For field corn, conservation tillage increased in all but three states from 2016 to 2021. by Fengxia Dong (1504390)

For field corn, conservation tillage increased in all but one region between 2016 and 2021. by Fengxia Dong (1504390)

Predictors of monthly average total expenditure in participants diagnosed with asthma. by Stella T. Lartey (6190913)

Subjects:

5C domain predictors. by Marwa Shawky Abdou (11767760)

Predictors associated with overall survival. by Pantong M. Davwar (14725193)

Predictors of reporting by 12 months. by Nicholas Kendall (21376780)

Multilevel linear model with sex, age and hand as predictors, and 2D:4D as outcome. by Luisa Ernsten (14833164)

Multivariable analysis of survival predictor in chagasic patients. by Edimar Alcides Bocchi (7856090)

WT1 and LANA expression correlate with decreased T cell infiltrates. by Ayana E. Morales (17756335)

Data Sheet 1_Increased acid sphingomyelinase levels in saliva as oral mucositis severity predictors.pdf by Elsa Beatriz Monroy Ordonez (16322682)

Linear regression examining the SEP predictors of food choice motives. by Cecilia Chemeli Maina (18585001)

Multivariable logistic regression analyses of predictors of yearly retention. by Paola Daniore (14526520)

Subjects:

Predictors of knowledge breast cancer. by Abdul-Karim Abubakari (21417853)

Predictors of hypoglycemia in elderly patients with type 2 DM. by Ahmad Al-Azayzih (316067)

Subjects:

Predictors of asthma among university students (binary logistic regression model). by Tafajjal Islam (21453254)

Subjects:

Change in rectal temperature following pre-medication, induction and inhalant anesthesia. by Jacob P. Rastas (20642173)

Subjects:

Logistic regression showing predictors of atherosclerotic vascular disease. by S. O. Oguntola (22593331)

List of colocalized, S-PrediXcan significant associations in PAGE. by Ryan Schubert (6338801)

Visual representation of the spatial autocorrelation of residuals from the model for each response variable for the full season all taxa dataset, for which honey bee abundance was... by Sydney H. Worthy (16541959)

Feature importance scores of the predictors. by Chan-Young Ahn (22683343)

“…A random forest model identified loneliness (feature importance: 0.40), anxiety (0.18), and emptiness (0.14) as the most significant predictors of NSSI thoughts. Multilevel logistic regression confirmed these findings, showing that each one-unit increase in anxiety, loneliness, and emptiness corresponded to a 24%, 19%, and 24% increase in the odds of experiencing NSSI thoughts, respectively. …”