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: Dynamic Regression Models for Survival Data; Torben Martinussen,Thomas H. Scheike Book 2006 Springer-Verlag New York 2006 Counting.Resampl

[復(fù)制鏈接]
查看: 23383|回復(fù): 35
樓主
發(fā)表于 2025-3-21 19:46:33 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Dynamic Regression Models for Survival Data
編輯Torben Martinussen,Thomas H. Scheike
視頻videohttp://file.papertrans.cn/284/283737/283737.mp4
概述A key issue in this book is extensions of the Cox model and alternative models with most of them having the specific aim to be able to deal with time-varying effects of covariates in regression analys
叢書名稱Statistics for Biology and Health
圖書封面Titlebook: Dynamic Regression Models for Survival Data;  Torben Martinussen,Thomas H. Scheike Book 2006 Springer-Verlag New York 2006 Counting.Resampl
描述.In survival analysis there has long been a need for models that goes beyond the Cox model as the proportional hazards assumption often fails in practice. This book studies and applies modern flexible regression models for survival data with a special focus on extensions of the Cox model and alternative models with the specific aim of describing time-varying effects of explanatory variables. One model that receives special attention is Aalen’s additive hazards model that is particularly well suited for dealing with time-varying effects. The book covers the use of residuals and resampling techniques to assess the fit of the models and also points out how the suggested models can be utilised for clustered survival data. The authors demonstrate the practically important aspect of how to do hypothesis testing of time-varying effects making backwards model selection strategies possible for the flexible models considered...The use of the suggested models and methods is illustrated on real data examples. The methods are available in the R-package timereg developed by the authors, which is applied throughout the book with worked examples for the data sets. This gives the reader a unique ch
出版日期Book 2006
關(guān)鍵詞Counting; Resampling; Statistica; cluster; counting process; permutation tests; point process; selection; se
版次1
doihttps://doi.org/10.1007/0-387-33960-4
isbn_softcover978-1-4419-1904-5
isbn_ebook978-0-387-33960-3Series ISSN 1431-8776 Series E-ISSN 2197-5671
issn_series 1431-8776
copyrightSpringer-Verlag New York 2006
The information of publication is updating

書目名稱Dynamic Regression Models for Survival Data影響因子(影響力)




書目名稱Dynamic Regression Models for Survival Data影響因子(影響力)學(xué)科排名




書目名稱Dynamic Regression Models for Survival Data網(wǎng)絡(luò)公開度




書目名稱Dynamic Regression Models for Survival Data網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Dynamic Regression Models for Survival Data被引頻次




書目名稱Dynamic Regression Models for Survival Data被引頻次學(xué)科排名




書目名稱Dynamic Regression Models for Survival Data年度引用




書目名稱Dynamic Regression Models for Survival Data年度引用學(xué)科排名




書目名稱Dynamic Regression Models for Survival Data讀者反饋




書目名稱Dynamic Regression Models for Survival Data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 21:49:38 | 只看該作者
1431-8776 with time-varying effects of covariates in regression analys.In survival analysis there has long been a need for models that goes beyond the Cox model as the proportional hazards assumption often fails in practice. This book studies and applies modern flexible regression models for survival data wit
板凳
發(fā)表于 2025-3-22 03:01:42 | 只看該作者
https://doi.org/10.1007/0-387-33960-4Counting; Resampling; Statistica; cluster; counting process; permutation tests; point process; selection; se
地板
發(fā)表于 2025-3-22 04:43:29 | 只看該作者
5#
發(fā)表于 2025-3-22 09:20:47 | 只看該作者
6#
發(fā)表于 2025-3-22 13:24:38 | 只看該作者
Statistics for Biology and Healthhttp://image.papertrans.cn/e/image/283737.jpg
7#
發(fā)表于 2025-3-22 20:55:18 | 只看該作者
8#
發(fā)表于 2025-3-23 00:27:33 | 只看該作者
Accelerated failure time and transformation models,
9#
發(fā)表于 2025-3-23 03:25:00 | 只看該作者
10#
發(fā)表于 2025-3-23 08:01:26 | 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(diǎn)評 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-9 05:30
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
大悟县| 通榆县| 威信县| 钦州市| 盐城市| 三原县| 丰台区| 泰州市| 沂源县| 恩施市| 石城县| 开原市| 麻城市| 南汇区| 垣曲县| 云浮市| 蓬安县| 信丰县| 易门县| 高邮市| 沈丘县| 东乌珠穆沁旗| 治多县| 昔阳县| 泗洪县| 永顺县| 古浪县| 广宁县| 曲沃县| 镇雄县| 华宁县| 江城| 五河县| 顺平县| 集贤县| 鹰潭市| 凌源市| 旅游| 唐海县| 抚宁县| 隆德县|