HSROC hierarchical model for DTA meta-analysis

Other than SAS are there any packages for implementing this model in statistical software? I was told since it is non-linear it cant be done in R or STATA.

What about the mada package for R? The package description says:

Next to basic analysis and visualization the bivariate Model of Reitsma et al. (2005) that is equivalent to the HSROC of Rutter & Gatsonis (2001) can be fitted.

Does this fit your needs?

Unfortunately that model is only valid when all studies use the same threshold for classification, mine do not. I was told if it is used combining studies with mixed thresholds the summary point estimate is meaningless.

Hi, We wrote an R package for this which has recently become available on CRAN again after a spell. You can find the manual as well at this link:

https://cran.r-project.org/web/packages/HSROC/index.html

The Cochrane handbook suggests using this model if the positivity threshold is not the same across studies. See example 2 here: https://methods.cochrane.org/sites/methods.cochrane.org.sdt/files/public/uploads/Chapter%2010%20-%20Version%201.0.pdf

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PS: We have also written WinBUGS and SAS programs for Bayesian estimation of the HSROC model:
https://www.nandinidendukuri.com/software/diagnostic-meta-analysis/hsroc-programs

Thank you very much. This is very useful information.

Can covariates be added to this model to evaluate causes of heterogeneity?

Yes, covariates can be added when using the WinBUGS or SAS programs.

The R package HSROC does not allow for adding covariates.