Results 1 to 10 of about 2,959,577 (269)

Uncertainty and inconsistency of COVID-19 non-pharmaceutical intervention effects with multiple competitive statistical models. [PDF]

Sci Rep
Müller B, Padberg I, Lorke M, Brinks R, Cripps S, Gomes MGM, Haake D, Ioannidis JPA.   +7 more
europepmc   +1 more source

Assessing flood susceptibility in a Triyuga watershed, Nepal using statistical models. [PDF]

Sci Rep
Rayamajhi D, Bhattarai K, Giri K, Budhathoki M, Karn NK, Subedi O, Regmi RK, Dahal V.   +7 more
europepmc   +1 more source

The association between sleep quality and postoperative pain after half-impacted mandibular third molar extraction: comparison of three statistical models. [PDF]

BMC Oral Health
Hu L, Zhao C, Wang T, Xue C, Wang S, Liu C, Zhang T, Lu X, Cao Y, Pan J.   +9 more
europepmc   +1 more source

Systematic review and comparison of machine learning and conventional statistical models for predicting cardiovascular events in dialysis patients. [PDF]

Ren Fail
Lu Y, Chen C, Qiu J, Ji Q, Zhou L, Xiong H, Wu T.   +6 more
europepmc   +1 more source

Risk of bias in machine learning and statistical models to predict height or weight: a systematic review in fetal and paediatric medicine. [PDF]

Diagn Progn Res
Lawrence NR, Bacila I, Tonge J, Tucker A, Dawson J, Lang ZQ, Krone NP, Dhiman P, Collins GS.   +8 more
europepmc   +1 more source

Gene expression and metadata based identification of key genes for lung cancer, COPD, and IPF using machine learning and statistical models. [PDF]

PLoS One
Yasmin MF, Hosen MF, Basar MA, Rahman A, Hasan M, Al Farid F, Karim HA, Miah ASM.   +7 more
europepmc   +1 more source

StatModPredict: A user-friendly R-Shiny interface for fitting and forecasting with statistical models. [PDF]

PLoS One
Bleichrodt A, Phan A, Luo R, Kirpich A, Chowell G.   +4 more
europepmc   +1 more source

Statistical models for predicting the number of under-five mortality in Nepal. [PDF]

PLoS One
Bhusal MK, Khanal SP.
europepmc   +1 more source

Enhancing AI-driven forecasting of diabetes burden: a comparative analysis of deep learning and statistical models. [PDF]

Sci Rep
Esmaeilyfard R, Bayati M.
europepmc   +1 more source

Comparison of oblique random survival forest, random survival forest, and statistical models for time-to-event data using simulation study. [PDF]

Sci Rep
Suliman A, Abdullahi AS, Masud MM, Serhani MA, AlZahmi A, Oulhaj A.   +5 more
europepmc   +1 more source