書目名稱Statistical Methods for Dynamic Treatment Regimes影響因子(影響力)學(xué)科排名
書目名稱Statistical Methods for Dynamic Treatment Regimes網(wǎng)絡(luò)公開度
書目名稱Statistical Methods for Dynamic Treatment Regimes網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Statistical Methods for Dynamic Treatment Regimes被引頻次
書目名稱Statistical Methods for Dynamic Treatment Regimes被引頻次學(xué)科排名
書目名稱Statistical Methods for Dynamic Treatment Regimes年度引用
書目名稱Statistical Methods for Dynamic Treatment Regimes年度引用學(xué)科排名
書目名稱Statistical Methods for Dynamic Treatment Regimes讀者反饋
書目名稱Statistical Methods for Dynamic Treatment Regimes讀者反饋學(xué)科排名
作者: 訓(xùn)誡 時間: 2025-3-21 22:18
Textbook 2013amiliarity with elementary calculus, linear algebra, and basic large-sample theory to use this text. Throughout the text, authors direct readers to available code or packages in different statistical languages to facilitate implementation. In cases where code does not already exist, the authors prov作者: 受人支配 時間: 2025-3-22 03:14
978-1-4899-9030-3Springer Science+Business Media New York 2013作者: PURG 時間: 2025-3-22 07:20
Statistical Methods for Dynamic Treatment Regimes978-1-4614-7428-9Series ISSN 1431-8776 Series E-ISSN 2197-5671 作者: nocturnal 時間: 2025-3-22 12:27 作者: 芳香一點(diǎn) 時間: 2025-3-22 15:37
Estimation of DTRs for Alternative Outcome Types,In this chapter, we consider the estimation of dynamic treatment regimes for a variety of outcome types, including multi-dimensional continuous outcomes, time-to-event outcomes in the presence of censoring, and discrete outcomes. Methods discussed include Q-learning, marginal structural models, and a fully parametric, likelihood-based approach.作者: 來自于 時間: 2025-3-22 17:12
Additional Considerations and Final Thoughts,The statistical study of DTRs and associated methods of estimation is a young and growing field. As such, there are many topics which are only beginning to be explored. In this chapter, we point to some new developments and areas of research in the field.作者: mastopexy 時間: 2025-3-22 21:27 作者: abduction 時間: 2025-3-23 01:21 作者: 紀(jì)念 時間: 2025-3-23 07:44 作者: 微生物 時間: 2025-3-23 12:02 作者: 胖人手藝好 時間: 2025-3-23 15:17
1431-8776 oaches to the development of dynamic treatment regime models.Statistical Methods for Dynamic Treatment Regimes. shares state of the art of statistical methods developed to address questions of estimation and inference for dynamic treatment regimes, a branch of personalized medicine. This volume demo作者: foodstuff 時間: 2025-3-23 21:02 作者: 盡管 時間: 2025-3-23 22:23 作者: relieve 時間: 2025-3-24 04:33
Statistical Reinforcement Learning,sequence of treatments. This problem bears strong resemblance to the problem of reinforcement learning in computer science, a branch of machine learning that deals with the problem of multi-stage, sequential decision making by a learning agent. In this chapter, we review the necessary concepts of re作者: 法官 時間: 2025-3-24 09:01 作者: Grasping 時間: 2025-3-24 12:56
Estimation of Optimal DTRs by Directly Modeling Regimes,ling the conditional mean outcome: inverse probability of treatment weighting, marginal structural models, and classification-based methods. The fundamental difference between the approaches considered in the current chapter and those considered in previous chapters (e.g. Q-learning and G-estimation作者: bile648 時間: 2025-3-24 17:51
Inference and Non-regularity,he optimal treatments at subsequent stages are non-unique for at least some strictly positive proportion of subjects in the population. We discuss and illustrate the phenomenon using Q-learning and G-estimation, and propose a number of strategies to mitigate the non-regularity including thresholding作者: NOVA 時間: 2025-3-24 19:10
Statistical Reinforcement Learning,inforcement learning, connect them to the relevant statistical literature, and develop a mathematical framework that will enable us to treat the problem of estimating the optimal dynamic treatment regimes rigorously.作者: Eulogy 時間: 2025-3-24 23:50
Textbook 2013ference for dynamic treatment regimes, a branch of personalized medicine. This volume demonstrates these methods with their conceptual underpinnings and illustration through analysis of real and simulated data. These methods are immediately applicable to the practice of personalized medicine, which 作者: 聰明 時間: 2025-3-25 04:39 作者: noxious 時間: 2025-3-25 08:52
The Data: Observational Studies and Sequentially Randomized Trials,rform valid analyses in each, along with some examples. We also discuss a basic framework of causal inference in the context of observational studies, and power and sample size issues in the context of randomized studies.作者: debacle 時間: 2025-3-25 14:49
Estimation of Optimal DTRs by Directly Modeling Regimes,mental difference between the approaches considered in the current chapter and those considered in previous chapters (e.g. Q-learning and G-estimation) lies in the primary target of estimation (and inference): the methods considered presently target the parameters of the decision rule itself.作者: muscle-fibers 時間: 2025-3-25 16:11
Inference and Non-regularity, illustrate the phenomenon using Q-learning and G-estimation, and propose a number of strategies to mitigate the non-regularity including thresholding and penalization of the estimators as well as non-standard implementations of the bootstrap.作者: CHARM 時間: 2025-3-25 23:05
Lennart Rohlfs,Julien Weiss the company or even reshaping the forces and direction of a whole industry. What allows strategic leaders make great decisions? Is this pure chance or a skill that has been developed through many years of experience? We argue that it is strategic leadership wisdom manifesting in the leaders’ abilit作者: GEM 時間: 2025-3-26 03:07
Melina Bosco,Marco Caragliano,Edoardo M. Marino,Pier Paolo Rossin we present characterization theorems for three types of problems: Finite dimensional, variational and problems in linear topological spaces. In each case we present theorems for equality — inequality constraints. The theorems in each case are: first order necessary conditions, first order sufficie作者: construct 時間: 2025-3-26 05:25 作者: eustachian-tube 時間: 2025-3-26 11:31 作者: Armada 時間: 2025-3-26 15:19 作者: 社團(tuán) 時間: 2025-3-26 20:03
Multi-Object Tracking based on Imaging Radar 3D Object Detection,vior and therefore adequate planning of the ego vehicle trajectory. One approach for detecting and tracking surrounding traffic participants is the combination of a learningbased object detector with a classical tracking algorithm. Learning based object detectors have been shown to work adequately o作者: NEEDY 時間: 2025-3-26 22:06 作者: MAG 時間: 2025-3-27 03:05 作者: overbearing 時間: 2025-3-27 09:04 作者: 套索 時間: 2025-3-27 11:48 作者: 鍍金 時間: 2025-3-27 14:52 作者: vibrant 時間: 2025-3-27 21:29 作者: 追逐 時間: 2025-3-28 00:04
Textbook 2001mperature regulation and current concepts of the central nervous interface between temperature signals generated in the body and control mechanisms are examined in detail. This book is of invaluable help for undergraduates, postgraduates, teachers, physicians and scientists.作者: 爭吵 時間: 2025-3-28 04:42 作者: stress-test 時間: 2025-3-28 09:37
Michael Bronzite BSc, MSc, MBCS, CEngered for performance evaluation using Ling-Spam and SpamAssassin databases. Experimental results show that the PSO-based feature selection algorithm was presented to generate excellent feature selection results with the minimal set of selected features to be caused by a high accuracy of spam email c作者: 解開 時間: 2025-3-28 12:55
A Compartmental Mathematical Model of COVID-19 Intervention Scenarios for Mumbai,nario. The proposed model predicts the approximate time when the disease is at its worst and the approximate time when death cases barely arise and determines how many hospital beds in the peak days of infection would be expected. The proposed model outperforms the classic ARX, SARIMAX, and the ARIM作者: 可能性 時間: 2025-3-28 17:04 作者: 不易燃 時間: 2025-3-28 22:37 作者: Libido 時間: 2025-3-29 00:37
Front Matterotrophic communities in acidic environments have been examined using cultivation-based physiological analyses as well as cultivation-independent molecular approaches, including omic-technologies. Most investigations have focused on moderately acidophilic, aerobic methanotrophs belonging to the phylu作者: TIA742 時間: 2025-3-29 06:39
