СибНСХБ

Вид поиска

Область поиска

Найдено в других БД

Формат представления найденных документов:
библиографическое описание	краткий	полный

Отсортировать найденные документы по:
автору	заглавию	году издания	типу документа

Поисковый запрос: (<.>S=ЛОГИСТИЧЕСКАЯ РЕГРЕССИОННАЯ МОДЕЛЬ<.>)

Общее количество найденных документов : 2
Показаны документы с 1 по 2

РЖ ВИНИТИ 34 (BI38) 96.07-04А3.477

Hosmer, David W.
Confidence interval estimates of an index of quality performance based on logistic regression models [Text] / David W. Hosmer, Stanley Lemeshow // Statist. Med. - 1995. - Vol. 14, N 19. - P2161-2172 . - ISSN 0277-6715
Перевод заглавия: Оценка доверительных интервалов для индекса качества работы, основанная на логистической регрессионной модели
Аннотация: This paper considers an index of hospital quality performance defined as the ratio of the observed number deaths to the number predicted by a fitted logistic regression model. We study tests and confidence intervals under two different scenarios depending on the availability of an estimate of the covariance matrix of the coefficients from the fitted logistic regression model. We propose parametric as well as bootstrap-based confidence intervals. We apply the methods to an analysis of the performance of 27 intensive care units. США, School of Public Health, Univ. of Massachusetts, Amherst, MA 01003. Библ. 17

ГРНТИ	34.05.25

ВИНИТИ 341.05.25.09.13 + 761.03.59.09.29.99
Рубрики: БИОМЕТРИЯ
ЛЕЧЕБНЫЕ УЧРЕЖДЕНИЯ
КАЧЕСТВО РАБОТЫ
ОЦЕНКА
ИНДЕКС
ЛОГИСТИЧЕСКАЯ РЕГРЕССИОННАЯ МОДЕЛЬ

Доп.точки доступа:
Lemeshow, Stanley

РЖ ВИНИТИ 34 (BI38) 97.11-04А3.436

A comparison of goodness-of-fit tests for the logistic regression model [Text] / D. W. Hosmer [et al.] // Statist. Med. - 1997. - Vol. 16, N 9. - P965-980 . - ISSN 0277-6715
Перевод заглавия: Сравнение критериев подгонки для логистической регрессионной модели
Аннотация: Recent work has shown that there may be disadvantages in the use of the chi-square-like goodness-of-fit tests for the logistic regression model proposed by Hosmer and Lemeshow that use fixed groups of the estimated probabilities. A particular concern with these grouping strategies based on estimated probabilities, fitted values, is that groups may contain subjects with widely different values of the covariates. It is possible to demonstrate situations where one set of fixed groups shows the model fits while the test rejects fit using a different set of fixed groups. We compare the performance by simulation of these tests to tests based on smoothed residuals proposed by le Cessie and Van Houwelingen and Royston, a score test for an extended logistic regression model proposed by Stukel, the Pearson chi-square and the unweighted residual sum-of-squares. These simulations demonstrate that all but one of Royston's tests have the correct size. An examination of the performance of the tests when the correct model has a quadratic term but a model containing only the linear term has been fit shows that the Pearson chi-square, the unweighted sum-of-squares, the Hosmer-Lemeshow decile of risk, the smoothed residual sum-of-squares and Stukel's score test, have powder exceeding 50 per cent to detect moderate departures from linearity when the sample size is 100 and have power over 90 per cent for these same alternatives for samples of size 500. All tests had no power when the correct model had an interaction between a dichotomous and continuous covariate but only the continuous covariate model was fit. Power to detect an incorrectly specified link was poor for samples of size 100. For samples of size 500 Stukel's score test had the best power but it only exceeded 50 per cent to detect an asymmetric link function. The power of the unweighted sum-of-squares test to detect an incorrectly specified link function was slightly less than Stukel's score test. We illustrate the tests within the context of a model for factors associated with low birth weight. США, Dep. of Biostatistics and Epidemiology, Univ. of Massachusetts, Arnold House, Box 30430, Amherst, MA 01004-0430. Табл. 7. Библ. 24

ГРНТИ	34.05.25

ВИНИТИ 341.05.25.09.13
Рубрики: БИОМЕТРИЯ
ЛОГИСТИЧЕСКАЯ РЕГРЕССИОННАЯ МОДЕЛЬ
КРИТЕРИИ ПОДГОНКИ

Доп.точки доступа:
Hosmer, D.W.; Hosmer, T.; Le, Cessie S.; Lemeshow, S.

"Электронные каталоги и базы данных библиотек СО РАН"

© Международная Ассоциация пользователей и разработчиков электронных библиотек и новых информационных технологий
(Ассоциация ЭБНИТ)

rtvarBDview(" результаты поиска","20190607010228","4682442");

Вид поиска