Binary logistic regression coefficients of sociodemographic variables on depression, anxiety, and stress. by Md. Omar Faruk (10799639)

Distribution of variables among construction workers by depression, anxiety, and stress. by Nitai Roy (5619287)

Results of MD groups and significant associations with offspring outcomes. by María Francisca Morales (14684377)

Mean scores of depression, purpose in life, and loneliness by gender. by Anthony Kwabena Nkyi (18309718)

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Effects of pre-medication and warming device on systolic (SAP), diastolic (DAP) and mean (MAP) arterial pressures in dogs following pre-medication, induction and inhalant anesthesi... by Jacob P. Rastas (20642173)

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Percent mortality (mean± SE) of aphid populations from four agroecological zones after ten days of exposure to six entomopathogenic fungal isolates in the laboratory at a concentra... by Aime Cheoh Enoh (20141758)

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Descriptives of outcome variables. by Ivette Cejas (3168360)

Twitter use by working/studying from home: Mean days drinking in past week. by Karen G. Chartier (11714643)

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Logistic regression analysis among demographic variables and anxiety/depression (n = 400). by Farhan Alshammari (11748747)

Multiple regression analysis with TEMPS-A scores as dependent variables and PBI scores as independent variables. by Yu Tamada (16748686)

Child-related psychosocial variables. by Adefunke DadeMatthews (18397342)

χ² test of significant differences in depression and anxiety levels between all groups. by Pamela Marahwa (13199889)

Mean scores of depression purpose in life, and loneliness by marital status. by Anthony Kwabena Nkyi (18309718)

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Graphs showing the mean temperature increase at the positions with the highest mean temperature increase for the MIPS (A) and MONO (B) systems and three drilling protocols (DP1, DP... by Marsel Ganeyev (21453399)

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Association between anxiety and depression and selected variables n = 388. by Sunita Poudyal (15909905)

Correlation matrix of study variables. by Suyeong Bae (13001702)

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Results of logistic regression analysis with MEL/ NMEL as the dependent variable and TEMPS-A scores as independent variables. by Yu Tamada (16748686)

Logistic regression analysis of the most significant aspects and variables, adjusted for potential confounding factors according to age groups. by Bruna Caroline Cassiano da Silva (21553477)

Differences in the presence of depressive symptoms according to variables of interest, stratified by altitude. by Cynthia Alejandra Zegarra-Rodríguez (14290331)

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Lethal time (mean LT₅₀ and LT₉₀ with 95% confidence limits) for aphid populations from different agroecological zones exposed to six entomopathogenic fungal i... by Aime Cheoh Enoh (20141758)

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