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A generalized interrupted time series model for assessing complex health care interventions. 用于评估复杂医疗干预措施的广义间断时间序列模型。
IF 1
Statistics in Biosciences Pub Date : 2022-12-01 Epub Date: 2022-05-25 DOI: 10.1007/s12561-022-09346-6
Maricela Cruz, Hernando Ombao, Daniel L Gillen
{"title":"A generalized interrupted time series model for assessing complex health care interventions.","authors":"Maricela Cruz, Hernando Ombao, Daniel L Gillen","doi":"10.1007/s12561-022-09346-6","DOIUrl":"10.1007/s12561-022-09346-6","url":null,"abstract":"<p><p>Assessing the impact of complex interventions on measurable health outcomes is a growing concern in health care and health policy. Interrupted time series (ITS) designs borrow from traditional case-crossover designs and function as quasi-experimental methodology able to retrospectively analyze the impact of an intervention. Statistical models used to analyze ITS designs primarily focus on continuous-valued outcomes. We propose the \"Generalized Robust ITS\" (GRITS) model appropriate for outcomes whose underlying distribution belongs to the exponential family of distributions, thereby expanding the available methodology to adequately model binary and count responses. GRITS formally implements a test for the existence of a change point in discrete ITS. The methodology proposed is able to test for the existence of and estimate the change point, borrow information across units in multi-unit settings, and test for differences in the mean function and correlation pre- and post-intervention. The methodology is illustrated by analyzing patient falls from a hospital that implemented and evaluated a new care delivery model in multiple units.</p>","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"14 3","pages":"582-610"},"PeriodicalIF":1.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208393/pdf/nihms-1884816.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9558674","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
Semiparametric Density Ratio Model for Survival Data with a Cure Fraction 带有治愈分数的生存数据的半参数密度比模型
IF 1
Statistics in Biosciences Pub Date : 2022-10-07 DOI: 10.1007/s12561-022-09357-3
Weibin Zhong, G. Diao
{"title":"Semiparametric Density Ratio Model for Survival Data with a Cure Fraction","authors":"Weibin Zhong, G. Diao","doi":"10.1007/s12561-022-09357-3","DOIUrl":"https://doi.org/10.1007/s12561-022-09357-3","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"15 1","pages":"217 - 241"},"PeriodicalIF":1.0,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46697910","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
A Step-Wise Multiple Testing for Linear Regression Models with Application to the Study of Resting Energy Expenditure 线性回归模型的逐步多重检验及其在静息能量消耗研究中的应用
IF 1
Statistics in Biosciences Pub Date : 2022-09-17 DOI: 10.1007/s12561-022-09355-5
Junyi Zhang, Zimian Wang, Zhezhen Jin, Zhiliang Ying
{"title":"A Step-Wise Multiple Testing for Linear Regression Models with Application to the Study of Resting Energy Expenditure","authors":"Junyi Zhang, Zimian Wang, Zhezhen Jin, Zhiliang Ying","doi":"10.1007/s12561-022-09355-5","DOIUrl":"https://doi.org/10.1007/s12561-022-09355-5","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"15 1","pages":"163 - 192"},"PeriodicalIF":1.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42982280","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 Framework for Causal Inference with Principal Stratification and Clusters 具有主分层和聚类的贝叶斯因果推理框架
IF 1
Statistics in Biosciences Pub Date : 2022-07-23 DOI: 10.1007/s12561-022-09351-9
Li He, Yu-Bo Wang, W. Bridges, Zhulin He, S. Che
{"title":"Bayesian Framework for Causal Inference with Principal Stratification and Clusters","authors":"Li He, Yu-Bo Wang, W. Bridges, Zhulin He, S. Che","doi":"10.1007/s12561-022-09351-9","DOIUrl":"https://doi.org/10.1007/s12561-022-09351-9","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"15 1","pages":"114 - 140"},"PeriodicalIF":1.0,"publicationDate":"2022-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41559868","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
Introduction to Special Issue on Leveraging External Data to Improve Trial Efficiency 《利用外部数据提高审判效率》特刊导言
IF 1
Statistics in Biosciences Pub Date : 2022-06-08 DOI: 10.1007/s12561-022-09348-4
Lanju Zhang, Naitee Ting
{"title":"Introduction to Special Issue on Leveraging External Data to Improve Trial Efficiency","authors":"Lanju Zhang, Naitee Ting","doi":"10.1007/s12561-022-09348-4","DOIUrl":"https://doi.org/10.1007/s12561-022-09348-4","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"14 1","pages":"193 - 196"},"PeriodicalIF":1.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43439217","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: 1
Detection of Cell Separation-Induced Gene Expression Through a Penalized Deconvolution Approach 通过惩罚反褶积方法检测细胞分离诱导的基因表达
IF 1
Statistics in Biosciences Pub Date : 2022-05-20 DOI: 10.1007/s12561-022-09344-8
An-Shun Tai, Chun-Chao Wang, Wen-Ping Hsieh
{"title":"Detection of Cell Separation-Induced Gene Expression Through a Penalized Deconvolution Approach","authors":"An-Shun Tai, Chun-Chao Wang, Wen-Ping Hsieh","doi":"10.1007/s12561-022-09344-8","DOIUrl":"https://doi.org/10.1007/s12561-022-09344-8","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2022-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45317080","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: 1
Discriminatory capacity of prenatal ultrasound measures for large-for-gestational-age birth: A Bayesian approach to ROC analysis using placement values. 产前超声测量对大胎龄分娩的歧视性能力:使用放置值的贝叶斯方法进行ROC分析。
IF 1
Statistics in Biosciences Pub Date : 2022-04-01 DOI: 10.1007/s12561-021-09311-9
Soutik Ghosal, Zhen Chen
{"title":"Discriminatory capacity of prenatal ultrasound measures for large-for-gestational-age birth: A Bayesian approach to ROC analysis using placement values.","authors":"Soutik Ghosal,&nbsp;Zhen Chen","doi":"10.1007/s12561-021-09311-9","DOIUrl":"https://doi.org/10.1007/s12561-021-09311-9","url":null,"abstract":"<p><p>Predicting large fetuses at birth is of great interest to obstetricians. Using an NICHD Scandinavian Study that collected longitudinal ultrasound examination data during pregnancy, we estimate diagnostic accuracy parameters of estimated fetal weight (EFW) at various times during pregnancy in predicting large-for-gestational-age. We adopt a placement value based Bayesian regression model with random effects to estimate ROC curves. The use of placement values allows us to model covariate effects directly on the ROC curves and the adoption of a Bayesian approach accommodates the <i>a priori</i> constraint that an ROC curve of EFW near delivery should dominate another further away. The proposed methodology is shown to perform better than some alternative approaches in simulations and its application to the Scandinavian Study data suggests that diagnostic accuracy of EFW can improve about 65% from week 17 to 37 of gestation.</p>","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"14 1","pages":"1-22"},"PeriodicalIF":1.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s12561-021-09311-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9233024","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: 1
A Simple Approach to Incorporating Historical Control Data in Clinical Trial Design and Analysis 将历史对照数据纳入临床试验设计和分析的一种简单方法
IF 1
Statistics in Biosciences Pub Date : 2022-03-31 DOI: 10.1007/s12561-022-09342-w
Lanju Zhang, Zailong Wang, Li Wang, Lu Cui, J. Sokolove, Ivan S. F. Chan
{"title":"A Simple Approach to Incorporating Historical Control Data in Clinical Trial Design and Analysis","authors":"Lanju Zhang, Zailong Wang, Li Wang, Lu Cui, J. Sokolove, Ivan S. F. Chan","doi":"10.1007/s12561-022-09342-w","DOIUrl":"https://doi.org/10.1007/s12561-022-09342-w","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"14 1","pages":"216 - 236"},"PeriodicalIF":1.0,"publicationDate":"2022-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43178218","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
Clinical Trials with External Control: Beyond Propensity Score Matching 临床试验与外部控制:超越倾向得分匹配
IF 1
Statistics in Biosciences Pub Date : 2022-03-24 DOI: 10.1007/s12561-022-09341-x
Hongwei Wang, Yixin Fang, Weili He, Ruizhe Chen, Su Chen
{"title":"Clinical Trials with External Control: Beyond Propensity Score Matching","authors":"Hongwei Wang, Yixin Fang, Weili He, Ruizhe Chen, Su Chen","doi":"10.1007/s12561-022-09341-x","DOIUrl":"https://doi.org/10.1007/s12561-022-09341-x","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"14 1","pages":"304 - 317"},"PeriodicalIF":1.0,"publicationDate":"2022-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48725713","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
Estimation of the Proportional Mean Residual Life Model with Internal and Longitudinal Covariates 含内、纵向协变量的比例平均剩余寿命模型的估计
IF 1
Statistics in Biosciences Pub Date : 2022-03-04 DOI: 10.1007/s12561-022-09339-5
Ruiwen Zhou, Jianguo Sun
{"title":"Estimation of the Proportional Mean Residual Life Model with Internal and Longitudinal Covariates","authors":"Ruiwen Zhou, Jianguo Sun","doi":"10.1007/s12561-022-09339-5","DOIUrl":"https://doi.org/10.1007/s12561-022-09339-5","url":null,"abstract":"","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"14 1","pages":"550 - 563"},"PeriodicalIF":1.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43677213","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
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