Results 201 to 210 of about 706,502 (262)

Cervical cancer perceived behavioral risk factors using logistic regression technique. [PDF]

J Biomed Res
Elzein IM, Chamseddine A, Eltanboly A, Elzein A.   +3 more
europepmc   +1 more source

Minimax estimation in regression and random censorship models

, 2000
openaire   +3 more sources

Robust Bayesian multilevel meta-analysis: Adjusting for publication bias in the presence of dependent effect sizes. [PDF]

Behav Res Methods
Bartoš F, Maier M, Wagenmakers EJ.
europepmc   +1 more source

Atrial fibrillation prediction in patients with hypertrophic cardiomyopathy based on long-term follow-up data and machine learning model. [PDF]

Front Physiol
Ding WX, Li GC, Dong HY, Zong DF, Ai XJ, Xia YL, Yang XL, Dong YX.   +7 more
europepmc   +1 more source

Development and external validation of a machine learning-based model for identifying advanced Parkinson's disease. [PDF]

Front Aging Neurosci
Tan XR, Zhou SD, Lv BH, Wei FZ, Teng WB, Qin C, Hu RT.   +6 more
europepmc   +1 more source

Development and external validation of an interpretable machine learning model for obesity-depression comorbidity in Korean and US adults. [PDF]

Int J Public Health
Shangguan Y, Lin Z, Sim YJ, Wu K, Chu Y, Huang K, Chen F, Ji K, Chen F, Liu S.   +9 more
europepmc   +1 more source

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Drop-outs and a random regression model

Journal of Biopharmaceutical Statistics, 1997
The implications of drop-outs for power of random regression model (RRM) tests of significance for differences in the rate of change produced by two treatments in a randomized parallel-groups design were investigated by Monte Carlo simulation methods. The two-stage RRM fitted a least squares linear regression equation to all of the available data for ...
J E Overall
exaly   +3 more sources