Results of stepwise multiple regression analysis for a systolic blood pressure. by Yuka Kojima (5563322)

The forest plot shows subgroup of field strength about FA values(A) and ADC values(B). by Nan Wang (21935)

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Funnel plot of FA(A) and ADC(B) values between the compressed and healthy sides of LDH patients. by Nan Wang (21935)

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Egger graph of FA(A) and ADC(B) values between the compressed and healthy sides of LDH patients. by Nan Wang (21935)

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Changes in the prevalence of schistosomiasis infection in humans, livestock, and snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

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Global Moran’s <i>I</i> spatial autocorrelation analysis on average density of living snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

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Results of Joinpoint model analysis on trends of schistosomiasis-related epidemic indicators in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

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Investigation results of schistosomiasis in humans, livestock and investigation on snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

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Changes in the average density of living snails and the occurrence rate of frames with snails in Jiangling County from 2005 to 2021. by Jiaxin Feng (4926844)

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Risk factors for development of a PPC: Bivariate logistic regression results (N = 5352). by Katelyn Morris (13943939)

Risk factors for development of a PPC: Bivariate logistic regression results (N = 5352). by Katelyn Morris (13943939)

Sensitivity analysis graph of FA(A) and ADC(B) values between the compressed and healthy sides of LDH patients. by Nan Wang (21935)

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Ordinal regression predictions. by Thierry Jean (20691795)

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Adjusted multinomial logistic regression models of class membership at baseline in relation to participant characteristics (N = 432). by Carolin Oetzmann (11397968)

Multivariate regression analysis to explain the decrease in visibility and palpability. by Miharu Matsumoto (21304390)

The main effects of PRGDP and Gi on SWB. by Feng Huang (62988)

“…Key findings include: (1) In temporal relationships, a 46.70% increase in GDP per capita implies a 0.38 increase in subjective well-being, while a 0.09 increase in the Gini coefficient means a 1.47 decrease in subjective well-being. (2) In spatial relationships, for every 46.70% increase in GDP per capita, subjective well-being rises by 0.51; however, this relationship is buffered by unfair distribution, and GDP per capita no longer significantly affects subjective well-being when the Gini index exceeds 0.609. …”

The forest plot shows the comparison of FA values(A) and ADC values(B) between the stressed and healthy sides in the random effects model. by Nan Wang (21935)

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Logistic regression analysis to predict the efficacy for liver function. by Naruyoshi Gyoutoku (22537831)

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Regression results. by Ke Liu (121889)

“…The results revealed that from 2010 to 2020, the population agglomeration level of the Xi’an metropolitan area showed a trend of first increasing and then decreasing. …”

Distribution of different ingredients at the same IDDSI level (Percentage and frequency) and statistical significance analysis (Chi-square test)^b'*'. by Muxi Chen (9294270)

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