Assessing and Predicting Cutaneous Leiomyoma Severity in Hereditary Leiomyomatosis and Renal Cell Cancer Syndrome: An Observational Study
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https://data.mendeley.com/datasets/96y27zs4gw
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资源简介：
- Supplementary Methods and STROBE Statement
- Table S1. Number of CLs in Association with Age, Sex and GPV type. Negative Binomial Regression Model
- Table S2. CL-related Pain in Association with Age, Sex and GPV type. Ordinal Logistic Regression Model
- Table S3. CL-related Pain (0 vs >0) in Association with Body Location and Lesion Count. Binary Logistic Regression Model
- Table S4. CL-related DLQI (0 vs >0) in Association with Age, Sex, GPV type, Pain, and Lesion Count. Binary Logistic Regression Model
- Table S5. Post-hoc Power Analyses for Predictors with Significant Unadjusted P-values
创建时间：
2025-12-19
