Results 41 to 50 of about 871,313 (293)

Probabilistic methods for seasonal forecasting in a changing climate: Cox-type regression models [PDF]

open access: yes, 2010
For climate risk management, cumulative distribution functions (CDFs) are an important source of information. They are ideally suited to compare probabilistic forecasts of primary (e.g. rainfall) or secondary data (e.g. crop yields).
Maia, A.H.N., Meinke, H.B.
core   +3 more sources

Box-Cox symmetric distributions and applications to nutritional data [PDF]

open access: yes, 2017
We introduce the Box-Cox symmetric class of distributions, which is useful for modeling positively skewed, possibly heavy-tailed, data. The new class of distributions includes the Box-Cox t, Box-Cox Cole-Gree, Box-Cox power exponential distributions, and
Ferrari, Silvia L. P., Fumes, Giovana
core   +1 more source

Correlation of hypocalcemia with poor prognosis of COVID-19 based on COX regression model: an analysis of 2 651 patients

open access: yesDi-san junyi daxue xuebao, 2021
Objective To investigate whether hypocalcemia is associated with poor prognosis in COVID-19 patients. Methods A retrospective analysis was performed on 2 651 COVID-19 patients admitted to Wuhan Huoshenshan Hospital from February 4, 2020 to April 11, 2020.
XIANG Hedong   +9 more
doaj   +1 more source

FLCRM: Functional Linear Cox Regression Model [PDF]

open access: yesBiometrics, 2017
SummaryWe consider a functional linear Cox regression model for characterizing the association between time-to-event data and a set of functional and scalar predictors. The functional linear Cox regression model incorporates a functional principal component analysis for modeling the functional predictors and a high-dimensional Cox regression model to ...
Dehan Kong   +3 more
openaire   +3 more sources

Mimicking Cox-Regression [PDF]

open access: yesCommunications in Statistics - Theory and Methods, 2003
Abstract A class of objective functions, related to the Cox partial likelihood, that generates unbiased estimating equations is proposed. These equations allow for estimation of interest parameters when nuisance parameters are proportional to expectations.
openaire   +1 more source

Hypoalbuminaemia predicts outcome in adult patients with congenital heart disease [PDF]

open access: yes, 2015
Background In patients with acquired heart failure, hypoalbuminaemia is associated with increased risk of death. The prevalence of hypoproteinaemia and hypoalbuminaemia and their relation to outcome in adult patients with congenital heart disease (ACHD ...
Alonso-Gonzalez, R   +11 more
core   +1 more source

Modeling of Xerostomia After Radiotherapy for Head and Neck Cancer: A Registry Study

open access: yesFrontiers in Oncology, 2020
AimData from a local quality registry are used to model the risk of late xerostomia after radiotherapy for head and neck cancer (HNC), based on dosimetric- and clinical variables.
Eva Onjukka   +14 more
doaj   +1 more source

Cox Point Process Regression [PDF]

open access: yesIEEE Transactions on Information Theory, 2022
Point processes in time have a wide range of applications that include the claims arrival process in insurance or the analysis of queues in operations research. Due to advances in technology, such samples of point processes are increasingly encountered. A key object of interest is the local intensity function.
Alvaro Gajardo, Hans-Georg Muller
openaire   +2 more sources

Regression calibration for Cox regression under heteroscedastic measurement error - Determining risk factors of cardiovascular diseases from error-prone nutritional replication data [PDF]

open access: yes, 2003
For instance nutritional data are often subject to severe measurement error, and an adequate adjustment of the estimators is indispensable to avoid deceptive conclusions.
Augustin, Thomas   +2 more
core   +2 more sources

Hypotension and survival: diagnostic criteria in Russian and United States population

open access: yesРоссийский кардиологический журнал, 2021
Aim. Based on Russian and United States population studies, to determine the criterion for distinguishing between normal and low blood pressure (BP), which is the most significant for predicting all-cause mortality.Material and methods. We used data from
V. G. Vilkov   +4 more
doaj   +1 more source

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