Results 271 to 280 of about 479,757 (331)

Statistical inference after variable selection in Cox models: a neutral simulation study. [PDF]

BMC Med Res Methodol
Schemet L, Friedrich-Welz S.
europepmc   +1 more source

Standardized survival probabilities and contrasts between hierarchical units in multilevel survival models. [PDF]

BMC Med Res Methodol
Gasparini A, Crowther MJ, Schaffer JM.
europepmc   +1 more source

Multivariate Regression With Dependence Structures: Evaluating Associations Between Plasma Metabolomics and Alcohol Intake in Older Adults. [PDF]

Stat Med
Yang Y, Chen C, Lee H, Wang M, Zhang Y, Chen S.   +5 more
europepmc   +1 more source

Shrinkage estimation in prediction.

, 1997
openaire   +1 more source

Interval Shrinkage Estimators

SSRN Electronic Journal, 2010
This paper considers estimation of an unknown distribution parameter in situations where we believe that the parameter belongs to a finite interval. We propose for such situations an interval shrinkage approach which combines in a coherent way an unbiased conventional estimator and non-sample information about the range of plausible parameter values ...
Vasyl Golosnoy, Roman Liesenfeld
openaire   +2 more sources

Risk performance of some shrinkage estimators

Communications in statistics. Simulation and computation, 2019
Shrinkage estimators incorporating homogeneous and heterogeneous minimum mean square error estimators have a great deal of usage in the literature by means of adaptive choices of these estimators.
Nimet Özbay, Selahattin Kaçıranlar
semanticscholar   +2 more sources

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Shrinkage Estimators for Uplift Regression

ECML/PKDD, 2020
Uplift modeling is an approach to machine learning which allows for predicting the net effect of an action (with respect to not taking the action). To achieve this, the training population is divided into two parts: the treatment group, which is subjected to the action, and the control group, on which the action is not taken. Our task is to construct a
Krzysztof Rudas, Szymon Jaroszewicz
openaire   +2 more sources

Shrinkage Estimators in Zero-Inflated Bell Regression Model with Application

Journal of Statistical Theory and Practice
We suggest Stein-type estimators for zero-inflated Bell regression models by incorporating information on model parameters. These estimators combine the advantages of unrestricted and restricted estimators.
Solmaz Seifollahi, Hossein Bevrani, Z. Algamal   +2 more
semanticscholar   +3 more sources