Show simple item record

FieldValueLanguage
dc.contributor.authorSeidler, Anna Lene Dora
dc.date.accessioned2021-02-23T01:12:04Z
dc.date.available2021-02-23T01:12:04Z
dc.date.issued2021en_AU
dc.identifier.urihttps://hdl.handle.net/2123/24554
dc.description.abstractSystematic reviews and meta-analyses are widely used to inform guidelines, policy, and practice. Yet, there are several limitations associated with traditional systematic reviews. Potential sources of bias, such as publication bias and selective outcome reporting, can produce misleading results, and when individual studies collect different outcomes or use different measures to assess the same outcomes, this can make them difficult and sometimes impossible to synthesise. Traditional aggregate data meta-analyses give estimates about average effects, but provide limited reliable information on whether intervention effects vary across different populations, or whether differences between intervention characteristics may lead to differential effects. This is particularly problematic in an era that is steering away from a one-size-fits-all approach and toward precision medicine. In addition, traditional meta-analyses only include head-to-head comparisons of two interventions at a time when in reality, there are often more than two options that practitioners need to choose between. To explore these limitations and propose solutions, this thesis presents a series of nine manuscripts.en_AU
dc.language.isoenen_AU
dc.titleNext generation systematic review methodologyen_AU
dc.typeThesis
dc.type.thesisDoctor of Philosophyen_AU
dc.rights.otherThe author retains copyright of this thesis. It may only be used for the purposes of research and study. It must not be used for any other purposes and may not be transmitted or shared with others without prior permission.en_AU
usyd.facultySeS faculties schools::Faculty of Medicine and Health::NHMRC Clinical Trials Centreen_AU
usyd.degreeDoctor of Philosophy Ph.D.en_AU
usyd.awardinginstThe University of Sydneyen_AU
usyd.advisorASKIE, LISA


Show simple item record

Associated file/s

Associated collections

Show simple item record

There are no previous versions of the item available.