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

TSLPR deficient mice show decreased AHR upon HDM exposure. by Latifa Koussih (326043)

Prevalence of osteoporosis classified by sex, and urinary cadmium level compare between 2019 and 2022. by Aroon La-up (14095691)

Shares of antibiotic substances on total prescription in UTI treatment (N39.0, N30.0) by sex and age group in 2019 (female: n = 238.670 prescriptions; male: n = 40.641 prescription... by Thomas Hanslmeier (19949694)

Predictions of Age-Standardized Rate of burden caused by fire, heat and hot substances for different sexes in 2030 based on the Bayesian Age-Period-Cohort model. by Shi Huang (125861)

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

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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). …”

Age- and sex-specific distribution of prevalence, incidence, mortality, and DALY rates for leukemia in mainland China. by Yu Fu (16582)

Trend of the sex difference across years in overall race time. by Beat Knechtle (5504402)

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Cohort characteristics. by Fernanda Talarico (807333)

“…</p><p>Results</p><p>The analysis reveals a significant decrease in all health services utilization from 2016 to 2019, followed by an increase until 2022. …”

Age- and sex-specific distribution of prevalence, incidence, mortality, and DALY rates for lymphoma, multiple myeloma, and other hematological neoplasms in mainland China. by Yu Fu (16582)

Sex difference in swimming by split disciplines by the type of swim, bike, and run course. by Beat Knechtle (5504402)

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Number of finishers by age group for women and men with the overall race times for each age group (HH:MM:SS). by Beat Knechtle (5504402)

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The performance difference between the sexes (in percent) across age groups for split disciplines and overall race times. by Beat Knechtle (5504402)

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S1 Data - by Beat Knechtle (5504402)

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Average split and overall race times (HH:MM:SS). by Beat Knechtle (5504402)

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Split and overall race times for women and by age group. by Beat Knechtle (5504402)

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Trends of average and best race times for IRONMAN^® age group triathletes. by Beat Knechtle (5504402)

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S2 Data - by Beat Knechtle (5504402)

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Number of finishers by sex and men-to-women ratio over the years between 2002 and 2022. by Beat Knechtle (5504402)

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