Demographic, clinical, and laboratory data of noncompaction patients. by Marcelo Dantas Tavares de Melo (11767071)

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Fitted estimates and significance levels of linear mixed models for seedling germination, survival and growth. by Laura García de Jalón (8939456)

All-variable XGBoost model on the ‘significant illness’ binary using the primary decision-maker dataset. by Richard Barrett-Jolley (739341)

Tokenisation and embedding procedure for the development of ordinal all-predictor-based models (APMs). by Shubhayu Bhattacharyay (11242977)

Supplementary Material for: Cardiac Troponin Is Elevated in Patients with Thyrotoxicosis and Decreases as Thyroid Function Improves and Brain Natriuretic Peptide Levels Decrease by Watanabe N. (4118812)

“…Multivariable regression analysis showed that significant predictors of the hsTnI value were age (β = 0.20, <i>p</i> = 0.01) and BNP (β = 0.43, <i>p</i> < 0.0001) (<i>R</i>² = 0.27, <i>F</i> = 26.0, <i>p</i> < 0.0001), and significant predictors of the BNP value were age (β = 0.23, <i>p</i> = 0.001), hemoglobin (β = −0.43, <i>p</i> < 0.0001), free T₄ (FT₄) (β = 0.23, <i>p</i> = 0.001), and hsTnI (β = 0.27, <i>p</i> < 0.0001) (<i>R</i>² = 0.49, <i>F</i> = 33.8, <i>p</i> < 0.0001). …”

All-variable XGBoost model on the <i>significant illness</i> binary using the all-owner dataset. by Richard Barrett-Jolley (739341)

“…This shows the increasing true positive and false positive rates, with decrease of the threshold probability for prediction of <i>significant illness</i>. …”

Association of knee OA AMVF patients with continuous variables. by Izzatul Nadiah Zolkiply (19681460)

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Association of categorical variables with AMVF status of knee OA patients (n = 76). by Izzatul Nadiah Zolkiply (19681460)

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Multivariable logistic regression analysis on the variables associated with AMVF in knee OA patients (n = 76). by Izzatul Nadiah Zolkiply (19681460)

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Clinico-demographic characteristics of knee OA patients (n = 76). by Izzatul Nadiah Zolkiply (19681460)

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Effects of experimental treatments on several predictors of CO₂ and N₂O fluxes measured at the end of the experiment. by Pierre Ganault (17972799)

Importance of the predictor variables for estimating AGB using a random forest model. by Kasip Tiwari (22232186)

The dose-response relationship between dietary phosphorus intake and PN. by Chunli Wu (3944948)

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S1 Data - by Chunli Wu (3944948)

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Relationship between dietary phosphorus intake and peripheral neuropathy. by Chunli Wu (3944948)

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Threshold effect analysis. by Chunli Wu (3944948)

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Population characteristics stratified by PN. by Chunli Wu (3944948)

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Population characteristics stratified by dietary phosphorus intake. by Chunli Wu (3944948)

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Reduced (owner-animal metadata) XGBoost model on the <i>significant illness</i> binary using the all-owner dataset. by Richard Barrett-Jolley (739341)

“…This shows the increasing true positive and false positive rates, with decrease of the threshold probability for prediction of <i>significant illness</i>. …”

Occupational injuries among study participants. by Felix Agyemang Opoku (18272156)

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