ROC curves for logistic regression models for each outcome, using pre-specified predictor variable sets after variable reduction with penalised regression (Group 1: Demographic only; Group 2: Demographic plus clinical; Group 3: Demographic, clinical, spirometry; Group 4: Demographic, clinical, spirometry and CXR).
- Jamilah Meghji (568933)
- Vester Gunsaru (17771160)
- Beatrice Chinoko (17867177)
- Elizabeth Joekes (5863853)
- Ndaziona P. K. Banda (17867180)
- Nicola Marozva (17867183)
- Jamie Rylance (396383)
- Stephen B. Squire (17867186)
- Kevin Mortimer (2813857)
- Maia Lesosky (3529790)
Publication date
January 2024
DOIAbstract
ROC curves for logistic regression models for each outcome, using pre-specified predictor variable sets after variable reduction with penalised regression (Group 1: Demographic only; Group 2: Demographic plus clinical; Group 3: Demographic, clinical, spirometry; Group 4: Demographic, clinical, spirometry and CXR).</p
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