Data Harmonization

How it works

Evidence quality

Highlighted claims

• The validation required standardizing and harmonizing data across multiple cohort studies with differing collection methods and measurement protocols. — Brazilian elimination of mother-to-child HIV transmission: lessons for large-scale global health systems
• Validating risk equations across multiple cohorts required standardizing data from studies with different collection methods, measurement protocols, and baseline characteristics. — Brazilian elimination of mother-to-child HIV transmission: lessons for large-scale global health systems
• Validating these equations required standardizing and harmonizing data across cohort studies with different data collection methods, measurement protocols, and baseline characteristics. — Brazilian elimination of mother-to-child HIV transmission: lessons for large-scale global health systems
• Combining multiple cohort studies required standardizing data across different collection methods, measurement protocols, and baseline characteristics. — Brazilian elimination of mother-to-child HIV transmission: lessons for large-scale global health systems
• The validation required standardizing and harmonizing data across multiple cohort studies with different data collection methods, measurement protocols, and baseline characteristics. — Brazilian elimination of mother-to-child HIV transmission: lessons for large-scale global health systems
• Validating the equations required standardizing and harmonizing data across multiple cohort studies with different data collection methods, measurement protocols, and baseline characteristics. — Brazilian elimination of mother-to-child HIV transmission: lessons for large-scale global health systems
• Validating the equations required standardizing and harmonizing data across multiple cohort studies with different collection methods, measurement protocols, and baseline characteristics. — Brazilian elimination of mother-to-child HIV transmission: lessons for large-scale global health systems
• Standardizing and harmonizing data across cohort studies with different data collection methods, measurement protocols, and baseline characteristics was a methodologically complex undertaking. — Brazilian elimination of mother-to-child HIV transmission: lessons for large-scale global health systems
• Validating risk equations across multiple cohort studies required standardizing and harmonizing data with different collection methods, measurement protocols, and baseline characteristics. — Brazilian elimination of mother-to-child HIV transmission: lessons for large-scale global health systems
• The validation required standardizing and harmonizing data across multiple cohort studies that used different data collection methods, measurement protocols, and baseline characteristics. — Brazilian elimination of mother-to-child HIV transmission: lessons for large-scale global health systems