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Multivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosis

Nature - 04 Mar 2025
Multivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosis ...

Gradient Boosting Regression Using C#

Visual Studio Magazine - 15 Jan 2025
Gradient Boosting Regression Using C# ...

Sklearn Regression Models : Methods and Categories | Sklearn Tutorial

Simplilearn.com - 10 May 2025
Sklearn Regression Models : Methods and Categories | Sklearn Tutorial ...

Probabilistic Traffic Forecasting with Dynamic Regression

INFORMS PubsOnline - 08 Apr 2025
Probabilistic Traffic Forecasting with Dynamic Regression ...

The Age of Regression

Jacobin - 24 Mar 2025
The Age of Regression ...

‘Alarming regression’ in path to peace in South Sudan, UN commission warns

Al Jazeera - 08 Mar 2025
‘Alarming regression’ in path to peace in South Sudan, UN commission warns ...

The proper application of logistic regression model in complex survey data: a systematic review

BMC Medical Research Methodology - 22 Jan 2025
The proper application of logistic regression model in complex survey data: a systematic review ...

Firth‐Type Penalized Methods of the Modified Poisson and Least‐Squares Regression Analyses for Binary Outcomes

Wiley Online Library - 14 Oct 2024
Firth‐Type Penalized Methods of the Modified Poisson and Least‐Squares Regression Analyses for Binary Outcomes ...

First report on regression-based QSAR addressing pesticide dissipation half-life in plants: A step towards sustainable public health

ScienceDirect.com - 01 Dec 2024
First report on regression-based QSAR addressing pesticide dissipation half-life in plants: A step towards sustainable public health ...

Predicting construction waste in Egyptian residential projects: a robust multiple regression model approach

Nature - 23 Jan 2025
Predicting construction waste in Egyptian residential projects: a robust multiple regression model approach ...

Robust estimation methods for addressing multicollinearity and outliers in beta regression models

Nature - 04 Apr 2025
Robust estimation methods for addressing multicollinearity and outliers in beta regression models ...

Logistics demand prediction using fuzzy support vector regression machine based on Adam optimization

Nature - 10 Feb 2025
Logistics demand prediction using fuzzy support vector regression machine based on Adam optimization ...

Logistic regression analysis of risk factors for anxiety and depression in patients with coronary heart disease and subclinical hypothyroidism

Nature - 13 Nov 2024
Logistic regression analysis of risk factors for anxiety and depression in patients with coronary heart disease and subclinical hypothyroidism ...

Household fuel use and the regression from prehypertension to normotension among Chinese middle-aged and older adults: a cohort study

Nature - 03 Oct 2024
Household fuel use and the regression from prehypertension to normotension among Chinese middle-aged and older adults: a cohort study ...

Multivariable regression models improve accuracy and sensitive grading of antibiotic resistance mutations in Mycobacterium tuberculosis

Gradient Boosting Regression Using C#

Sklearn Regression Models : Methods and Categories | Sklearn Tutorial

Probabilistic Traffic Forecasting with Dynamic Regression

The Age of Regression

‘Alarming regression’ in path to peace in South Sudan, UN commission warns

The proper application of logistic regression model in complex survey data: a systematic review

Firth‐Type Penalized Methods of the Modified Poisson and Least‐Squares Regression Analyses for Binary Outcomes

First report on regression-based QSAR addressing pesticide dissipation half-life in plants: A step towards sustainable public health

Predicting construction waste in Egyptian residential projects: a robust multiple regression model approach

Robust estimation methods for addressing multicollinearity and outliers in beta regression models

Logistics demand prediction using fuzzy support vector regression machine based on Adam optimization

Logistic regression analysis of risk factors for anxiety and depression in patients with coronary heart disease and subclinical hypothyroidism

Household fuel use and the regression from prehypertension to normotension among Chinese middle-aged and older adults: a cohort study

Wind power data cleaning using RANSAC-based polynomial and linear regression with adaptive threshold

CLARE-XR: explainable regression-based classification of chest radiographs with label embeddings

Stable Cox regression for survival analysis under distribution shifts

Deep regression analysis for enhanced thermal control in photovoltaic energy systems

Support vector regression model for the prediction of buildings’ maximum seismic response based on real monitoring data

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