Adverse cardiovascular events by immune checkpoint inhibitor. by Jennifer M. Kwan (3350321)

Subjects: “…adverse cardiovascular events…”

Baseline demographics and comorbidities by presence of post-treatment adverse cardiovascular events. by Jennifer M. Kwan (3350321)

Subjects: “…adverse cardiovascular events…”

Cox regression models for adverse cardiovascular events (ACE) and individual components of ACE. by Jennifer M. Kwan (3350321)

Subjects: “…adverse cardiovascular events…”

Significant Decrease in Vessel Count of Trade Vessels in (a) Bosporus Strait and (b) Bab el-Mandeb Strait. by Cherryl Chico (20978829)

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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Study-related adverse events. by Benjamin R. Lewis (22279166)

“…In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”

Patient characteristics before and after propensity score matching. by Anna D. Ware (19688153)

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Unadjusted and adjusted odds ratios (95% confidence interval) for associations between patients who were prescribed aspirin at baseline and the occurrence of post-COVID-19 acute th... by Anna D. Ware (19688153)

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Forest plot displaying the association (odds ratio [95% CI]) between patients who were prescribed aspirin at baseline and the occurrence of post-COVID-19 acute thromboembolic disor... by Anna D. Ware (19688153)

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Patient flowchart. by Anna D. Ware (19688153)

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Frequency of post-COVID-19 acute thromboembolic disorders among aspirin users vs. non-users within 12 months following index date. by Anna D. Ware (19688153)

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List of triathlon events analyzed. by Junhui Zhao (626062)

“…Temperature has a positive effect on race times, while altitude also shows a significant positive impact, with race times decreasing as altitude increases (up to 1,600 meters in this study’s dataset). …”

Analysis of the significantly different metabolomic features. by Bhuripit Saraphol (20855573)

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

Correlations between significantly different microbiota and metabolites. by Bhuripit Saraphol (20855573)

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New visits, types of health events, procedure, and outcome of health events during all of 2020, and during the BR-period, Ramadan period, and AR-period. by Taizo Sakata (21567847)

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Relationship between Hot Surface Temperature and Ignition Event. by Lei Bai (631944)

Political events and impacts in different periods. by Jie Li (15030)