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: Analysis of Multivariate Survival Data; Philip Hougaard Book 2000 Springer-Verlag New York, Inc. 2000 Multivariate Survival Data.STATISTIC

[復(fù)制鏈接]
樓主: T-Lymphocyte
21#
發(fā)表于 2025-3-25 05:55:03 | 只看該作者
https://doi.org/10.1007/978-3-030-04076-5ns for the groups. It could serve as a baseline for evaluating the fit of more specific models. In principle, it allows for assessment of the dependence, but it may be inefficient compared to a fully parametric or semi-parametric estimate.
22#
發(fā)表于 2025-3-25 10:10:19 | 只看該作者
Dependence structures,ail. In particular, with censored data, the assumed model for the dependence can have a major importance for the estimated degree of dependence, because the model for dependence for the period with data will extrapolate into the time period where all individuals are censored.
23#
發(fā)表于 2025-3-25 15:42:34 | 只看該作者
Multivariate non-parametric estimates,ns for the groups. It could serve as a baseline for evaluating the fit of more specific models. In principle, it allows for assessment of the dependence, but it may be inefficient compared to a fully parametric or semi-parametric estimate.
24#
發(fā)表于 2025-3-25 18:25:39 | 只看該作者
Multivariate frailty models,econdly, combining subgroups with different degrees of dependence in a single model, for example, monozygotic and dizygotic twins, is difficult in a shared frailty model. Furthermore, this extension can be an improvement for the consideration of effects of covariates in frailty models.
25#
發(fā)表于 2025-3-25 21:44:27 | 只看該作者
Summary,nt to include a description of the advantages and disadvantages of each single approach. Finally, a more subtle aim is to put all the approaches in a common frame and also describe the similarities between the various data types and approaches.
26#
發(fā)表于 2025-3-26 03:10:38 | 只看該作者
27#
發(fā)表于 2025-3-26 07:14:19 | 只看該作者
Absolute Poverty in European Welfare StatesThe overall purpose of this book is to present four approaches to handle multivariate survival data, but before doing that we start by clarifying the concepts both for simple survival data and multivariate survival data.
28#
發(fā)表于 2025-3-26 12:04:56 | 只看該作者
29#
發(fā)表于 2025-3-26 14:07:10 | 只看該作者
30#
發(fā)表于 2025-3-26 20:09:19 | 只看該作者
Introduction,The overall purpose of this book is to present four approaches to handle multivariate survival data, but before doing that we start by clarifying the concepts both for simple survival data and multivariate survival data.
 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(píng) 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, 2025-10-12 05:15
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
昭平县| 南丹县| 乐都县| 成都市| 罗定市| 淄博市| 蓝山县| 津南区| 靖州| 贡山| 黄梅县| 巩留县| 新乡县| 太保市| 包头市| 吉安市| 柏乡县| 蒙自县| 齐河县| 西贡区| 拉萨市| 绍兴县| 呼和浩特市| 虹口区| 麟游县| 龙岩市| 万荣县| 浠水县| 邹平县| 怀安县| 渝北区| 宾川县| 和平区| 沂南县| 蓬安县| 伊吾县| 蓝田县| 安康市| 永年县| 邛崃市| 吉安县|