Age distribution and median age at hospitalization and death by HPV-associated cancer type and sex, Mexico, 2011–2019. by Juan Carlos Orengo (21546581)

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The variation trend of |BD| value with age: With the increase of age, the |BD| values decreased significantly (p<0.01). by Yunmeng Da (707943)

Joinpoint regression trends in age-standardized hospitalization and mortality rates of HPV-associated cancers in Mexico (2011-2019). by Juan Carlos Orengo (21546581)

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1-MX significantly increases levels of neurotransmitters. by Ralf Jäger (35049)

Trend of TI values with age: The TI values decreased significantly with the increase of age, * p<0.01 vs other groups. by Yunmeng Da (707943)

Trends in age-standardized hospitalization rates by HPV-associated cancer type and sex (2011–2019): annual percentage change and average annual percentage change. by Juan Carlos Orengo (21546581)

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Trends in age-standardized mortality rates by HPV-associated cancer type and sex (2011–2019): annual percentage change and average annual percentage change. by Juan Carlos Orengo (21546581)

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Significance of age and gender by Nikoletta Katsaouni (12872234)

“…(B) Mean clinical score versus age group. For age > 50 years, the mean clinical score increases monotonously with age, and the clinical scores differ significantly from younger patients (age < 50 years, Mann–Whitney U test). …”

Autophagy is significantly increased in the healthy older brains compared to the younger brains in post-mortem tissues. by Shreyasi Chatterjee (3531506)

1-MX significantly improved escape latency independent of age. by Ralf Jäger (35049)

Socioeconomic, demographic and behavioural characteristics of women included in the study. by Daan-Max van Dongen (19648520)

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Indicators of women’s empowerment by 7 regions in Nepal. by Daan-Max van Dongen (19648520)

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Crude and adjusted odds ratios for the association between the socio-economic, demographic, and behavioral characteristics and the different domains of empowerment. by Daan-Max van Dongen (19648520)

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by age and subgroup. by David McMillon (546087)

“…Finally, we discuss the implications of the model for a broader policy debate on crime control and for competing explanations of the Black-White gap in criminal involvement. …”

by age and subgroup. by David McMillon (546087)

“…Finally, we discuss the implications of the model for a broader policy debate on crime control and for competing explanations of the Black-White gap in criminal involvement. …”

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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Finishing time increases with age. by Shawn E. Bearden (21354500)

Age, but not ethanol and/or caffeine treatment, significantly affects eye diameter. by Carly L. Clayman (16496363)

Changes in child BMI increase in age in years for the 197 child participants. by Tanna Woods (11418870)

Joinpoint regression trends in crude hospitalization and mortality rates of HPV-associated cancers in Mexico (2011–2019). by Juan Carlos Orengo (21546581)

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