Sample size considerations and predictive performance of multinomial logistic prediction models
نویسندگان
چکیده
منابع مشابه
Sample size determination for logistic regression
The problem of sample size estimation is important in medical applications, especially in cases of expensive measurements of immune biomarkers. This paper describes the problem of logistic regression analysis with the sample size determination algorithms, namely the methods of univariate statistics, logistics regression, cross-validation and Bayesian inference. The authors, treating the regr...
متن کاملImportant considerations in calculating and reporting of sample size in randomized controlled trials
Background: The calculation of the sample size is one of the most important steps in designing a randomized controlled trial. The purpose of this study is drawing the attention of researchers to the importance of calculating and reporting the sample size in randomized controlled trials. Methods: We reviewed related literature and guidelines and discussed some important issues in s...
متن کاملMultinomial Logistic Regression Applied on Software Productivity Prediction
In software cost estimation various methods have been proposed to yield a prediction of the productivity of a software project. Most of the methods produce point estimates. However, in practice it is more realistic and useful to have a method providing interval predictions. Although some methods accompany a point estimate with a prediction interval, it is also reasonable to use a method predict...
متن کاملMultinomial logistic regression
Multinomial logistic regression is the extension for the (binary) logistic regression when the categorical dependent outcome has more than two levels. For example, instead of predicting only dead or alive, we may have three groups, namely: dead, lost to follow-up, and alive. In the analysis to follow, a reference group has to be chosen for comparison, the appropriate group would be the alive, i...
متن کاملSample Size Bayesian Estimation for Logistic Regression
The problem of sample size estimation is important in the medical applications, especially in the cases of expensive measurements of immune biomarkers. The papers describes the problem of logistic regression analysis including model feature selection and includes the sample size determination algorithms, namely methods of univariate statistics, logistics regression, cross-validation and Bayesia...
متن کاملذخیره 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: Statistics in Medicine
سال: 2019
ISSN: 0277-6715,1097-0258
DOI: 10.1002/sim.8063