with basic knowledge o f biostatistics and statistical software required.
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X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260616T082246Z END:VEVENT BEGIN:VEVENT UID:6a3107d62ed24 DTSTART;VALUE=DATE:20250523 SEQUENCE:0 TRANSP:OPAQUE DTEND;VALUE=DATE:20250524 SUMMARY:Causal Inference for Assessing Effectiveness in Real World Data and Clinical Trials: A Practical Hands-on Workshop CLASS:PUBLIC DESCRIPTION:This training course will take place on-site at UMIT Tirol\, Au stria\, from 19–23 May 2025\, and offers 5 ECTS credits. It introduces k ey concepts and methods in causal inference\, with a strong focus on real- world applications in health technology assessment and policy. The five-da y programme combines lectures\, case discussions\, group work\, and hands- on computer sessions using Stata and R. Participants will explore various causal methods and treatment switching adjustment techniques through pract ical exercises\, supported by teaching assistants. The course is ideal for professionals in healthcare\, regulatory agencies\, academia\, and indust ry\, with basic knowledge of biostatistics and statistical software requir ed. \; X-ALT-DESC;FMTTYPE=text/html:This training co urse will take place on-site at UMIT Tirol\, Austria\, from 19–23 May 20 25\, and offers 5 ECTS credits. It introduces key concepts and methods in causal inference\, with a strong focus on real-world applications in healt h technology assessment and policy. The five-day programme combines lectur es\, case discussions\, group work\, and hands-on computer sessions using Stata and R. Participants will explore various causal methods and treatmen t switching adjustment techniques through practical exercises\, supported by teaching assistants. The course is ideal for professionals in healthcar e\, regulatory agencies\, academia\, and industry\, with basic knowledge o f biostatistics and statistical software required.
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X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260616T082246Z END:VEVENT END:VCALENDAR