

 1. mcforQ (mcforQ performs exact leftsided testing for Cochran's Q in a metaanalysis of binary data. Only the odds ratio has been implemented). For a Fortran implementation for testing leftsided significance in the risk ratio, see here.
Reference: Ioannidis, Trikalinos, and Zintzaras, J Clin Epidemiol 2006;59:102332.
 2. Software modules for test for excess of significant findings (The zip contains all necessary files. Stata 8 is supported. Users should save the files in the adopath. Binaries for a
necessary plugin are provided for the Mac (OSX, PPC) and for Windows. Source files for the platformspecific plugin are also provided for users of other platforms/architectures.)
Reference: Ioannidis and Trikalinos, Clinical Trials, 2007;4(3):24553.
 3. Function for metaanalysis of epidemiological studies: inflation of studyspecific confidence intervals according to a credibility ceiling. Script file for Splus/R. Needs the subroutine ci.plot to be download from http://citeseer.ist.psu.edu/29387.html.
 4. hetred module for STATA. Hetred reduces Isquared below a prespecified level. Plugin for Windows users is included. Mac and Linux users please contact author for source file.
 5. Simple Excel calculator of Bayes factor and credibility estimates for associations. For details see Ioannidis JP. Effect of formal statistical significance on the credibility of observational associations. American Journal of Epidemiology 2008 (in press) and for application to agnostic genomewide associations see Ioannidis JP. Calibration of credibility of agnostic genomewide associations. American Journal of Medical Genetics B: Neuropsychiatric Genetics 2008 (in press). Download
 6. PowerQ: STATA module
to perform power calculations for the Cochran Q test and calculate the posterior probabilities for heterogeneity in a given metaanalysis.
 7. R routine for graphical evaluation of incoherence in a network of randomized trials.
by Georgia Salanti
 8. Winbugs code used in the metaanalysis published in Am J Epi
'Underlying Genetic Models of Inheritance in Established Type 2
Diabetes Associations'. This is model to estimate metaanalytic
summary effects for genetic variants from casecontrol studies along
with a parameter reflecting the underlying genetic model. To obtain
the code click here.
 9.
Winbugs model and Data using in the analysis published in Journal of Clinical Epidemiology "Graphical methods and numerical summaries for presenting results from multipletreatments metaanalysis: an overview and tutorial' by Georgia Salanti.
 10.
Evaluating novel agent effects in multipletreatments metaregression. Exchangeable novel agent effects across networks <click here for WinBUGS code> to model jointly novelty effects in ovarian, colorectal and breast cancer treatment networks <click here for the data>.
 11.Stata module for estimating the
posterior probability of
heterogeneity based on Q test results (Pereira et al. Research Synthesis
Methods, in press)." (including help file)



