NeumannPJFangCHCohenJT. 30 years of pharmaceutical cost-utility analyses: growth, diversity and methodological improvement. Pharmacoeconomics. 2009;27(10):861–72.
4.
CamposNGCastlePESchiffmanMKimJJ. Policy implications of adjusting randomized trial data for economic evaluations: A demonstration from the ASCUS-LSIL triage study. Med Decis Making. 2012;32:400–427.
5.
WeinsteinMCO’BrienBHornbergerJ.; ISPOR Task Force on Good Research Practices–Modeling Studies. Principles of good practice for decision analytic modeling in health-care evaluation : report of the ISPOR Task Force on Good Research Practices–Modeling Studies. Value Health. 2003;6(1):9–17.
6.
PhilipsZGinnellyLSculpherM. Review of guidelines for good practice in decision-analytic modelling in health technology assessment. Health Technol Assess. 2004;8(36):iii–iv, ix–xi, 1–158.
7.
EggerMDavey SmithGAltmanD, eds. Systematic Reviews in Health Care: Meta-analysis in Context. London: BMJ Books; 2001.
8.
SuttonAJAbramsKR. Bayesian methods in meta-analysis and evidence synthesis. Stat Methods Med Res. 2001;10(4):277–303.
9.
DanaeiGLawesCMVander HoornSMurrayCJEzzatiM. Global and regional mortality from ischaemic heart disease and stroke attributable to higher-than-optimum blood glucose concentration: comparative risk assessment. Lancet. 2006;368(9548):1651–9.
10.
RosenbaumPRRubinDB. The central role of the propensity score in observational studies for causal effects. Biometrika. 1983;70(1):41–55.
11.
PearlJ. Causality: Models, Reasoning, and Inference. 2nd ed.New York: Cambridge University Press; 2009.
12.
EddyDM. The confidence profile method: a Bayesian method for assessing health technologies. Oper Res. 1989;37:210–28.
13.
RubinDB. Inference and missing data. Biometrika. 1976;63(3):581–92.
14.
EfronB. Missing data, imputation, and the bootstrap. J Am Stat Assoc. 1994;89:463–79.
15.
ManskiCF. Identification for Prediction and Decision. Cambridge: Harvard University Press; 2007.
16.
SimmondsMCHigginsJPStewartLATierneyJFClarkeMJThompsonSG. Meta-analysis of individual patient data from randomized trials: a review of methods used in practice. Clin Trials. 2005;2(3):209–17.