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Results 11-20 of 76 (Search time: 0.005 seconds).
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PreviewIssue DateTitleAuthor(s)
2014BMI, health behaviors, and quality of life in children and adolescents: a school-based studyChen, G.; Ratcliffe, J.; Olds, T.; Magarey, A.; Jones, M.; Leslie, E.
2017Understanding what matters: An exploratory study to investigate the views of the general public for priority setting criteria in health careRatcliffe, J.; Lancsar, E.; Walker, R.; Gu, Y.
2016Mapping between 6 multiattribute utility instrumentsChen, G.; Khan, M.; Iezzi, A.; Ratcliffe, J.; Richardson, J.
2013What are frail older people prepared to endure to achieve improved mobility following hip fracture? a discrete choice experimentMilte, R.; Ratcliffe, J.; Miller, M.; Whitehead, C.; Cameron, I.; Crotty, M.
2014A think aloud study comparing the validity and acceptability of discrete choice and best worst scaling methodsWhitty, J.; Walker, R.; Golenko, X.; Ratcliffe, J.
2017An empirical comparison of the EQ-5D-5L, DEMQOL-U and DEMQOL-Proxy-U in a post-hospitalisation population of frail older people living in residential aged careRatcliffe, J.; Flint, T.; Easton, T.; Killington, M.; Cameron, I.; Davies, O.; Whitehead, C.; Kurrle, S.; Miller, M.; Liu, E.; Crotty, M.
2016Quality in residential care from the perspective of people living with dementia: The importance of personhoodMilte, R.; Shulver, W.; Killington, M.; Bradley, C.; Ratcliffe, J.; Crotty, M.
2017Practice change in chronic conditions care: an appraisal of theoriesHarris, M.; Lawn, S.; Morello, A.; Battersby, M.; Ratcliffe, J.; McEvoy, R.; Tieman, J.
2017Mapping CHU9D utility scores from the PedsQLâ„¢ 4.0 SF-15Mpundu-Kaambwa, C.; Chen, G.; Russo, R.; Stevens, K.; Petersen, K.; Ratcliffe, J.
2014Australian public preferences for the funding of new health technologies: a comparison of discrete choice and profile case best-worst scaling methodsWhitty, J.; Ratcliffe, J.; Chen, G.; Scuffham, P.