A1FD13A0-A2C7-4568-8CFF-76FEF97C3F05An investigation into the use of shrinkage methods to alleviate over-fitting of prognostic models for independent and clustered data with few eventsResearch GrantMR/J013692/1C008C651-F5B0-4859-A334-5F574AB6B57CMRCINCOME_ACTUAL3004458F25F630-77B8-4E7E-A46D-0FA8D233C370Review and evaluation of penalised regression methods for risk prediction in low-dimensional data with few events.Statistics in medicineb6365df7a557bdc44a76db0ed34503fePavlou M2016-01-01http://dx.doi.org/10.1002/sim.678226514699http://ukpmc.ac.uk/abstract/MED/265146990277-6715http://europepmc.org/abstract/MED/26514699357Journal Article/Review546096c7494da6.47583185