## Synthesis of Binary Machines - Association for …

### [1105.4514] Synthesis of Parallel Binary Machines

Moreover, combinations of molecules found in plant extracts perform as both reducing and stabilizing (capping) agents during nanoparticle synthesis [,,].

### Synthesis of Parallel Binary Machines - Semantic Scholar

**Example for IPD:**Â Individual data from all randomised participants will be included in the analyses, which will be performed on an intention to treat basis. A two-stage approach to synthesis will be used. For time to event outcomes, the individual times to event will be used in the stratified (by trial) logrank test to produce hazard ratio estimates of the effect of treatment for individual trials. These hazard ratios will then be combined across studies using a fixed effect model to give combined hazard ratios. For dichotomous outcomes, the number of events and the number of patients will be used to calculate Peto odds ratio estimates of treatment effect. These will be generated for individual trials and then combined across trials using a fixed effect model. For all outcomes, trial results will also be combined using a random effects model to test robustness to model choice.

**Example for IPD:**Â Individual data from all randomised participants will be included in the analyses, which will be performed on an intention to treat basis. A two-stage approach to synthesis will be used. For time to event outcomes, the individual times to event will be used in the stratified (by trial) logrank test to produce hazard ratio estimates of the effect of treatment for individual trials. These hazard ratios will then be combined across studies using a fixed effect model to give combined hazard ratios. For dichotomous outcomes, the number of events and the number of patients will be used to calculate Peto odds ratio estimates of treatment effect. These will be generated for individual trials and then combined across trials using a fixed effect model. For all outcomes, trial results will also be combined using a random effects model to test robustness to model choice.