BEGIN:VCALENDAR VERSION:2.0 METHOD:PUBLISH PRODID:-//Telerik Inc.//Sitefinity CMS 15.4//EN BEGIN:VTIMEZONE TZID:UTC BEGIN:STANDARD DTSTART;VALUE=DATE:20250101 TZNAME:UTC TZOFFSETFROM:+0000 TZOFFSETTO:+0000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DESCRIPTION:Date: \;Monday 4th\, Wednesday 6th &\; Friday 8th July 2 022\nTime: \;4th \;09:30-12:00\, \;6th&\;8th \;10:00-12 :00 BST\nLocation: This course will take place online.\nPresenter: \;A ndy Grieve \;(UCB)\n\nWho is this event intended for? \;Statistici ans working on the design of clinical trials.\nWhat is the benefit of atte nding? \;Participants will learn how to use Expected Power\, Average P ower\, Predicted Power\, Probability of Success and Assurance\, and Bayesi an Power when planning clinical trials.\nCourse Cost\nEarly Bird Members&n bsp\;= £\;250+VAT\nEarly Bird Non-Members \;= £\;375*+VAT\n\ nRegular \;Members \;= £\;290+VAT\nRegular \;Non-Members& nbsp\;= £\;415*+VAT\n*Please note: \;Non-Member rates include PSI membership until 31 Dec. 2022.\n\nRegistration\nDue to the popularity of this Training Course\, \;we are delighted to announce that we have add ed a further 20 places to access the \;recorded sessions only\, \; for a period of one month. \;Delegates who purchase these tickets will  \;not \;be able to participate in the live sessions* with our pre senter\, but will receive a link to view the recorded sessions later on th at same day.\n\n*Due to a lack of access to the live sessions\, the record ing-only tickets are offered at a reduced price to reflect this:\nMember R ECORDED SESSIONS ONLY = £\;200+VAT\nNon-Member RECORDED SESSIONS ONLY = £\;325+VAT\nTo secure your access to this Course\, please click he re to register.\n\nOverview\nFor the most part the planning of clinical tr ials is based on considerations of the power of a test of a given alternat ive hypothesis based on ideas introduced by Neyman and Pearson in 1933. As early as 1939\, Jeffreys pointed out that if the true value was unknown\, so was the power. Jeffreys suggested that to understand the true power of a study the conditional power values should be averaged with respect to t heir prior probabilities\, an unconditional power. This idea was taken up in the 1980&rsquo\;s by Spiegelhalter and colleagues and in the early 2000 s by O&rsquo\;Hagan and Stevens who introduced the concept of assurance.&n bsp\; All of this work uses unconditional as opposed to conditional probab ilities. \;\n\nThe course is based on a book with the same title in th e Chapman Hall/CRC Biostatistics Series to appear in May 2022. All partici pants for this course will receive a copy of the book.\n\nTopics covered i nclude:\n&bull\; Expected Power\, Average Power (AP)\, Predicted Power\, P robability of Success and Assurance for a Simple Normal Model with Known V ariance\n \; \; \; \;Bounds on AP and Assurance\n \; & nbsp\; Sample Size for a Given AP/Assurance and Normalized Assurance.  \;\n \;  \; Applying Assurance to a Series of Studies\n \; &nb sp\; Assurance for a Clinical Trial with a Single Interim Analysis\n \ ;  \; Non-Inferiority Trials\n\n&bull\; AP in Non-Normal Settings &nda sh\; Unknown variance\, Binary Data\, Survival Analysis\n\n&bull\; Bayesia n Power (BP)\n \;  \; Bounds on BP \;\n \;  \; Sample Size for a Given BP/Normalized BP \; \;\n \;  \; Posterior Conditional Success Distributions\n \;  \; Prior Distributions fo r Power and sample Size\n\n&bull\; Interim Predictions and Links to AP\n\n &bull\; AP with Multiple Decision Criteria &ndash\; Normal Model with Know n Variance\n \;  \; Bounds on AP and Assurance\n \;  \; Ge neralized Assurance\n \;  \; Bayesian Approach to Multiple Decisio n Criteria.\n \;  \; Posterior Conditional GO/NOGO/Pause/Distribut ions\n\n&bull\; Surety and Assurance in Estimation\n \;  \; An Alt ernative to Power in sample Size Determination\n \;  \; Unconditio nal Sample Sizing Based on CI width\nDates &\; Times\nSession 1:- \ ;Monday 4th July | 09:30-12:00\nSession 2:- \;Wednesday 6th July | 10: 00-12:00\nSession 3:- \;Friday 8th July | 10:00-12:00\n\n\n\nDisclaime r\nPSI is a non-profit organisation run by volunteers. Many of the event o rganisers and presenters donate their time\, while the majority of the eve nt registration cost is spent on administrative support\, venue rental / o nline conferencing\, travel costs for the presenter\, software licences\, and general running of the society. PSI strives to offer high quality cour ses\, but cannot offer a guarantee that the content presented is accurate or fit for your particular needs. Please check if any software is required for this course and ensure you are able to run it prior to registering.\n \nCancellation and Moderation Terms\nFor cancellations received up to two weeks prior to a PSI event start-date\, the event registration fee will be refunded less 25% administrative charge. After this date\, no refunds wil l be possible. A handling fee of 20 GBP per registration will be charged f or every registration modification received two weeks prior or less\, incl uding a delegate name change. DTEND:20220708T110000Z DTSTAMP:20260418T190918Z DTSTART:20220704T083000Z LOCATION: SEQUENCE:0 SUMMARY:PSI Training Course: Hybrid Frequentist / Bayesian Power and Bayesi an Power in Planning Clinical Trials UID:RFCALITEM639121361585051214 X-ALT-DESC;FMTTYPE=text/html:Date: \;Monday 4th\, Wedn esday 6th &\; Friday 8th July 2022
\nTime: \; 4th&nbs p\;09:30-12:00\, \; 6th&\;8th \;10:00-12:00 BST
\nLocation : This course will take place online.
\nPresenter: \;Andy Grieve \;(UCB)
\n
\nWho is this event intended for? \;Statisticians working on the de sign of clinical trials.
\nWhat is the benefit of attending? \;Participants will learn how to use Expected Power\, Average Power\, Predicted Power\, Probability of Success and Assurance\, and Baye sian Power when planning clinical trials.
\n

Course Cost

\n

Early Bird Members \;= £\;250+VAT
\nEarly Bird Non-Members \;= £\;375*+VAT
\n
\n< strong>Regular \;Members \;= £\;290+VAT
\nRegular \;Non-Members \;= £\;415*+VAT
\n*Please note: \;Non-Member rates include PSI membership until 31 Dec. 2022.
\n

\n

Registration

\nDue to the popularity of th is Training Course\, \;we are delighted to announce that we have added a further 20 places to access the& nbsp\;< span style="color: #ff0000\;">recorded sessions only\, \;for a period of one month. \;Delegates who purchase these ti ckets will \;not&nbs p\;be able to participate in the live sessions* with our presenter\, but w ill receive a link to view the recorded sessions later on that same day.\n
\n*Due to a lack of access to the live sessions\, the recordin g-only tickets are offered at a reduced price to reflect this:
\nMember RECORDED SESSIONS ONLY = £\;200+VAT
\nNon-Member RECORDED SESSIONS ONLY = £\;325+VAT
\nTo s ecure your access to this Course\, please click here to register.
\n
\n

Over view

\n

For the most part the planning of clinical trials is based o n considerations of the power of a test of a given alternative hypothesis based on ideas introduced by Neyman and Pearson in 1933. As early as 1939\ , Jeffreys pointed out that if the true value was unknown\, so was the pow er. Jeffreys suggested that to understand the true power of a study the co nditional power values should be averaged with respect to their prior prob abilities\, an unconditional power. This idea was taken up in the 1980&rsq uo\;s by Spiegelhalter and colleagues and in the early 2000s by O&rsquo\;H agan and Stevens who introduced the concept of assurance. \; All of th is work uses unconditional as opposed to conditional probabilities. \;
\n
\nThe course is based on a book with the same title in the C hapman Hall/CRC Biostatistics Series to appear in May 2022. All participan ts for this course will receive a copy of the book.
\n
\nTopics covered include:
\n&bull\; Expected Power\, Average Power (AP)\, Predicted P ower\, Probability of Success and Assurance for a Simple Normal Model with Known Variance
\n \; \; \; \;Bounds on AP and Assura nce
\n \;  \; Sample Size for a Given AP/Assurance and Normal ized Assurance. \;
\n \;  \; Applying Assurance to a Seri es of Studies
\n \;  \; Assurance for a Clinical Trial with a Single Interim Analysis
\n \;  \; Non-Inferiority Trials
\n
\n&bull\; AP in Non-Normal Settings &ndash\; Unknown variance\, Binary Data\, Survival Analysis
\n
\n&bull\; Bayesian Power (BP)
\n \;  \; Bounds on BP \;
\n \;  \; Sample Size for a Given BP/Normalized BP \; \;
\n \;  \; Pos terior Conditional Success Distributions
\n \;  \; Prior Dist ributions for Power and sample Size
\n
\n&bull\; Interim Predict ions and Links to AP
\n
\n&bull\; AP with Multiple Decision Crit eria &ndash\; Normal Model with Known Variance
\n \;  \; Boun ds on AP and Assurance
\n \;  \; Generalized Assurance
\ n \;  \; Bayesian Approach to Multiple Decision Criteria.
\n& nbsp\;  \; Posterior Conditional GO/NOGO/Pause/Distributions
\n\n&bull\; Surety and Assurance in Estimation
\n \;  \; An Alternative to Power in sample Size Determination
\n \;  \; Unconditional Sample Sizing Based on CI width

\n

Dates &\; Times< /h4>\n

Session 1:- \;Monday 4th July | 09:30-12:00< br />\nSession 2:- \;Wednesday 6th July | 10:00-12:00
\nSession 3:- \;Friday 8th July | 10:00-12:00\n
\n

\n

\nDisclaime r
\nPSI is a non-profit organisation run by volunteers. Many of the e vent organisers and presenters donate their time\, while the majority of t he event registration cost is spent on administrative support\, venue rent al / online conferencing\, travel costs for the presenter\, software licen ces\, and general running of the society. PSI strives to offer high qualit y courses\, but cannot offer a guarantee that the content presented is acc urate or fit for your particular needs. Please check if any software is re quired for this course and ensure you are able to run it prior to register ing.
\n
\nCancellation and Moderation Terms
\nFor cance llations received up to two weeks prior to a PSI event start-date\, the ev ent registration fee will be refunded less 25% administrative charge. Afte r this date\, no refunds will be possible. A handling fee of 20 GBP per re gistration will be charged for every registration modification received tw o weeks prior or less\, including a delegate name change.

END:VEVENT END:VCALENDAR