Results of multivariate models associating baseline participant characteristics with SARS-CoV-2 neutralizing antibody (nAb) ID50 titer among all participants at enrollment. Each predictor of interest was studied independently for its association with a positive nAb response (using Firth logistic regression) and with the nAb ID50 titer (using linear regression). Each regression model adjusts for the following adjustment factors selected based on prior literature: COVID-19 severity, age, sex at birth, African region, and days since SARS-CoV-2 acquisition diagnosis. (OR = Odds Ratio; GMR = Geometric Mean Ratio).
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https://figshare.com/articles/dataset/Results_of_multivariate_models_associating_baseline_participant_characteristics_with_SARS-CoV-2_neutralizing_antibody_nAb_ID50_titer_among_all_participants_at_enrollment_Each_predictor_of_interest_was_studied_independently_for_its_associati/30106685
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Results of multivariate models associating baseline participant characteristics with SARS-CoV-2 neutralizing antibody (nAb) ID50 titer among all participants at enrollment. Each predictor of interest was studied independently for its association with a positive nAb response (using Firth logistic regression) and with the nAb ID50 titer (using linear regression). Each regression model adjusts for the following adjustment factors selected based on prior literature: COVID-19 severity, age, sex at birth, African region, and days since SARS-CoV-2 acquisition diagnosis. (OR = Odds Ratio; GMR = Geometric Mean Ratio).
创建时间：
2025-09-11
