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DTSTART;VALUE=DATE:20260618
SEQUENCE:0
TRANSP:OPAQUE
DTEND;VALUE=DATE:20260619
SUMMARY:Advanced Systematic Reviews and Meta-Analysis
CLASS:PUBLIC
DESCRIPTION:This 3-day virtual course introduces advanced methods for syste
 matic reviews and meta-analysis\, combining frequentist and Bayesian appro
 aches with hands-on computer exercises.It covers planning and conducting m
 eta-analyses\, network and diagnostic meta-analysis\, heterogeneity assess
 ment\, and applications in HTA and clinical decision making.The program in
 cludes expert-led lectures\, practical tutorials\, and comprehensive cours
 e materials with certification upon completion.Target Audience:attendees w
 ith a basic knowledge of introductory statistics and prior exposure to sta
 tistical software​suitable for anyone with an interest in flexible appro
 aches to data visualization and data analysisscientists\, health care prof
 essionals\, consultancy organizations and a wide range of industriesPhD\, 
 medical and master students
X-ALT-DESC;FMTTYPE=text/html:<!doctype html><html><body><p>This 3-day virtu
 al course introduces advanced methods for systematic reviews and meta-anal
 ysis\, combining frequentist and Bayesian approaches with hands-on compute
 r exercises.<br>It covers planning and conducting meta-analyses\, network 
 and diagnostic meta-analysis\, heterogeneity assessment\, and applications
  in HTA and clinical decision making.<br>The program includes expert-led l
 ectures\, practical tutorials\, and comprehensive course materials with ce
 rtification upon completion.</p><p>Target Audience:</p><ul><li>attendees w
 ith a basic knowledge of introductory statistics and prior exposure to sta
 tistical software</li><li>​suitable for anyone with an interest in flexi
 ble approaches to data visualization and data analysis</li><li>scientists\
 , health care professionals\, consultancy organizations and a wide range o
 f industries</li><li>PhD\, medical and master students</li></ul></body></h
 tml>
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DTSTAMP:20260504T032000Z
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UID:69f81060e6f35
DTSTART;VALUE=DATE:20260619
SEQUENCE:0
TRANSP:OPAQUE
DTEND;VALUE=DATE:20260620
SUMMARY:Advanced Systematic Reviews and Meta-Analysis
CLASS:PUBLIC
DESCRIPTION:This 3-day virtual course introduces advanced methods for syste
 matic reviews and meta-analysis\, combining frequentist and Bayesian appro
 aches with hands-on computer exercises.It covers planning and conducting m
 eta-analyses\, network and diagnostic meta-analysis\, heterogeneity assess
 ment\, and applications in HTA and clinical decision making.The program in
 cludes expert-led lectures\, practical tutorials\, and comprehensive cours
 e materials with certification upon completion.Target Audience:attendees w
 ith a basic knowledge of introductory statistics and prior exposure to sta
 tistical software​suitable for anyone with an interest in flexible appro
 aches to data visualization and data analysisscientists\, health care prof
 essionals\, consultancy organizations and a wide range of industriesPhD\, 
 medical and master students
X-ALT-DESC;FMTTYPE=text/html:<!doctype html><html><body><p>This 3-day virtu
 al course introduces advanced methods for systematic reviews and meta-anal
 ysis\, combining frequentist and Bayesian approaches with hands-on compute
 r exercises.<br>It covers planning and conducting meta-analyses\, network 
 and diagnostic meta-analysis\, heterogeneity assessment\, and applications
  in HTA and clinical decision making.<br>The program includes expert-led l
 ectures\, practical tutorials\, and comprehensive course materials with ce
 rtification upon completion.</p><p>Target Audience:</p><ul><li>attendees w
 ith a basic knowledge of introductory statistics and prior exposure to sta
 tistical software</li><li>​suitable for anyone with an interest in flexi
 ble approaches to data visualization and data analysis</li><li>scientists\
 , health care professionals\, consultancy organizations and a wide range o
 f industries</li><li>PhD\, medical and master students</li></ul></body></h
 tml>
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DTSTAMP:20260504T032000Z
END:VEVENT
BEGIN:VEVENT
UID:69f81060e6f46
DTSTART;VALUE=DATE:20260620
SEQUENCE:0
TRANSP:OPAQUE
DTEND;VALUE=DATE:20260621
SUMMARY:Advanced Systematic Reviews and Meta-Analysis
CLASS:PUBLIC
DESCRIPTION:This 3-day virtual course introduces advanced methods for syste
 matic reviews and meta-analysis\, combining frequentist and Bayesian appro
 aches with hands-on computer exercises.It covers planning and conducting m
 eta-analyses\, network and diagnostic meta-analysis\, heterogeneity assess
 ment\, and applications in HTA and clinical decision making.The program in
 cludes expert-led lectures\, practical tutorials\, and comprehensive cours
 e materials with certification upon completion.Target Audience:attendees w
 ith a basic knowledge of introductory statistics and prior exposure to sta
 tistical software​suitable for anyone with an interest in flexible appro
 aches to data visualization and data analysisscientists\, health care prof
 essionals\, consultancy organizations and a wide range of industriesPhD\, 
 medical and master students
X-ALT-DESC;FMTTYPE=text/html:<!doctype html><html><body><p>This 3-day virtu
 al course introduces advanced methods for systematic reviews and meta-anal
 ysis\, combining frequentist and Bayesian approaches with hands-on compute
 r exercises.<br>It covers planning and conducting meta-analyses\, network 
 and diagnostic meta-analysis\, heterogeneity assessment\, and applications
  in HTA and clinical decision making.<br>The program includes expert-led l
 ectures\, practical tutorials\, and comprehensive course materials with ce
 rtification upon completion.</p><p>Target Audience:</p><ul><li>attendees w
 ith a basic knowledge of introductory statistics and prior exposure to sta
 tistical software</li><li>​suitable for anyone with an interest in flexi
 ble approaches to data visualization and data analysis</li><li>scientists\
 , health care professionals\, consultancy organizations and a wide range o
 f industries</li><li>PhD\, medical and master students</li></ul></body></h
 tml>
X-MICROSOFT-CDO-ALLDAYEVENT:TRUE
DTSTAMP:20260504T032000Z
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