The phrase "addressing heterogeneity" is correct and usable in written English.
It can be used in contexts where you are discussing the need to deal with or consider differences or variations within a group or dataset.
Example: "In our research, addressing heterogeneity among participants is crucial for obtaining accurate results."
Alternatives: "tackling diversity" or "dealing with variability".
Better methods of characterizing and addressing heterogeneity in preferences and decision making are needed to stimulate reductions in household greenhouse gas emissions.
Addressing heterogeneity in reliability, we show that randomization in node selection strategies typically reduces failure rates---a property that permits better understanding of subtle properties of existing systems, as well as the design of new systems.
This is the simplest procedure for addressing heterogeneity among estimates.
The evolving sophistication of nanotherapy systems allows for addressing heterogeneity and biological diversity that are now known to exist within the most aggressive cancers.
Modelling infection as the amount of pathogens excreted, or elevation of one or more immune variables, or combinations of these, provides better opportunities for addressing heterogeneity within the host population and the pathogen population, and their segregation.
We did not consider other issues such as the choice of effect measure, appropriateness of combining high- and low-risk patients, the choice of a fixed vs. random effects model, or other methods for addressing heterogeneity.
The process connectors architecture incorporates two key approaches that address heterogeneity over varying time scales.
This paper reports on an architecture for distributed process integration named process connectors that addresses heterogeneity in a scalable manner.
We address heterogeneity by isolating device and protocol heterogeneity considerations into a single extensible architectural component, allowing most of the application logic to deal exclusively with Web-friendly protocols and formats.
Appropriate study designs can address heterogeneity through a priori data collection, and taking repeated measures can improve the power and efficiency of a study to detect clinically meaningful differences.
The lack of rational and scalable bioreactor designs backed by mathematical models and automated control system that could successfully address heterogeneity with respect to heat and mass, and also operate aseptically, remains the prime reason for it.
