BEGIN:VCALENDAR VERSION:2.0 PRODID:www.eu-parc.eu BEGIN:VEVENT UID:6a1c166fe39c2 DTSTART;VALUE=DATE:20240318 SEQUENCE:0 TRANSP:OPAQUE DTEND;VALUE=DATE:20240319 SUMMARY:Causal Inference for Assessing Effectiveness in Real World Data and Clinical Trials: A Practical Hands-on Workshop CLASS:PUBLIC DESCRIPTION:The online course on Causal Inference for Assessing Effectivene ss in Real World Data and Clinical Trials was held from 18 to 22 March 202 4 as a five-day certified university course. Using real-world case example s from different health technologies and disease areas\, participants expl ored theoretical foundations as well as practical applications of causal i nference. The course also included software-based exercises in Stata and R .Target audienceThe course was designed for professionals from healthcare and health policy organisations\, national HTA and regulatory agencies\, t he pharmaceutical and medical device industry\, academia and research inst itutions\, health insurances and sickness funds\, and consultancy organisa tions. It required basic knowledge of biostatistics and familiarity with S tata and R\, or a willingness to learn. X-ALT-DESC;FMTTYPE=text/html:

The online course on Causal Inference for Assessing Effectiveness in Real World Data and Clinical Trials was held from 18 to 22 March 2024 as a five-day cert ified university course. Using real-world case examples from different hea lth technologies and disease areas\, participants explored theoretical fou ndations as well as practical applications of causal inference. The course also included software-based exercises in Stata and R.

Target audience
The course was designed for pr ofessionals from healthcare and health policy organisations\, national HTA and regulatory agencies\, the pharmaceutical and medical device industry\ , academia and research institutions\, health insurances and sickness fund s\, and consultancy organisations. It required basic knowledge of biostati stics and familiarity with Stata and R\, or a willingness to learn.

X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260531T110727Z END:VEVENT BEGIN:VEVENT UID:6a1c166fe3a32 DTSTART;VALUE=DATE:20240319 SEQUENCE:0 TRANSP:OPAQUE DTEND;VALUE=DATE:20240320 SUMMARY:Causal Inference for Assessing Effectiveness in Real World Data and Clinical Trials: A Practical Hands-on Workshop CLASS:PUBLIC DESCRIPTION:The online course on Causal Inference for Assessing Effectivene ss in Real World Data and Clinical Trials was held from 18 to 22 March 202 4 as a five-day certified university course. Using real-world case example s from different health technologies and disease areas\, participants expl ored theoretical foundations as well as practical applications of causal i nference. The course also included software-based exercises in Stata and R .Target audienceThe course was designed for professionals from healthcare and health policy organisations\, national HTA and regulatory agencies\, t he pharmaceutical and medical device industry\, academia and research inst itutions\, health insurances and sickness funds\, and consultancy organisa tions. It required basic knowledge of biostatistics and familiarity with S tata and R\, or a willingness to learn. X-ALT-DESC;FMTTYPE=text/html:

The online course on Causal Inference for Assessing Effectiveness in Real World Data and Clinical Trials was held from 18 to 22 March 2024 as a five-day cert ified university course. Using real-world case examples from different hea lth technologies and disease areas\, participants explored theoretical fou ndations as well as practical applications of causal inference. The course also included software-based exercises in Stata and R.

Target audience
The course was designed for pr ofessionals from healthcare and health policy organisations\, national HTA and regulatory agencies\, the pharmaceutical and medical device industry\ , academia and research institutions\, health insurances and sickness fund s\, and consultancy organisations. It required basic knowledge of biostati stics and familiarity with Stata and R\, or a willingness to learn.

X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260531T110727Z END:VEVENT BEGIN:VEVENT UID:6a1c166fe3a44 DTSTART;VALUE=DATE:20240320 SEQUENCE:0 TRANSP:OPAQUE DTEND;VALUE=DATE:20240321 SUMMARY:Causal Inference for Assessing Effectiveness in Real World Data and Clinical Trials: A Practical Hands-on Workshop CLASS:PUBLIC DESCRIPTION:The online course on Causal Inference for Assessing Effectivene ss in Real World Data and Clinical Trials was held from 18 to 22 March 202 4 as a five-day certified university course. Using real-world case example s from different health technologies and disease areas\, participants expl ored theoretical foundations as well as practical applications of causal i nference. The course also included software-based exercises in Stata and R .Target audienceThe course was designed for professionals from healthcare and health policy organisations\, national HTA and regulatory agencies\, t he pharmaceutical and medical device industry\, academia and research inst itutions\, health insurances and sickness funds\, and consultancy organisa tions. It required basic knowledge of biostatistics and familiarity with S tata and R\, or a willingness to learn. X-ALT-DESC;FMTTYPE=text/html:

The online course on Causal Inference for Assessing Effectiveness in Real World Data and Clinical Trials was held from 18 to 22 March 2024 as a five-day cert ified university course. Using real-world case examples from different hea lth technologies and disease areas\, participants explored theoretical fou ndations as well as practical applications of causal inference. The course also included software-based exercises in Stata and R.

Target audience
The course was designed for pr ofessionals from healthcare and health policy organisations\, national HTA and regulatory agencies\, the pharmaceutical and medical device industry\ , academia and research institutions\, health insurances and sickness fund s\, and consultancy organisations. It required basic knowledge of biostati stics and familiarity with Stata and R\, or a willingness to learn.

X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260531T110727Z END:VEVENT BEGIN:VEVENT UID:6a1c166fe3a53 DTSTART;VALUE=DATE:20240321 SEQUENCE:0 TRANSP:OPAQUE DTEND;VALUE=DATE:20240322 SUMMARY:Causal Inference for Assessing Effectiveness in Real World Data and Clinical Trials: A Practical Hands-on Workshop CLASS:PUBLIC DESCRIPTION:The online course on Causal Inference for Assessing Effectivene ss in Real World Data and Clinical Trials was held from 18 to 22 March 202 4 as a five-day certified university course. Using real-world case example s from different health technologies and disease areas\, participants expl ored theoretical foundations as well as practical applications of causal i nference. The course also included software-based exercises in Stata and R .Target audienceThe course was designed for professionals from healthcare and health policy organisations\, national HTA and regulatory agencies\, t he pharmaceutical and medical device industry\, academia and research inst itutions\, health insurances and sickness funds\, and consultancy organisa tions. It required basic knowledge of biostatistics and familiarity with S tata and R\, or a willingness to learn. X-ALT-DESC;FMTTYPE=text/html:

The online course on Causal Inference for Assessing Effectiveness in Real World Data and Clinical Trials was held from 18 to 22 March 2024 as a five-day cert ified university course. Using real-world case examples from different hea lth technologies and disease areas\, participants explored theoretical fou ndations as well as practical applications of causal inference. The course also included software-based exercises in Stata and R.

Target audience
The course was designed for pr ofessionals from healthcare and health policy organisations\, national HTA and regulatory agencies\, the pharmaceutical and medical device industry\ , academia and research institutions\, health insurances and sickness fund s\, and consultancy organisations. It required basic knowledge of biostati stics and familiarity with Stata and R\, or a willingness to learn.

X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260531T110727Z END:VEVENT BEGIN:VEVENT UID:6a1c166fe3a61 DTSTART;VALUE=DATE:20240322 SEQUENCE:0 TRANSP:OPAQUE DTEND;VALUE=DATE:20240323 SUMMARY:Causal Inference for Assessing Effectiveness in Real World Data and Clinical Trials: A Practical Hands-on Workshop CLASS:PUBLIC DESCRIPTION:The online course on Causal Inference for Assessing Effectivene ss in Real World Data and Clinical Trials was held from 18 to 22 March 202 4 as a five-day certified university course. Using real-world case example s from different health technologies and disease areas\, participants expl ored theoretical foundations as well as practical applications of causal i nference. The course also included software-based exercises in Stata and R .Target audienceThe course was designed for professionals from healthcare and health policy organisations\, national HTA and regulatory agencies\, t he pharmaceutical and medical device industry\, academia and research inst itutions\, health insurances and sickness funds\, and consultancy organisa tions. It required basic knowledge of biostatistics and familiarity with S tata and R\, or a willingness to learn. X-ALT-DESC;FMTTYPE=text/html:

The online course on Causal Inference for Assessing Effectiveness in Real World Data and Clinical Trials was held from 18 to 22 March 2024 as a five-day cert ified university course. Using real-world case examples from different hea lth technologies and disease areas\, participants explored theoretical fou ndations as well as practical applications of causal inference. The course also included software-based exercises in Stata and R.

Target audience
The course was designed for pr ofessionals from healthcare and health policy organisations\, national HTA and regulatory agencies\, the pharmaceutical and medical device industry\ , academia and research institutions\, health insurances and sickness fund s\, and consultancy organisations. It required basic knowledge of biostati stics and familiarity with Stata and R\, or a willingness to learn.

X-MICROSOFT-CDO-ALLDAYEVENT:TRUE DTSTAMP:20260531T110727Z END:VEVENT END:VCALENDAR