Results 251 to 260 of about 5,409,783 (312)

What Shapes Clinical Competence in Intensive Care Nurses? A Hierarchical Regression Analysis. [PDF]

Nurs Crit Care
Kurt H, Ceyhan Ö.
europepmc   +1 more source

Tumor regression grades in locally advanced gastroesophageal adenocarcinoma: associations with survival, pathological risk factors, and molecular biomarkers in a 19-year real-world cohort. [PDF]

ESMO Gastrointest Oncol
Puhr HC, Mozayani B, Korpan M, Kaya M, Kordik F, Kastner M, Duman A, Jomrich G, Kollmann D, Schoppmann SF, Berger JM, Prager GW, Bergen ES, Preusser M, Ilhan-Mutlu A.   +14 more
europepmc   +1 more source

Breed-Specific Relationship Between Rebound Tonometers (TonoVet and TonoVet Plus) in Labrador Retrievers. [PDF]

Vet Ophthalmol
Sugiura A, Yogo T.
europepmc   +1 more source

Quantile Tensor Regression for Integrative Genomic Analysis of Oesophageal Carcinoma. [PDF]

Stat Med
Liu S, Härdle WK, Pan J, Hou J, Meng T, Tian M.   +5 more
europepmc   +1 more source

Machine learning for prediction of large-for-gestational-age neonate with adverse outcome at routine ultrasound examination at 35-37 weeks. [PDF]

Ultrasound Obstet Gynecol
Lopian M, Ulusoy CO, Mohammed D, Segal E, Khalil A.   +4 more
europepmc   +1 more source

Kappa Regression: An Alternative to Logistic Regression [PDF]

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2020
In this study, a new regression method called Kappa regression is introduced to model conditional probabilities. The regression function is based on Dombi’s Kappa function, which is well known in fuzzy theory. Here, we discuss how the Kappa function relates to the Logistic function as well as how it can be used to approximate the Logistic function. We
Dombi József, Jónás Tamás
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Regression Calibration in Failure Time Regression

Biometrics, 1997
In this paper we study a regression calibration method for failure time regression analysis when data on some covariates are missing or mismeasured. The method estimates the missing data based on the data structure estimated from a validation data set, a random subsample of the study cohort in which covariates are always observed.
Wang, C. Y., Hsu, Li, Feng, Z. D., Prentice, Ross L.   +3 more
openaire   +2 more sources

Boolean regression

Annals of Operations Research, 1995
We take a regression-based approach to the problem of induction, which is the problem of inferring general rules from specific instances. Whereas traditional regression analysis fits a numerical formula to data, we fit a logical formula to boolean data. We can, for instance, construct an expert system for fitting rules to an expert's observed behavior.
Endre Boros, Peter L. Hammer, John N. Hooker   +2 more
openaire   +2 more sources