NCBI Bookshelf. A service of the National Library of Medicine, National Institutes of Health.
Observational evidence on the effectiveness of endovascular aneurysm repair compared with open surgical repair of unruptured abdominal aortic aneurysms: Abdominal aortic aneurysm: diagnosis and management: Evidence review K2. London: National Institute for Health and Care Excellence (NICE); 2020 Mar. (NICE Guideline, No. 156.)
- Faria, R., Hernandez Alava, M., Manca, A., Wailoo, A.J. NICE DSU Technical Support Document 17: The use of observational data to inform estimates of treatment effectiveness for Technology Appraisal: Methods for comparative individual patient data. 2015. Available from http://www
.nicedsu.org.uk - Guyot P, Ades AE, Ouwens MJ, Welton NJ. Enhanced secondary analysis of survival data: reconstructing the data from published Kaplan-Meier survival curves. BMC medical research methodology. 2012 Dec;12(1):9. [PMC free article: PMC3313891] [PubMed: 22297116]
- Little RJ, Rubin DB. Causal effects in clinical and epidemiological studies via potential outcomes: concepts and analytical approaches. Annual review of public health. 2000 May;21(1):121–45. [PubMed: 10884949]
- Luo D, Wan X, Liu J, Tong T. Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range. Statistical methods in medical research. 2018 Jun;27(6):1785–805. [PubMed: 27683581]
- Newgard CD, Hedges JR, Arthur M, Mullins RJ. Advanced statistics: the propensity score—a method for estimating treatment effect in observational research. Academic Emergency Medicine. 2004 Sep;11(9):953–61. [PubMed: 15347546]
- Sedgwick P. Meta-analyses: what is heterogeneity? BMJ. 2015 Mar 16;350:h1435. [PubMed: 25778910]
- Sterne JAC, Higgins JPT, Elbers RG, Reeves BC and the development group for ROBINS-I. Risk Of Bias In Non-randomized Studies of Interventions (ROBINS-I): detailed guidance, updated 12 October 2016. Available from http://www
.riskofbias.info [accessed September 2018] - Wan X, Wang W, Liu J, Tong T. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC medical research methodology. 2014 Dec;14(1):135. [PMC free article: PMC4383202] [PubMed: 25524443]