Seorin Jeong, Sehyun Kim, Sung-Hoon Lim, Sun-Kyoung Yu
A study of correlations between cephalometric measurements in Koreans with normal occlusion by network analysis
Scientific reports
fundamental data analysis assists evaluation critical questions discern essential facts elicit formerly invisible evidence article provide clarity subtle phenomenon observed cancer incidences throughout time covid19 pandemic analyzed cancer incidence data american cancer society 1 partitioned data three groups precovid19 years 2017 2018 covid19 years 2019 2020 2021 postcovid19 years 2022 2023 novel manner applied principal components analysis pca computed angles cancer incidence vectors added lognormal probability concepts analysis analytic results revealed cancer incidences shifted within era pre post meaningful change cancer incidences occurring 2020 peak covid19 era defined computed interpreted exceedance probability cancer type 1000 incidences future year among breast cervical colorectal uterine corpus leukemia lung bronchus melanoma hodgkins lymphoma prostate urinary cancers also defined estimated illustrated indices cancer diagnoses vantage point breast cancer pre postcovid19 eras angle vectors post covid19 72 less prepandemic 28 less pandemic movement cancer vectors dynamic eras movement greatly differed type cancer trend chart cervical cancer showed statistical anomalies years 2019 2021 based findings future research directions pointed