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: Design of Observational Studies; Paul R. Rosenbaum Book 2020Latest edition Springer Nature Switzerland AG 2020 Analysis.Causal inference.S

[復(fù)制鏈接]
查看: 33679|回復(fù): 57
樓主
發(fā)表于 2025-3-21 16:16:19 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Design of Observational Studies
編輯Paul R. Rosenbaum
視頻videohttp://file.papertrans.cn/269/268747/268747.mp4
概述Introduces the concepts of causal inference in experiments and observational studies using elementary mathematics.Presents many examples and with reference to implementation in R.Discusses design sens
叢書名稱Springer Series in Statistics
圖書封面Titlebook: Design of Observational Studies;  Paul R. Rosenbaum Book 2020Latest edition Springer Nature Switzerland AG 2020 Analysis.Causal inference.S
描述.This second edition of?.Design of Observational Studies.?is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design.?..Design of Observational Studies.?is organized into five parts. Chapters 2, 3, and 5 of Part I cover concisely many of the ideas discussed in Rosenbaum’s?.Observational Studies.?(also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates, and includes an updated chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of
出版日期Book 2020Latest edition
關(guān)鍵詞Analysis; Causal inference; Statistical Inference; natural experiment; observational study; propensity sc
版次2
doihttps://doi.org/10.1007/978-3-030-46405-9
isbn_softcover978-3-030-46407-3
isbn_ebook978-3-030-46405-9Series ISSN 0172-7397 Series E-ISSN 2197-568X
issn_series 0172-7397
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

書目名稱Design of Observational Studies影響因子(影響力)




書目名稱Design of Observational Studies影響因子(影響力)學(xué)科排名




書目名稱Design of Observational Studies網(wǎng)絡(luò)公開度




書目名稱Design of Observational Studies網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Design of Observational Studies被引頻次




書目名稱Design of Observational Studies被引頻次學(xué)科排名




書目名稱Design of Observational Studies年度引用




書目名稱Design of Observational Studies年度引用學(xué)科排名




書目名稱Design of Observational Studies讀者反饋




書目名稱Design of Observational Studies讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

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 20:40:38 | 只看該作者
Book 2020Latest editionical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates, and includes an updated chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of
板凳
發(fā)表于 2025-3-22 00:25:08 | 只看該作者
A Journey Through Entrepreneurshiptrol groups that appear comparable in terms of a specific list of measured covariates—groups that are ostensibly comparable—may nonetheless differ in terms of covariates that were not measured. Though not discussed in the current chapter, the important issue of unmeasured covariates in this example
地板
發(fā)表于 2025-3-22 07:31:53 | 只看該作者
5#
發(fā)表于 2025-3-22 12:08:11 | 只看該作者
6#
發(fā)表于 2025-3-22 14:40:57 | 只看該作者
The Power of a Sensitivity Analysis and Its Limitr in large samples of a sensitivity analysis is used to judge the ability of design features, such as those in Chap. ., to distinguish treatment effects from bias due to unmeasured covariates. As the sample size increases, the limit of the power of a sensitivity analysis is a step function with a si
7#
發(fā)表于 2025-3-22 20:59:58 | 只看該作者
Book 2020Latest editioncussion of the principles that guide the design of observational studies. An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatment
8#
發(fā)表于 2025-3-22 22:17:03 | 只看該作者
0172-7397 with reference to implementation in R.Discusses design sens.This second edition of?.Design of Observational Studies.?is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. An observational
9#
發(fā)表于 2025-3-23 02:45:48 | 只看該作者
Cosmopolitan Gentlemen of Sciencee are comparable. The second model speaks to a central concern in observational studies: people who look comparable in the observed data may not actually be comparable; they may differ in ways we did not observe.
10#
發(fā)表于 2025-3-23 06:22:36 | 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, 2025-10-13 17:24
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
通城县| 绥德县| 防城港市| 孝昌县| 孟津县| 松原市| 瑞丽市| 临朐县| 肥乡县| 阜阳市| 广汉市| 精河县| 成武县| 长寿区| 新密市| 姜堰市| 平阴县| 博兴县| 虞城县| 溆浦县| 进贤县| 泰宁县| 荥阳市| 双江| 涞源县| 阳西县| 青州市| 台南县| 志丹县| 乃东县| 西峡县| 晋州市| 巫山县| 荔浦县| 永寿县| 准格尔旗| 原阳县| 澳门| 清苑县| 礼泉县| 志丹县|