State transition dynamics of reputation considering third-order information and multiple reputation values: by Hitoshi Yamamoto (738861)

Validation of child labor measures using third-party data, households with all children in school. by Guilherme Lichand (11410286)

Candidates from the RF method. The top 25 random forest candidates ranked by mean decrease in accuracy and mean decrease in Gini Index are in the first and second columns, respecti... by Zoë Parker Cates (22184243)

Evaluation rule considering third-order information and multiple reputation values: By cluster analysis and best-fitting distribution for each distribution done on basis of BIC, re... by Hitoshi Yamamoto (738861)

Flow chart describing samples. by Rabi Joël Gansaonré (20416803)

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Data set from the 2022 study. by Peter Sandøe (553063)

Ethnic identity as a moderator among APIDA students. by Ronna Bañada (19233063)

Flow chart for inclusion and exclusion criteria. by Maleda Tefera (9025154)

“…Conversely, the likelihood of wasting decreased in children breastfeeding in their second and third year of life (AOR: 0.75; 95% CI 0.67, 0.83) and (AOR: 0.50; 95% CI 0.43, 0.60) respectively. …”

The correlogram. by Bingtao Su (4740009)

“…Results demonstrated that groups with a lower prevalence of diabetes showed lower dietary EFP, while the dietary EFP and GHG emissions peaked among the prediabetes group with a prevalence of 32.7%−34.9%, and then decreased significantly with the increasing prevalence of prediabetes. …”

The food consumption quantity. by Bingtao Su (4740009)

“…Results demonstrated that groups with a lower prevalence of diabetes showed lower dietary EFP, while the dietary EFP and GHG emissions peaked among the prediabetes group with a prevalence of 32.7%−34.9%, and then decreased significantly with the increasing prevalence of prediabetes. …”

Dataset. by Bingtao Su (4740009)

“…Results demonstrated that groups with a lower prevalence of diabetes showed lower dietary EFP, while the dietary EFP and GHG emissions peaked among the prediabetes group with a prevalence of 32.7%−34.9%, and then decreased significantly with the increasing prevalence of prediabetes. …”

Predicted^* value of age at school entry by height-for-age z-score and child’s sex. by Rabi Joël Gansaonré (20416803)

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Predicted^* value of age at school entry by height-for-age z-score and household socioeconomic status. by Rabi Joël Gansaonré (20416803)

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Predicted^* value of age at school entry by height-for-age z-score and mother’s education. by Rabi Joël Gansaonré (20416803)

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Age at school entry, incidence of grade repetition, incidence of dropout, and baseline characteristics of participants. by Rabi Joël Gansaonré (20416803)

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Change^a in incidence of repetition [95% confidence interval]. by Rabi Joël Gansaonré (20416803)

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Predicted^* value of age at school entry by height-for-age z-score and place of residence. by Rabi Joël Gansaonré (20416803)

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Change^a in incidence of repetition according to a one-unit change in the initial value of the height-for-age z-score. by Rabi Joël Gansaonré (20416803)

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Change^a in years of age at school entry according to a one-unit change in the initial value of the height-for-age z-score. by Rabi Joël Gansaonré (20416803)

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Change^a in incidence of dropout according to a one-unit change in the initial value of the height-for-age z-score. by Rabi Joël Gansaonré (20416803)

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