Analyzing the Death Ratio of Covid Patients using Multiple Logistic Regression in Comparison with Lasso Regression for Improving Accuracy

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The group lasso for logistic regression

The group lasso is an extension of the lasso to do variable selection on (predefined) groups of variables in linear regression models. The estimates have the attractive property of being invariant under groupwise orthogonal reparameterizations. We extend the group lasso to logistic regression models and present an efficient algorithm, that is especially suitable for high dimensional problems, w...

متن کامل

Multiple Logistic Regression and Model Fit Multiple Logistic Regression Just as in OLS regression, logistic models

Multiple Logistic Regression Just as in OLS regression, logistic models can include more than one predictor. The analysis options are similar to regression. One can choose to select variables, as with a stepwise procedure, or one can enter the predictors simultaneously, or they can be entered in blocks. Variations of the likelihood ratio test can be conducted in which the chi-square test (G) is...

متن کامل

Mining the WHO Drug Safety Database Using Lasso Logistic Regression

For reasons such as low incidence, occurrence in groups frequently excluded from clinical trials and long onset times, some adverse drug reactions (ADRs) of a new medicinal product stay unnoticed until after market launch. The World Health Organization (WHO) in collaboration with the Uppsala Monitoring Centre (UMC) continuously collect spontaneous ADR reports from the entire world and use data ...

متن کامل

Large Unbalanced Credit Scoring Using Lasso-Logistic Regression Ensemble

Recently, various ensemble learning methods with different base classifiers have been proposed for credit scoring problems. However, for various reasons, there has been little research using logistic regression as the base classifier. In this paper, given large unbalanced data, we consider the plausibility of ensemble learning using regularized logistic regression as the base classifier to deal...

متن کامل

Continuous outcome logistic regression for analyzing body

Body mass indices (BMIs) are applied to monitor weight status and associated health risks in populations. Binary or multinomial logistic regression models are commonly applied in this context, but are only applicable to BMI values categorized within a small set of defined ad hoc BMI categories. This approach precludes comparisons with studies and models based on different categories. In addit...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Pharmaceutical Negative Results

سال: 2022

ISSN: ['0976-9234', '2229-7723']

DOI: https://doi.org/10.47750/pnr.2022.13.s04.003