Results 1 to 10 of about 56,994 (264)

Effect of iodine nutrition on blood glucose and blood lipid levels in different regions: Based on quantile regression. [PDF]

PLoS One
Chen S, Zhang Y, Liu Z, Wang C, He Y, Liu P, Zhang W, Meng F, Liu L, Sun D, Fan L.   +10 more
europepmc   +1 more source

Quantile regression analysis of the heterogeneous association between digital cultural engagement and health literacy: evidence from rural China. [PDF]

Front Public Health
Du C, Wu L.
europepmc   +1 more source

Determinants of childhood anaemia in Nigeria: a public health perspective using quantile regression analysis. [PDF]

BMC Public Health
Mhelembe T, Ramroop S, Habyarimana F.
europepmc   +1 more source

Nonparametric quantile regression captures regional variability and scaling deviations in Atlantic surfclam length-weight relationships. [PDF]

Sci Rep
Bidegain G, Sestelo M, Luque PL, Powell EN, Irirarte A, Uriarte I, Munroe D.   +6 more
europepmc   +1 more source

Turbofan Engine Remaining Useful Life Prediction with Reliable Prediction Intervals via LSTM-Based Quantile Regression and Conformal Calibration. [PDF]

Sensors (Basel)
Diao R, Zhou M, Meng G, Wang S.
europepmc   +1 more source

Asymmetric effects of heating and cooling degree days on carbon dioxide emissions in Germany using cross quantile regression. [PDF]

Sci Rep
Akadiri SS, Özkan O, Hamza F.
europepmc   +1 more source

Exploring the heterogeneity in recurrent episode lengths based on quantile regression. [PDF]

Biometrics
Liu Y, Umpierrez GE, Peng L.
europepmc   +1 more source

A High-Resolution Forest Soil Organic Carbon Dataset for China Derived from an Enhanced Quantile Regression Forest Model. [PDF]

Sci Data
Chen J, Ou Y, Fan Z, Zhang X, Xiao W, Sun Q, Sun X, Huang Z.   +7 more
europepmc   +1 more source

Factors influencing childbearing intention among married childless female nurses in Korea: a cross-sectional study using quantile regression. [PDF]

Womens Health Nurs
Jung Y, Kim M.
europepmc   +1 more source

Integrating quantile regression with ARIMA and ANN for interpretable and accurate PM2.5 forecasting in Hat Yai, Thailand. [PDF]

Sci Rep
Chumnaul J, Damkliang K.
europepmc   +1 more source