Results 51 to 60 of about 1,603 (207)

A finite sample comparison of nonparametric estimates of the effective dose in quantal bioassay [PDF]

open access: yes
To estimate the effective dose level ED a in the common binary response model, several parametric and nonparametric estimators have been proposed in the literature.
Dette, Holger, Scheder, Regine
core  

Cardiorenal Outcomes of Dapagliflozin vs. Empagliflozin in Advanced Chronic Kidney Disease and Diabetes

open access: yesClinical Pharmacology &Therapeutics, EarlyView.
Target trial emulation of a multi‐institutional electronic health record network showed comparable cardiorenal effectiveness and safety of dapagliflozin versus empagliflozin in adults with type 2 diabetes and advanced‐stage chronic kidney disease.
Shih‐Hsuan Lin   +6 more
wiley   +1 more source

Bridging Theory and Prediction: A Hybrid SEM and Machine Learning Approach to Optimize Lean Construction for Megaproject Sustainability in China

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Construction megaprojects, large‐scale, complex, and capital‐intensive, are particularly prone to inefficiencies, cost overruns, delays, and environmental degradation due to fragmented workflows, stakeholder misalignment, and resource intensity.
Abdelazim Ibrahim   +5 more
wiley   +1 more source

Polygenic risk score and prostate specific antigen predict death from prostate cancer in men with intermediate aggressive cancer

open access: yesInternational Journal of Cancer, EarlyView.
What's New? Using 21 SNPs, two novel PRS were constructed and used to develop two new machine‐learning classifiers, one for the detection of prostate cancer and the other for the prediction of its aggressiveness and subsequent mortality. The classifier for disease detection is built using the PRS as the sole feature, whereas the one for disease ...
Leandro Rodrigues Santiago   +3 more
wiley   +1 more source

Least squares and shrinkage estimation under bimonotonicity constraints [PDF]

open access: yes, 2018
In this paper we describe active set type algorithms for minimization of a smooth function under general order constraints, an important case being functions on the set of bimonotone r×s matrices. These algorithms can be used, for instance, to estimate a
Beran, Rudolf, Dümbgen, Lutz
core  

The “Zhang Xuefeng Effect”: Information Intervention and the College Admission Problem in China

open access: yesInternational Studies of Economics, EarlyView.
ABSTRACT Information regarding the quality of colleges and labor‐market prospects of majors plays an important role in parents' and students' school‐choice decisions, particularly when these decisions are crucially relevant to the students' long‐run career choices and life earnings.
Yutong Huo, Yun Wang
wiley   +1 more source

A comparative study of monotone nonparametric kernel estimates [PDF]

open access: yes
In this paper we present a detailed numerical comparison of three monotone nonparametric kernel regression estimates, which isotonize a nonparametric curve estimator. The first estimate is the classical smoothed isotone estimate of Brunk (1958).
Dette, Holger, Pilz, Kay F.
core  

Monetary Policy Shocks and Exchange Rate Dynamics in Small Open Economies

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT This paper investigates whether the effects of monetary policy shocks on real exchange rates have changed over time and, if so, whether these changes stem from shifts in transmission mechanisms or from variation in the volatility of the shocks themselves.
Madison Terrell   +3 more
wiley   +1 more source

MAXIMUM LIKELIHOOD ESTIMATION OF ORDERED MULTINOMIAL PARAMETERS [PDF]

open access: yes, 2003
The pool-adjacent violator-algorithm (Ayer et al., 1955) has long been known to give the maximum likelihood estimator of a series of ordered binomial parameters, based on an independent observation from each distribution (see, Barlow et al., 1972).
Jewell, Nicholas P, Kalbfleisch, Jack
core   +1 more source

Improving the Finite Sample Estimation of Average Treatment Effects Using Double/Debiased Machine Learning With Propensity Score Calibration

open access: yesJournal of Applied Econometrics, EarlyView.
ABSTRACT Double/debiased machine learning (DML) uses for estimating an average treatment effect (ATE) a double‐robust score function that relies on the prediction of nuisance functions, such as the propensity score, which is the probability of treatment assignment given covariates.
Daniele Ballinari, Nora Bearth
wiley   +1 more source

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