Results 291 to 300 of about 286,227 (342)

A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness Under the Test-Negative Design: Analysis of Québec Administrative Data. [PDF]

Stat Med
Jiang C, Talbot D, Carazo S, Schnitzer ME.   +3 more
europepmc   +1 more source

Do we need flexible machine-learning algorithms to assess the effect of long-term exposure to fine particulate matter on mortality?: An example from a Canadian national cohort. [PDF]

Environ Epidemiol
Chen C, Kaufman JS, Rana J, Benmarhnia T, Chen H.   +4 more
europepmc   +1 more source

Difference-Cum-Exponential-type estimators for estimation of finite population mean in survey sampling. [PDF]

PLoS One
Javed M, Irfan M, C Shongwe S, Hussain MA, Zico Meetei M.   +4 more
europepmc   +1 more source

Labor market sorting and the gender pay gap revisited. [PDF]

J Popul Econ
Strittmatter A, Wunsch C.
europepmc   +1 more source

Some ratio type predictive estimators for estimation of the average water level of a river using season as an auxiliary attribute. [PDF]

Heliyon
Rafaqat M, Khan H.
europepmc   +1 more source

On the bias of the jackknife estimate of variance

, 1992
openaire   +2 more sources

Evaluating MINFLUX experimental performance in silico

Marin Z, Ries J.
europepmc   +1 more source

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On Bias Reduction in Estimation

Journal of the American Statistical Association, 1971
Abstract A general procedure for reducing the bias of point estimators is introduced. The technique includes the “jackknife” as a special case. The existing notion of reapplication is shown to lack a desirable bias removal property for which it was originally designed.
William R. Schucany, H. L. Gray, Donald B. Owen   +2 more
openaire   +2 more sources