Linear trends of weekly prescription rates of NVBP varieties. by Chenxuan Zhu (22622476)

Subgroup analysis of AIP and depression. by Siyi Deng (12887198)

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Estimation of the coefficients of a generalised linear model of posttraumatic stress symptomatology. by Beatriz Arregui-Gallego (21553735)

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The significance of variables for overall TS in each condition and group. by Jiyoung Kwak (13530595)

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Generalised linear mixed-effects model results for health variables. by Catherine Tulloch (14515521)

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

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Study flow chart. by Benjamin R. Lewis (22279166)

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Study CONSORT diagram. by Benjamin R. Lewis (22279166)

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Knockdown of TSG101 or ALIX in RAW264.7 macrophages reveals the critical role of ALIX. by Javier Rosero (22258517)

Multiple linear regressions of carbon storage fraction of different components. by Genzhu Wang (8449938)

Effect sizes (d) and significance in NCA. by S. M. Mahbubur Rahman (9738614)

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Significant alterations in the levels of coding editing sites in disease. by Tomer D. Mann (15203465)

Summary of regression results. by Max Jordan Nguemeni Tiako (11442284)

“…Black-White disparities decreased over time, with a larger effect on Black men, and Older Black people were particularly more vulnerable to COVID-19 in terms of mortality. …”

S1 Raw data - by Max Jordan Nguemeni Tiako (11442284)

“…Black-White disparities decreased over time, with a larger effect on Black men, and Older Black people were particularly more vulnerable to COVID-19 in terms of mortality. …”

Significant GO terms enriched by GOMO analysis for biotic/hormonal DEGs. by Zahra Soltani (2898647)

Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice. by Udaysankar Chockanathan (18510288)

“…The spatial information in dCA1 was significantly larger than circularly shuffled spike trains with similar mean firing rates for C57BL/6 mice (mean ± std: empirical = 0.132 ± 0.048, shuffled = 0.124 ± 0.035, p < 0.001, two-sided Wilcoxon rank-sum test, n_empirical = 305 units from 5 recording sessions, n_shuffled = 30500 simulated units from 5 recording sessions), but not for APP/PS1 mice (mean ± std: empirical = 0.128 ± 0.051, shuffled = 0.123 ± .047, p = 0.39, two-sided Wilcoxon rank-sum test, n_empirical = 180 units from 4 recording sessions, n_shuffled = 18000 simulated units from 4 recording sessions). …”

Table_1_Integrated bioinformatic analysis and cell line experiments reveal the significant role of the novel immune checkpoint TIGIT in kidney renal clear cell carcinoma.docx by Qi-Dong Xia (10902453)

“…Further Tide ips score analysis and submap analysis reveal that patients with high TIGIT expression significantly show a better response to anti-PD1 immunotherapy. …”

Characteristics of patients. by Seungyoon Paik (14659575)

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Event-free survival plot. by Seungyoon Paik (14659575)

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Case. by Seungyoon Paik (14659575)

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