找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Logistic Regression; A Self-Learning Text David G. Kleinbaum,Mitchel Klein Textbook 2010Latest edition Springer Science+Business Media, LLC

[復(fù)制鏈接]
查看: 17403|回復(fù): 55
樓主
發(fā)表于 2025-3-21 19:43:17 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Logistic Regression
副標(biāo)題A Self-Learning Text
編輯David G. Kleinbaum,Mitchel Klein
視頻videohttp://file.papertrans.cn/589/588245/588245.mp4
概述Includes supplementary material:
叢書名稱Statistics for Biology and Health
圖書封面Titlebook: Logistic Regression; A Self-Learning Text David G. Kleinbaum,Mitchel Klein Textbook 2010Latest edition Springer Science+Business Media, LLC
描述This is the third edition of this text on logistic regression methods, originally published in 1994, with its second e- tion published in 2002. As in the first two editions, each chapter contains a pres- tation of its topic in “l(fā)ecture?book” format together with objectives, an outline, key formulae, practice exercises, and a test. The “l(fā)ecture book” has a sequence of illust- tions, formulae, or summary statements in the left column of each page and a script (i. e. , text) in the right column. This format allows you to read the script in conjunction with the illustrations and formulae that highlight the main points, formulae, or examples being presented. This third edition has expanded the second edition by adding three new chapters and a modified computer appendix. We have also expanded our overview of mod- ing strategy guidelines in Chap. 6 to consider causal d- grams. The three new chapters are as follows: Chapter 8: Additional Modeling Strategy Issues Chapter 9: Assessing Goodness of Fit for Logistic Regression Chapter 10: Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves In adding these three chapters, we have moved Chaps. 8 through 13 from the second
出版日期Textbook 2010Latest edition
關(guān)鍵詞Computerassistierte Detektion; Likelihood; Logistic Regression; SAS; SPSS; Statistical Inference; best fit
版次3
doihttps://doi.org/10.1007/978-1-4419-1742-3
isbn_softcover978-1-4939-3697-7
isbn_ebook978-1-4419-1742-3Series ISSN 1431-8776 Series E-ISSN 2197-5671
issn_series 1431-8776
copyrightSpringer Science+Business Media, LLC 2010
The information of publication is updating

書目名稱Logistic Regression影響因子(影響力)




書目名稱Logistic Regression影響因子(影響力)學(xué)科排名




書目名稱Logistic Regression網(wǎng)絡(luò)公開度




書目名稱Logistic Regression網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Logistic Regression被引頻次




書目名稱Logistic Regression被引頻次學(xué)科排名




書目名稱Logistic Regression年度引用




書目名稱Logistic Regression年度引用學(xué)科排名




書目名稱Logistic Regression讀者反饋




書目名稱Logistic Regression讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 21:46:06 | 只看該作者
板凳
發(fā)表于 2025-3-22 00:33:00 | 只看該作者
地板
發(fā)表于 2025-3-22 08:34:21 | 只看該作者
5#
發(fā)表于 2025-3-22 10:39:22 | 只看該作者
6#
發(fā)表于 2025-3-22 15:21:25 | 只看該作者
Analysis of Matched Data Using Logistic Regression,stratification to carry out a matched analysis. Our primary focus is on case-control studies. We then introduce the logistic model for matched data and describe the corresponding odds ratio formula. We illustrate the use of logistic regression with an application that involves matching as well as co
7#
發(fā)表于 2025-3-22 19:27:30 | 只看該作者
Polytomous Logistic Regression,n is used when the categories of the outcome variable are nominal, that is, they do not have any natural order. When the categories of the outcome variable do have a natural order, ordinal logistic regression may also be appropriate.
8#
發(fā)表于 2025-3-23 00:46:41 | 只看該作者
Logistic Regression for Correlated Data: GEE,d for modeling this type of data is the generalized estimating equations (GEE) model, which takes into account the correlated nature of the responses. If such correlations are ignored in the modeling process, then incorrect inferences may result.
9#
發(fā)表于 2025-3-23 04:07:38 | 只看該作者
GEE Examples,dds ratios, construct confidence intervals, and perform statistical tests on the regression coefficients. The examples also illustrate the effect of selecting different correlation structures for a GEE model applied to the same data, and compare the results from the GEE approach with a standard logi
10#
發(fā)表于 2025-3-23 07:46:18 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-9 12:23
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
石景山区| 文化| 洛川县| 呼玛县| 白玉县| 沈阳市| 汝阳县| 郁南县| 泾川县| 荃湾区| 巴塘县| 南汇区| 韩城市| 楚雄市| 莱州市| 准格尔旗| 内黄县| 绍兴县| 白银市| 武隆县| 珲春市| 孟村| 濮阳县| 定日县| 庆云县| 阿拉善左旗| 台江县| 武义县| 团风县| 甘德县| 普兰店市| 龙游县| 柘城县| 湄潭县| 嘉善县| 绿春县| 娄烦县| 镇平县| 孝感市| 确山县| 徐闻县|