Hi I would like to match a group of treated patients with an untreated group. I have about a million patients in the treatment group and ten times that in the control group. Conventional matching methods and tools can't do this. I'm thinking of methods such as sparse matrix matching. I have seen packages that allow matching on larger databases such as bigmatch, rcbalance. But I didn't find enough documentation on how to implement them. If not can someone suggest me methods to manage one million processed vs 10 million control. I thought of making several strata based on sex and age then matched on comorbidity score and BMI as a solution. Is there a problem with this approach if it allows me to have a balance? Or will writing my own matching algorithm allow me to match this large number of patients.

Hi I would like to match a group of treated patients with an untreated group. I have about a million patients in the treatment group and ten times that in the control group. Conventional matching methods and tools can't do this. I'm thinking of methods such as sparse matrix matching. I have seen packages that allow matching on larger databases such as bigmatch, rcbalance. But I didn't find enough documentation on how to implement them. If not can someone suggest me methods to manage one million treated vs 10 million control. I thought of making several strata based on sex and age then matched on comorbidity score and BMI as a solution. Is there a problem with this approach if it allows me to have a balance? Or will writing my own matching algorithm allow me to match this large number of patients.