发布求助
文献互助 智能选刊 最新文献

Statistics in Biosciences最新文献

筛选
英文 中文
Covariate-Balancing-Aware Interpretable Deep Learning Models for Treatment Effect Estimation. 用于治疗效果估计的协变量平衡感知可解释深度学习模型。
IF 0.8
Statistics in Biosciences Pub Date : 2025-04-01 Epub Date: 2023-10-28 DOI: 10.1007/s12561-023-09394-6
Kan Chen, Qishuo Yin, Qi Long
{"title":"Covariate-Balancing-Aware Interpretable Deep Learning Models for Treatment Effect Estimation.","authors":"Kan Chen, Qishuo Yin, Qi Long","doi":"10.1007/s12561-023-09394-6","DOIUrl":"10.1007/s12561-023-09394-6","url":null,"abstract":"<p><p>Estimating treatment effects is of great importance for many biomedical applications with observational data. Particularly, interpretability of the treatment effects is preferable for many biomedical researchers. In this paper, we first provide a theoretical analysis and derive an upper bound for the bias of average treatment effect (ATE) estimation under the strong ignorability assumption. Derived by leveraging appealing properties of the weighted energy distance, our upper bound is tighter than what has been reported in the literature. Motivated by the theoretical analysis, we propose a novel objective function for estimating the ATE that uses the energy distance balancing score and hence does not require the correct specification of the propensity score model. We also leverage recently developed neural additive models to improve interpretability of deep learning models used for potential outcome prediction. We further enhance our proposed model with an energy distance balancing score weighted regularization. The superiority of our proposed model over current state-of-the-art methods is demonstrated in semi-synthetic experiments using two benchmark datasets, namely, IHDP and ACIC, as well as is examined through the study of the effect of smoking on the blood level of cadmium using NHANES.</p>","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"17 1","pages":"132-150"},"PeriodicalIF":0.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11957463/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143765096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Use of Real-World EMR Data to Rapidly Evaluate Treatment Effects of Existing Drugs for Emerging Infectious Diseases: Remdesivir for COVID-19 Treatment as an Example 利用真实世界的 EMR 数据快速评估现有药物对新发传染病的治疗效果：以治疗 COVID-19 的雷米地韦为例
IF 1
Statistics in Biosciences Pub Date : 2024-01-02 DOI: 10.1007/s12561-023-09411-8
Chenguang Zhang, Masayuki Nigo, Shivani Patel, Duo Yu, Edward Septimus, Hulin Wu
{"title":"Use of Real-World EMR Data to Rapidly Evaluate Treatment Effects of Existing Drugs for Emerging Infectious Diseases: Remdesivir for COVID-19 Treatment as an Example","authors":"Chenguang Zhang, Masayuki Nigo, Shivani Patel, Duo Yu, Edward Septimus, Hulin Wu","doi":"10.1007/s12561-023-09411-8","DOIUrl":"https://doi.org/10.1007/s12561-023-09411-8","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"112 45","pages":"1-30"},"PeriodicalIF":1.0,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139391299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Modeling Historic Arsenic Exposures and Spatial Risk for Bladder Cancer 砷历史暴露与膀胱癌空间风险建模
IF 1
Statistics in Biosciences Pub Date : 2023-12-17 DOI: 10.1007/s12561-023-09404-7
Joseph Boyle, Mary H. Ward, Stella Koutros, M. Karagas, M. Schwenn, Alison T. Johnson, Debra T. Silverman, David C. Wheeler
{"title":"Modeling Historic Arsenic Exposures and Spatial Risk for Bladder Cancer","authors":"Joseph Boyle, Mary H. Ward, Stella Koutros, M. Karagas, M. Schwenn, Alison T. Johnson, Debra T. Silverman, David C. Wheeler","doi":"10.1007/s12561-023-09404-7","DOIUrl":"https://doi.org/10.1007/s12561-023-09404-7","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"5 11","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138966433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Considerations and Targeted Approaches to Identifying Bad Actors in Exposure Mixtures 识别暴露混合物中不良作用因子的考虑因素和有针对性的方法
IF 1
Statistics in Biosciences Pub Date : 2023-12-12 DOI: 10.1007/s12561-023-09409-2
Alexander P. Keil, Katie M. O’Brien
{"title":"Considerations and Targeted Approaches to Identifying Bad Actors in Exposure Mixtures","authors":"Alexander P. Keil, Katie M. O’Brien","doi":"10.1007/s12561-023-09409-2","DOIUrl":"https://doi.org/10.1007/s12561-023-09409-2","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"6 13","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139006657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Causal Mediation Tree Model for Feature Identification on High-Dimensional Mediators 用于识别高维中介特征的因果中介树模型
IF 1
Statistics in Biosciences Pub Date : 2023-12-02 DOI: 10.1007/s12561-023-09402-9
Yao Li, Wei Xu
{"title":"Causal Mediation Tree Model for Feature Identification on High-Dimensional Mediators","authors":"Yao Li, Wei Xu","doi":"10.1007/s12561-023-09402-9","DOIUrl":"https://doi.org/10.1007/s12561-023-09402-9","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"79 8","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138606084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluating Effects of Various Exposures on Mortality Risk of Opioid Use Disorders with Linked Administrative Databases 利用关联行政数据库评估各种暴露对阿片类药物使用障碍死亡率风险的影响
IF 1
Statistics in Biosciences Pub Date : 2023-12-01 DOI: 10.1007/s12561-023-09407-4
Trevor J. Thomson, X. Joan Hu, Bohdan Nosyk
{"title":"Evaluating Effects of Various Exposures on Mortality Risk of Opioid Use Disorders with Linked Administrative Databases","authors":"Trevor J. Thomson, X. Joan Hu, Bohdan Nosyk","doi":"10.1007/s12561-023-09407-4","DOIUrl":"https://doi.org/10.1007/s12561-023-09407-4","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":" 32","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138616782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Use of Generalized Propensity Scores for Assessing Effects of Multiple Exposures 使用广义倾向分数评估多重暴露的影响
IF 1
Statistics in Biosciences Pub Date : 2023-12-01 DOI: 10.1007/s12561-023-09403-8
Kecheng Li, Tugba Akkaya Hocagil, Richard J. Cook, Louise M. Ryan, R. C. Carter, Khue-Dung Dang, J. Jacobson, S. Jacobson
{"title":"Use of Generalized Propensity Scores for Assessing Effects of Multiple Exposures","authors":"Kecheng Li, Tugba Akkaya Hocagil, Richard J. Cook, Louise M. Ryan, R. C. Carter, Khue-Dung Dang, J. Jacobson, S. Jacobson","doi":"10.1007/s12561-023-09403-8","DOIUrl":"https://doi.org/10.1007/s12561-023-09403-8","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":" 6","pages":""},"PeriodicalIF":1.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138617119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
On Estimation of the Effect Lag of Predictors and Prediction in a Functional Linear Model 预测器效应滞后的估计与函数线性模型的预测
Statistics in Biosciences Pub Date : 2023-11-08 DOI: 10.1007/s12561-023-09393-7
Haiyan Liu, Georgios Aivaliotis, Vijay Kumar, Jeanine Houwing-Duistermaat
{"title":"On Estimation of the Effect Lag of Predictors and Prediction in a Functional Linear Model","authors":"Haiyan Liu, Georgios Aivaliotis, Vijay Kumar, Jeanine Houwing-Duistermaat","doi":"10.1007/s12561-023-09393-7","DOIUrl":"https://doi.org/10.1007/s12561-023-09393-7","url":null,"abstract":"Abstract We propose a functional linear model to predict a functional response using multiple functional and longitudinal predictors and to estimate the effect lags of predictors. The coefficient functions are written as the expansion of a basis system (e.g. functional principal components, splines), and the coefficients of the basis functions are estimated via optimizing a penalization criterion. Then effect lags are determined by simultaneously searching on a prior designed grid mesh based on minimization of a proposed prediction error criterion. Mathematical properties of the estimated regression functions and predicted responses are studied. The performance of the method is evaluated by extensive simulations and a real data analysis application on chronic obstructive pulmonary disease (COPD).","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135341192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bayesian Inference for High Dimensional Cox Models with Gaussian and Diffused-Gamma Priors: A Case Study of Mortality in COVID-19 Patients Admitted to the ICU 高斯先验和弥散先验的高维Cox模型的贝叶斯推断——以新冠肺炎ICU住院患者死亡率为例
Statistics in Biosciences Pub Date : 2023-11-04 DOI: 10.1007/s12561-023-09395-5
Jiyeon Song, Subharup Guha, Yi Li
{"title":"Bayesian Inference for High Dimensional Cox Models with Gaussian and Diffused-Gamma Priors: A Case Study of Mortality in COVID-19 Patients Admitted to the ICU","authors":"Jiyeon Song, Subharup Guha, Yi Li","doi":"10.1007/s12561-023-09395-5","DOIUrl":"https://doi.org/10.1007/s12561-023-09395-5","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"87 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135774370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Nonnegative Matrix Factorization with Group and Basis Restrictions 具有群和基限制的非负矩阵分解
Statistics in Biosciences Pub Date : 2023-11-04 DOI: 10.1007/s12561-023-09398-2
Phillip Shreeves, Jeffrey L. Andrews, Xinchen Deng, Ramie Ali-Adeeb, Andrew Jirasek
{"title":"Nonnegative Matrix Factorization with Group and Basis Restrictions","authors":"Phillip Shreeves, Jeffrey L. Andrews, Xinchen Deng, Ramie Ali-Adeeb, Andrew Jirasek","doi":"10.1007/s12561-023-09398-2","DOIUrl":"https://doi.org/10.1007/s12561-023-09398-2","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"16 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135726760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信