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Supplement Table 4. Multivariable logistic regression for LSM-measured fibrosis grade progression by SLD subgroup (MASLD+MetALD) (p<0.1 vars in univariable analyses only)
By alaksana
Plot
By Saidawaleh
Said updated
Supplement Table 3. Multivariable logistic regression for LSM-measured fibrosis grade progression by SLD subgroup (MASLD+MetALD) (p<0.1 vars in univariable analyses only)
By alaksana
Supplement Table 3. Univariable logistic regression for LSM-measured fibrosis grade progression by SLD subgroup (MASLD+MetALD)
By alaksana
Supplement Table 3. Univariable logistic regression for LSM-measured fibrosis grade progression by SLD subgroup (MASLD+MetALD)
By alaksana
Supplement Table 2. Multivariable logistic regression for LSM-measured fibrosis grade progression by SLD subgroup (SLD_group2)
By alaksana
Supplement Table 1. Univariable logistic regression for LSM-measured fibrosis grade progression by SLD subgroup (SLD_group2)
By alaksana
Table 3?. Multivariable Logistic Regression for LSM-measured Fibrosis Progression
By alaksana
(p<0.1 vars in univarable analyses)
Table 3?. Multivariable Logistic Regression for LSM-measured Fibrosis Progression
By alaksana
(p<0.1 vars in univarable analyses)
Severe weather events in the USA and their consequences
By slow_learner
This is Course Project 2 of the Reproducible Research course. Refer the document itself for further details.
Table 3?. Multivariable Logistic Regression
By alaksana
Bootstrap pada Regresi dan Missing Value Nabila Dea A (Pertemuan 12)
By nabiladeaaz
Dokumen ini membahas penerapan metode bootstrap dalam konteks analisis regresi dan penanganan missing value. Bootstrap digunakan untuk mengestimasi ketidakpastian model regresi tanpa bergantung pada asumsi distribusi klasik. Praktikum mencakup tiga pendekatan: (1) bootstrap pada data lengkap, (2) bootstrap setelah imputasi rata-rata, dan (3) kombinasi multiple imputation dengan bootstrap menggunakan paket mice. Hasil ketiganya dibandingkan untuk mengevaluasi pengaruh missing value terhadap estimasi model.