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:Dates: \;Session 1 - Monday 14th September 2026Session 2 - Tuesday 15th September 2026Session 3 - Monday 21st September 2026Session 4 - Tuesday 22nd September 2026Time: \;09:00 - 13:00 BSTLocation: \ ;Online via ZoomWho is this event intended for? \;Biostatisticians loo king for an introduction to propensity scoresWhat is the benefit of attend ing? \;Gain an understanding of both basic and more advanced topicsGai n hands on experience with practical exercises in ROverviewThe course will introduce the topic of propensity scores and the use of external data. Co vering the topics of matching and weighting as well as more advance topics of high dimension propensity scores\, multi-valued treatments\, double ro bustness and time-varying scenarios. There will be the opportunity to part icipate in some hands on practical exercises in R.Elizabeth Williamson is a Professor of Biostatistics and Health Data Science at the London School of Hygiene and Tropical Medicine. Her research focuses on improving statis tical methods for using electronic health record data for research. Elizab eth has a long-term interest in propensity scores\, beginning with her PhD in 2003-7 which explored issues around variance estimation\, moving on to handling missing data within propensity scores and\, more recently\, expl oring high-dimensional confounding within propensity score analysis. Cleme nce Leyrat is an Associate Professor in Medical Statistics at the London S chool of Hygiene and Tropical Medicine. Since completing her PhD in 2014 o n the use of propensity scores in cluster randomised trials\, most of her research has focused on causal inference methods for the analysis of obser vational studies\, including trial emulation. More recently\, she has been investigating the properties of propensity score weighting in longitudina l settings and in the presence of clustering by hospital.John Tazare is an Assistant Professor in Statistical Pharmacoepidemiology at the London Sch ool of Hygiene and Tropical Medicine. In 2021\, John completed a PhD surro unding the use of high-dimensional propensity scores in UK electronic heal th records. John&rsquo\;s current research areas include the use of time-c onditional propensity scores in prevalent new user designs and application s of causal inference methods (for example\, clone-censor weighting approa ches) for target trial emulation in non-randomised settings.CostEarly Bird PSI Members: \;£\;320 +VATPSI Members: \;£\;360 +VATEar ly Bird Non-PSI Members: \;£\;430 +VATNon-PSI Members: \;&pou nd\;470 +VAT*Please note: Non-Member rates include PSI membership until 31 Dec. 2026.RegistrationEarly Bird registration closes on Friday 28th Augus t.To register for this event\, please \;click here.AgendaSession 1Intr oduction to propensity scoresPropensity score methodsPractical exercise us ing RSession 2Estimating the propensity scorePropensity scores for multi-v alued treatmentsPractical exercise using RSession 3Handling missing dataHi gh dimensional propensity scoresPractical exercise using RSession 4Outcome regression and double robustnessTime-varying scenariosPractical exercise using RSpeaker details\n.table img {\n width: 150px\;\n height: 225px\;\ n object-fit: cover\;\n}\n\n\nSpeakerBiographyElizabeth Williamson\, Prof essor of Biostatistics and Health Data Science\, LSHTMElizabeth Williamson is a Professor of Biostatistics and Health Data Science at the London Sch ool of Hygiene and Tropical Medicine.\n Her research focuses on i mproving statistical methods for using electronic health record data for r esearch. Elizabeth has a long-term\n interest in propensity score s\, beginning with her PhD in 2003&ndash\;2007 which explored issues aroun d variance estimation\, moving on to handling\n missing data with in propensity scores and\, more recently\, exploring high-dimensional conf ounding within propensity score analysis.\n Clemence Leyrat\, Assoc iate Professor in Medical Statistics\, LSHTMClemence Leyrat is an Associat e Professor in Medical Statistics at the London School of Hygiene and Trop ical Medicine. Since completing\n her PhD in 2014 on the use of p ropensity scores in cluster randomised trials\, most of her research has f ocused on causal inference methods\n for the analysis of observat ional studies\, including trial emulation. More recently\, she has been in vestigating the properties of propensity\n score weighting in lon gitudinal settings and in the presence of clustering by hospital.\n John Tazare\, Assistant Professor in Medical Statistics\,LSHTM\n John Taz are is an Assistant Professor in Medical Statistics at the London School o f Hygiene and Tropical Medicine. In 2021\, John completed\n a PhD on the use of high-dimensional propensity scores in UK electronic health records. His current research areas include time-conditional\n pr opensity scores in prevalent new-user designs and applications of causal i nference methods for target trial emulation in non-randomised settings.\n DTEND:20260922T130000Z DTSTAMP:20260613T023446Z DTSTART:20260914T090000Z LOCATION: SEQUENCE:0 SUMMARY:PSI Training Course: Propensity Scores: Practical Application in No n-randomised Studies UID:RFCALITEM639169148862709672 X-ALT-DESC;FMTTYPE=text/html:

Dates: \;
Session 1 - Monday 14th September 2026
Session 2 - Tuesday 15th September 20 26
Session 3 - Monday 21st September 2026
Session 4 - Tuesday 22 nd September 2026
Time: \;09:00 - 13:00 BST
Location: \;Online via Zoom

Who is this event intended for? \;
Biostatisticians looking for an introduction to propensity scores


What is the b enefit of attending? \;

Gain an understanding of both basic and more advanced topics

Gain hands on experience with pr actical exercises in R

Overview

The course will introduce th e topic of propensity scores and the use of external data. Covering the to pics of matching and weighting as well as more advance topics of high dime nsion propensity scores\, multi-valued treatments\, double robustness and time-varying scenarios. There will be the opportunity to participate in so me hands on practical exercises in R.

Elizabeth Williamson is a Professor of Biostatistics and Health Data Science at the London School of Hygiene and Tropical Medicine. Her research focuses on improving statis tical methods for using electronic health record data for research. Elizab eth has a long-term interest in propensity scores\, beginning with her PhD in 2003-7 which explored issues around variance estimation\, moving on to handling missing data within propensity scores and\, more recently\, expl oring high-dimensional confounding within propensity score analysis.

Clemence Leyrat is an Associate Professor in Medical Statistics at the London School of Hygiene and Tropical Medicine. Since completing her PhD in 2014 on the use of propensity scores in cluster randomised trials\, most of her research has focused on causal inference methods for the anal ysis of observational studies\, including trial emulation. More recently\, she has been investigating the properties of propensity score weighting i n longitudinal settings and in the presence of clustering by hospital.

John Tazare is an Assistant Professor in Statistical Pharmacoepid emiology at the London School of Hygiene and Tropical Medicine. In 2021\, John completed a PhD surrounding the use of high-dimensional propensity sc ores in UK electronic health records. John&rsquo\;s current research areas include the use of time-conditional propensity scores in prevalent new us er designs and applications of causal inference methods (for example\, clo ne-censor weighting approaches) for target trial emulation in non-randomis ed settings.

Cost

Early Bird PSI Members: \;£\;320 +VAT
PSI Members: \;£\;360 +VAT

Early Bird Non-PSI Members: \;£ \;430 +VAT
Non-PSI Members: \;£\;470 +VAT*Please note: Non-Member rates include PSI membership until 31 Dec . 2026.

Registration

Early Bird registration closes on Friday 28th August.
To register for this event\, ple ase \;click h ere.

Agenda

Sess ion 1

Session 2

Session 3

Session 4

Speaker details

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