Ruoyu He, Mingyang Liu, Zhaotong Lin, Zhong Zhuang, Xiaotong Shen, Wei Pan
DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies
Biostatistics (Oxford, England)
low rates anticipatory guidance ag reported across studies adolescents little known conversations differ across early versus middle adolescence study explored adolescentprovider ag conversations preventive health skills study objectives 1 identify patterns provideradolescent ag conversations across early middle adolescence 2 determine sociodemographic characteristics associated ag conversations data 2019 national survey childrens health used identify patterns provideradolescent ag conversations sample included 5500 early 6730 middle adolescents mage 1467 years old sd 171 517 boys 79 white multiple group latent class analysis multinomial regressions estimated using four indicators ag conversations ie skills manage health healthcare changes healthcare happen 18 making positive choices health receiving medical history summary three types ag conversations identified high ag low ag parent unaware among early middle adolescents adolescents older girls private health insurance personal provider less likely receive high ag compared types ag policies strategies engage adolescents ag conversations outside medical appointment needed tools brief screeners used ensure adolescents receiving high ag schoolbased health centers community centers organizations telehealth appointments medical professionals may additional opportunities adolescents receive ag