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**Early Bird PSI Members** \;= £\;320+VAT

\n~~Early Bird Non-Members \;= £\;430*+VAT~~

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*Please note: Early Bird prices expire at 17:00 on Friday 8th September.\n\n*

To b
ook your place\, please \;**click here<
/strong>.**

This course will introduce participan
ts to the key concepts and methods relevant for analysing clinical trials
when some data are missing. We will describe missing data assumptions and
Rubin&rsquo\;s framework for classifying them\, based on missing completel
y at random\, missing at random (MAR)\, and missing not at random\, and wh
at these imply when missingness is due to dropout or the occurrence of int
ercurrent events. We will describe the use of mixed models and multiple im
putation to handle missingness under MAR\, and finally discuss methods for
conducting missing data sensitivity analyses\, including reference based
imputation methods.

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\nThe course will cover:

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- Introduction to estim ands and missing data in trials\; review of missing data assumptions &\ ; terminology (e.g. missing at random) \n
- Performing analyses u nder missing at random for continuous outcome data\, using mixed models an d multiple imputation (including consideration of retrieved dropout multip le imputation) \n
- Performing analyses under missing at random f or binary data\, using full conditional specification for multiple imputat ion with a GEE analysis model \n
- Sensitivity analyses using mul tiple imputation\, including reference based imputation methods \n

**Please note**: Each of the above will be presented in a one hour lecture\, fo
llowed by a two hour interactive computer practical. \;Computer practi
cals will be taught using R and so **having R or R Studio installed on your personal laptop/compute
r is required** to participate in the practicals.

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| \n Jonathan Bartlett is a Professor in Medical Statistics at the London School of Hygiene & \; Tropical Medicine. \nHis research interests are focu sed around missing data and causal inference methods\, and more recently\, how these can be applied to target different estimands in clinical trials . He has held previous positions at AstraZeneca and the University of Bath \, and maintains a blog thestatsgeek.com \n |

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James Carpenter is Professor of Medical Statistics at the London Sc hool of Hygiene &\; Tropical Medicine\, and MRC Investigator in trials methodology at the MRC CTU at UCL. \nHis principal resea rch interests are coping with missing data in clinical trials and complex hierarchical models\, estimands\, sensitivity analysis\, meta-analysis and novel trial designs. \n |

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