Predicting long term outcomes following mild traumatic brain injury: Investigating sub-classification systems and individual factors
0 sources
Predicting long term outcomes following mild traumatic brain injury: Investigating sub-classification systems and individual factors
Summary
Predicting long term outcomes following mild traumatic brain injury: Investigating sub-classification systems and individual factors is a doctoral thesis[1].
Key Facts
- Predicting long term outcomes following mild traumatic brain injury: Investigating sub-classification systems and individual factors authored Investigating sub-classification systems and individual factors — author (P50): Andrea Greenwood[2].
- Predicting long term outcomes following mild traumatic brain injury: Investigating sub-classification systems and individual factors's instance of is recorded as Investigating sub-classification systems and individual factors — instance of (P31): doctoral thesis[3].
- Predicting long term outcomes following mild traumatic brain injury: Investigating sub-classification systems and individual factors's publisher is recorded as Investigating sub-classification systems and individual factors — publisher (P123): ResearchSpace@Auckland[4].
- Predicting long term outcomes following mild traumatic brain injury: Investigating sub-classification systems and individual factors's country of origin is recorded as Investigating sub-classification systems and individual factors — country of origin (P495): New Zealand[5].
- Predicting long term outcomes following mild traumatic brain injury: Investigating sub-classification systems and individual factors's publication date is recorded as +2017-00-00T00:00:00Z[6].
- Predicting long term outcomes following mild traumatic brain injury: Investigating sub-classification systems and individual factors's main subject is recorded as Investigating sub-classification systems and individual factors — main subject (P921): clinical psychology[7].
- Predicting long term outcomes following mild traumatic brain injury: Investigating sub-classification systems and individual factors's work available at URL is recorded as https://researchspace.auckland.ac.nz/handle/2292/34166[8].
- Predicting long term outcomes following mild traumatic brain injury: Investigating sub-classification systems and individual factors's Handle ID is recorded as 2292/34166[9].
- Predicting long term outcomes following mild traumatic brain injury: Investigating sub-classification systems and individual factors's title is recorded as Predicting long term outcomes following mild traumatic brain injury: Investigating sub-classification systems and individual factors[10].
- Predicting long term outcomes following mild traumatic brain injury: Investigating sub-classification systems and individual factors's copyright holder is recorded as Investigating sub-classification systems and individual factors — copyright holder (P3931): Andrea Greenwood[11].
- Predicting long term outcomes following mild traumatic brain injury: Investigating sub-classification systems and individual factors's thesis submitted to is recorded as Investigating sub-classification systems and individual factors — thesis submitted to (P4101): University of Auckland[12].
- Predicting long term outcomes following mild traumatic brain injury: Investigating sub-classification systems and individual factors's on focus list of Wikimedia project is recorded as Investigating sub-classification systems and individual factors — on focus list of Wikimedia project (P5008): NZThesisProject[13].
- Predicting long term outcomes following mild traumatic brain injury: Investigating sub-classification systems and individual factors's copyright status is recorded as Investigating sub-classification systems and individual factors — copyright status (P6216): copyrighted[14].
- Predicting long term outcomes following mild traumatic brain injury: Investigating sub-classification systems and individual factors's online access status is recorded as Investigating sub-classification systems and individual factors — online access status (P6954): open access[15].
- Predicting long term outcomes following mild traumatic brain injury: Investigating sub-classification systems and individual factors's thesis committee member is recorded as Investigating sub-classification systems and individual factors — thesis committee member (P9161): Suzanne Barker-Collo[16].
- Predicting long term outcomes following mild traumatic brain injury: Investigating sub-classification systems and individual factors's thesis committee member is recorded as Investigating sub-classification systems and individual factors — thesis committee member (P9161): Alice Theadom[17].
Body
Designation and Status
Predicting long term outcomes following mild traumatic brain injury: Investigating sub-classification systems and individual factors's instance of is recorded as Investigating sub-classification systems and individual factors — instance of (P31): doctoral thesis[3].