Beyond the single study: function/location metanalysis in cognitive neuroimaging
References (39)
Bias in meta-analytic research
J Clin Epidemiol
(1992)- et al.
Publication bias in clinical research
Lancet
(1991) The practice of meta-analysis
J Clin Epidemiol
(1995)Statistical and theoretical considerations in meta-analysis
J Clin Epidemiol
(1995)Meta-analysis and endocrinology
Endocrinol Metab Clin North Am
(1997)- et al.
Meta-analysis: a method for synthesizing research
Clin Pharmacol Ther
(1995) - et al.
Reproducibility of PET activations studies: lessons from a multi-center European experiment
Neuroimage
(1996) - et al.
Functional volumes modelling
Hum Brain Mapp
(1997) Spatial normalization: origins, objectives, applications and alternatives
Hum Brain Mapp
(1995)- et al.
Spatial normalization
Hum Brain Mapp
(1995)
Automatic 3-D model-based neuroanatomical segmentation
Hum Brain Mapp
(1995)
Spatial registration and normalization of images
Hum Brain Mapp
(1995)
Report on certain enteric fever inoculation statistics
Br Med J
(1904)
Publication bias: the case for an international registry of clinical trials
J Clin Oncol
(1986)
A critical look at some population meta-analytic methods
Am J Epidemiol
(1994)
Critical reading of the meta-analysis of clinical trials
Therapie
(1995)
Meta-analysis: weighing the evidence
Stat Med
(1995)
Meta-analyses of randomized controlled trials
N Eng J Med
(1997)
Interpretation of data from multiple trials: a critical review
J Int Med
(1997)
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