scroll to top
0

EBSCO Auth Banner

Let's find your institution. Click here.

Advanced Search Results For "LOGISTICS"

1 - 10 of 463,252 results for
 "LOGISTICS"
Results per page:

Distance-based logistic model for cross-classified categorical data.

Publication Type: Academic Journal

Source(s): The British journal of mathematical and statistical psychology [Br J Math Stat Psychol] 2022 Nov; Vol. 75 (3), pp. 466-492. Date of Electronic Publication: 2022 Jan 25.

Authors:

Abstract: Logistic regression models are a powerful research tool for the analysis of cross-classified data in which a categorical response variable is involved. In a logistic model, the effect of a covariate refers to odds, and the simple relationship between t...

View details

The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression.

Publication Type: Academic Journal

Source(s): Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2022 Aug 16; Vol. 29 (9), pp. 1525-1534.

Abstract: Objective: Methods to correct class imbalance (imbalance between the frequency of outcome events and nonevents) are receiving increasing interest for developing prediction models. We examined the effect of imbalance correction on the performance of log...

View details

Logistic regression models for patient-level prediction based on massive observational data: Do we need all data?

Publication Type: Academic Journal

Source(s): International journal of medical informatics [Int J Med Inform] 2022 Jul; Vol. 163, pp. 104762. Date of Electronic Publication: 2022 Apr 12.

Abstract: Objective: Provide guidance on sample size considerations for developing predictive models by empirically establishing the adequate sample size, which balances the competing objectives of improving model performance and reducing model complexity as wel...

View details

The polytomous discrimination index for prediction involving multistate processes under intermittent observation.

Publication Type: Academic Journal

Source(s): Statistics in medicine [Stat Med] 2022 Aug 30; Vol. 41 (19), pp. 3661-3678. Date of Electronic Publication: 2022 May 20.

Authors:

Abstract: With the increasing importance of predictive modeling in health research comes the need for methods to rigorously assess predictive accuracy. We consider the problem of evaluating the accuracy of predictive models for nominal outcomes when outcome data...

View details

Logistic regression with more than two categories.

Publication Type: Academic Journal

Source(s): Tidsskrift for den Norske laegeforening : tidsskrift for praktisk medicin, ny raekke [Tidsskr Nor Laegeforen] 2022 Jun 23; Vol. 142 (10). Date of Electronic Publication: 2022 Jun 23 (Print Publication: 2022).

Authors:
View details

Goodness-of-fit tests for a logistic regression model with missing covariates.

Publication Type: Academic Journal

Source(s): Statistical methods in medical research [Stat Methods Med Res] 2022 Jun; Vol. 31 (6), pp. 1031-1050. Date of Electronic Publication: 2022 Mar 29.

Authors:

Abstract: Model checking for logistic regression with covariates missing at random is considered. Based on the ideas of Copas (1989) and Osius and Rojek (1992) and studies of Homser et al. (1997), proposed are the two-type goodness-of-fit tests, Pearson chi-squa...

View details

A noble extended stochastic logistic model for cell proliferation with density-dependent parameters.

Publication Type: Academic Journal

Source(s): Scientific reports [Sci Rep] 2022 May 30; Vol. 12 (1), pp. 8998. Date of Electronic Publication: 2022 May 30.

Authors:

Abstract: Cell proliferation often experiences a density-dependent intrinsic proliferation rate (IPR) and negative feedback from growth-inhibiting molecules in culture media. The lack of flexible models with explanatory parameters fails to capture such a prolife...

View details

A Comparison of Methods to Detect Changes in Prediction Models.

Publication Type: Academic Journal

Source(s): Methods of information in medicine [Methods Inf Med] 2022 May; Vol. 61 (1-02), pp. 19-28. Date of Electronic Publication: 2022 Feb 12.

Abstract: Background: Prediction models inform decisions in many areas of medicine. Most models are fitted once and then applied to new (future) patients, despite the fact that model coefficients can vary over time due to changes in patients' clinical characteri...

View details

Conditional or unconditional logistic regression for frequency matched case-control design?

Publication Type: Academic Journal

Source(s): Statistics in medicine [Stat Med] 2022 Mar 15; Vol. 41 (6), pp. 1023-1041. Date of Electronic Publication: 2022 Jan 23.

Authors:

Abstract: Frequency matching is commonly used in epidemiological case control studies to balance the distributions of the matching factors between the case and control groups and to improve the efficiency of case-control designs. Applied researchers have held a ...

View details

Gradient boosting approaches can outperform logistic regression for risk prediction in cutaneous allergy.

Publication Type: Academic Journal

Source(s): Contact dermatitis [Contact Dermatitis] 2022 Mar; Vol. 86 (3), pp. 165-174. Date of Electronic Publication: 2021 Dec 23.

Abstract: Background: Contact allergy is a major clinical and public health challenge. It is important to identify individuals who are at risk and perform patch testing to identify relevant allergens. Predicting clinical risk on the basis of input parameters is ...

View details
sponsored