Fig. 3: Effect sizes and standard errors estimated from COLA-GLM versus pooled analysis from the international study quantifying patients’ risk of severe infections using influenza data from six data sources. | npj Digital Medicine

Fig. 3: Effect sizes and standard errors estimated from COLA-GLM versus pooled analysis from the international study quantifying patients’ risk of severe infections using influenza data from six data sources.

From: COLA-GLM: collaborative one-shot and lossless algorithms of generalized linear models for decentralized observational healthcare data

Fig. 3: Effect sizes and standard errors estimated from COLA-GLM versus pooled analysis from the international study quantifying patients’ risk of severe infections using influenza data from six data sources.

The x-axis shows the results from the pooled analysis (combining patient-level data from six data sources) and the y-axis shows the results for COLA-GLM. Each dot represents the estimated effect size or standard error for a specific covariate.

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