Significant inter-relationships between baseline variables and MSCC or MCS. by Harshit Arora (22008280)

Scatter plots of the relationships between age and the proportions of cells which statistically significantly correlated with age. by Arttu Autio-Kimura (20454681)

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Intra- and inter-day precision and accuracy. by Ewa Paszkowska (21246702)

“…<div><p>Purpose</p><p>Statins are the most commonly used drugs worldwide. Besides a significant decrease in cardiovascular diseases (CVDs) risk, the use of statins is also connected with a broad beneficial pleiotropic effect. …”

Most significant muscle activation values. by María Benito-de-Pedro (22057468)

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Significant repeated measurements sEMG outcomes. by María Benito-de-Pedro (22057468)

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Significant single measurement sEMG outcomes. by María Benito-de-Pedro (22057468)

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UTI diagnoses by sex and physician specialty (2013–2019). by Thomas Hanslmeier (19949694)

Contains R code utilized in the analyses. by Arttu Autio-Kimura (20454681)

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Sex-based differences for combinations of brain regions and cell types, based on Mann-Whitney U-test. by Arttu Autio-Kimura (20454681)

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Bootstrapped spearman correlations from a randomly selected subset of male sample donor originating samples (n = 493). by Arttu Autio-Kimura (20454681)

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Spearman correlations between the age of the sample donor (20–70 years) and estimated proportions of neuronal, glial, and endothelial cells. by Arttu Autio-Kimura (20454681)

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Box plots for subsets of female originating samples, displaying the distributions of the proportions of neuronal, glial, and endothelial cells. by Arttu Autio-Kimura (20454681)

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Box plots for subsets of male originating samples, displaying the distributions of the proportions of neuronal, glial, and endothelial cells. by Arttu Autio-Kimura (20454681)

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Box plot displaying the distributions of the deconvolution derived proportions of cell types. by Arttu Autio-Kimura (20454681)

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Spearman correlation of age with proportions of cell types in men, for each brain region. by Arttu Autio-Kimura (20454681)

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Descriptive characteristics of service utilization by sex and year. by Fernanda Talarico (807333)

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Age and sex distribution of the participants. by Dai Nogimura (21445649)

Association between FF Proximity and BMI by sex. by Kimberly Yuin Y’ng Wong (22766265)

“…The overall association between FF proximity and BMI was not significant but modified by sex (p-_{heterogeneity} <0.001). …”

Participants by event status and sex. by Beat Knechtle (5504402)

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Sex-differentiated risk signal volcano plot for finasteride. by Xiaoling Zhong (181270)