S1 File - by C. Vijay Reena Durai (14498259)

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Representation of better of the two eyes’ monocular FMTs and binocular FMTs. by C. Vijay Reena Durai (14498259)

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Fig 1 - by C. Vijay Reena Durai (14498259)

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Distinct expression patterns of <i>Bgl-</i>FaNaC and the FMRF-NH₂ precursors in the visceral and left parietal ganglia. by Laura C. Vicente-Rodríguez (16437803)

The effect of NaCl on frozen α₂M preparations. by Amy R. Wyatt (759221)

Cumulative incidence of mortality and loss to follow-up (LTF) among study participants by treatment arms from baseline through week 24. by Tosi M. Mwakyandile (16408705)

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Socio-demographic and clinical characteristics of HIV-infected treatment-naïve individuals initiating ART. by Tosi M. Mwakyandile (16408705)

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Changes in baseline CD4 count through week 12 and week 24 according to the linear regression model. by Tosi M. Mwakyandile (16408705)

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Most frequently experienced adverse events among study participants by treatment arms from baseline through week 24. by Tosi M. Mwakyandile (16408705)

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Cumulative incidence of morbidity, loss to follow-up (LTF) and mortality among study participants by treatment arms from baseline through week 24. by Tosi M. Mwakyandile (16408705)

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Consolidated Standards of Reporting Trials flow diagram for participants in the trial. by Tosi M. Mwakyandile (16408705)

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Median changes in CD4 count, platelet activation, immune activation, and exhaustion markers from baseline through week 12 and week 24. by Tosi M. Mwakyandile (16408705)

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Changes in baseline T-cell exhaustion, monocyte activation and platelet activation markers through week 12 and week 24 according to the linear regression model. a. by Tosi M. Mwakyandile (16408705)

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Participants with virologic suppression or failure at week 24. by Tosi M. Mwakyandile (16408705)

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Changes in baseline T-cell activation markers through week 12 and week 24 according to the linear regression model. a. by Tosi M. Mwakyandile (16408705)

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Patterns of lifetime use of substances by gender. by Daniel Waiganjo Kinyanjui (15877725)

“…The lifetime prevalence of substance use was 41.5%, while that of alcohol use was 36%. For both, a higher mean neuroticism score [substance use- (AOR 1.05, 95%CI; 1, 1.10: p = 0.013); alcohol use- (AOR 1.04, 95%CI; 0.99, 1.09: p = 0.032)] showed increased odds of lifetime use, while a higher mean agreeableness score [substance use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.008); alcohol use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.032)] showed decreased odds of lifetime use. …”

S1 Data - by Daniel Waiganjo Kinyanjui (15877725)

“…The lifetime prevalence of substance use was 41.5%, while that of alcohol use was 36%. For both, a higher mean neuroticism score [substance use- (AOR 1.05, 95%CI; 1, 1.10: p = 0.013); alcohol use- (AOR 1.04, 95%CI; 0.99, 1.09: p = 0.032)] showed increased odds of lifetime use, while a higher mean agreeableness score [substance use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.008); alcohol use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.032)] showed decreased odds of lifetime use. …”

Factors associated with substance use. by Daniel Waiganjo Kinyanjui (15877725)

“…The lifetime prevalence of substance use was 41.5%, while that of alcohol use was 36%. For both, a higher mean neuroticism score [substance use- (AOR 1.05, 95%CI; 1, 1.10: p = 0.013); alcohol use- (AOR 1.04, 95%CI; 0.99, 1.09: p = 0.032)] showed increased odds of lifetime use, while a higher mean agreeableness score [substance use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.008); alcohol use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.032)] showed decreased odds of lifetime use. …”

Factors associated with personality traits. by Daniel Waiganjo Kinyanjui (15877725)

“…The lifetime prevalence of substance use was 41.5%, while that of alcohol use was 36%. For both, a higher mean neuroticism score [substance use- (AOR 1.05, 95%CI; 1, 1.10: p = 0.013); alcohol use- (AOR 1.04, 95%CI; 0.99, 1.09: p = 0.032)] showed increased odds of lifetime use, while a higher mean agreeableness score [substance use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.008); alcohol use- (AOR 0.99, 95%CI; 0.95, 1.02: p = 0.032)] showed decreased odds of lifetime use. …”

Presentation_1_Do We Overestimate the Within-Variability? The Impact of Measurement Error on Intraclass Coefficient Estimation.pdf by Rafael Wilms (8858795)