Results 1 to 10 of about 1,458,976 (258)
In several research areas, it is common to have a dataset with more explanatory variables than the number of observations, called high-dimensional data. This condition can lead to multicollinearity problem.
Septa Dwi Cahya +3 more
doaj +1 more source
Sources of error in measurement of minimal residual disease in childhood acute lymphoblastic leukemia. [PDF]
The level of minimal residual disease (MRD) in marrow predicts outcome and guides treatment in childhood acute lymphoblastic leukemia (ALL) but accurate prediction depends on accurate measurement.Forty-one children with ALL were studied at the end of ...
Sue Latham +7 more
doaj +1 more source
Introduction: This Toronto-based study explores how density metrics relate to the solar potential of rooftops and facades of buildings in neighbourhoods differentiated by their use classifications. In the context of Toronto’s 2040 Net Zero Strategy, this
Javeriya Hasan +2 more
doaj +1 more source
Why we (usually) don't have to worry about multiple comparisons [PDF]
Applied researchers often find themselves making statistical inferences in settings that would seem to require multiple comparisons adjustments. We challenge the Type I error paradigm that underlies these corrections.
Gelman, Andrew +2 more
core +5 more sources
Arbitrage hedging in markets for the US lean hogs and the EU live pigs
The paper describes an attempt to gain insight into the relationship between cash and futures markets for US lean hogs and EU live pigs, and the opportunity of arbitrage hedging.
Martin ZIEGELBÄCK, Gregor KASTNER
doaj +1 more source
Accuracy of maturity prediction equations in individual elite male football players
Background Equations predicting age at peak height velocity (APHV) are often used to assess somatic maturity and to adjust training load accordingly. However, information on the intra-individual accuracy of APHV in youth athletes is not available.
Jan Willem (AJW) Teunissen +8 more
doaj +1 more source
Cultural Influnces on Risk Tolerance and Portfolio Creation [PDF]
We extend existing research that examines the impact of culture on risk tolerance. Using surveys completed by Chinese and American students, we find, consistent with previous studies, that Chinese students perceive themselves as more risk tolerant ...
Dolvin, Steven D. +3 more
core +2 more sources
Omitted variable bias of Lasso-based inference methods: A finite sample analysis
We study the finite sample behavior of Lasso-based inference methods such as post double Lasso and debiased Lasso. We show that these methods can exhibit substantial omitted variable biases (OVBs) due to Lasso not selecting relevant controls.
Wuthrich, Kaspar, Zhu, Ying
core +1 more source
A total of 120 Acacia melanoxylon R. Br. (Australian blackwood) stem discs, belonging to 20 trees from four sites in Portugal, were used in this study. The samples were kraft pulped under standard identical conditions targeted to a Kappa number of 15.
António J.A. Santos +4 more
doaj +1 more source
Animals monitor surrounding dangers independently or cooperatively (synchronized and coordinated vigilance), with independent and synchronized scanning being prevalent.
Dejun Kong +2 more
doaj +1 more source

