Proportion of child participants who defined trust, by age and component described. by Alex R. Wheeler (21453462)

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

Conceptual framework of relationships between remittances and other individual, household and community-level factors and outcome measures, with potential confounders and unobserva... by Chelsea Ducille (21540080)

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Adjusted odds ratios of skilled delivery and skilled delivery with MAMA kits with community-level variables added one by one (Continuous remittance exposure). by Chelsea Ducille (21540080)

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Relationship of amount of remittances and estimated probability of skilled delivery (adjusted model) n = 91. by Chelsea Ducille (21540080)

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Socio-demographic characteristics of women in study sample (means except as noted). by Chelsea Ducille (21540080)

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Regression model summary outputs: Skilled delivery with MAMA kit (Binary exposure.). by Chelsea Ducille (21540080)

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Relationship of amount of remittances and estimated probability of skilled delivery with MAMA Kit (adjusted model) n = 105. by Chelsea Ducille (21540080)

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Frequencies: Skilled delivery & skilled delivery with MAMA kit by exposure to remittances. by Chelsea Ducille (21540080)

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Regression model summary outputs: Skilled delivery (Binary exposure). by Chelsea Ducille (21540080)

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Adjusted odds ratios of skilled delivery and skilled delivery with MAMA kits with community-level variables added one by one (Binary remittance exposure). by Chelsea Ducille (21540080)

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Regression model summary outputs: Skilled delivery with MAMA kit (Continuous exposure). by Chelsea Ducille (21540080)

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Regression model summary outputs: Skilled delivery (Continuous exposure). by Chelsea Ducille (21540080)

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Mean Scores (SD) on trust scales and subscales, by age group. by Alex R. Wheeler (21453462)

Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

“…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”

Levels of perceived causes of child marriage by FGD and KII participants. by Nished Rijal (20896311)

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Crude and adjusted times and hazard ratios for child mortality. by Samuel Sendagala (21417164)

Perceived influence on child marriage-quotes from FGD and KII participants. by Nished Rijal (20896311)

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Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

Predicted^* value of age at school entry (in years), by level of height-for-age. by Rabi Joël Gansaonré (20416803)