Statistics in Biosciences最新文献_第7页

A Perception-Augmented Hidden Markov Model for Parent-Child Relations in Families of Youth with Type 1 Diabetes. 1型糖尿病青少年家庭亲子关系的感知增强隐马尔可夫模型

IF 0.4

Statistics in Biosciences Pub Date : 2023-04-01 Epub Date: 2022-12-30 DOI: 10.1007/s12561-022-09360-8

Ruijin Lu, Tonja R Nansel, Zhen Chen

{"title":"A Perception-Augmented Hidden Markov Model for Parent-Child Relations in Families of Youth with Type 1 Diabetes.","authors":"Ruijin Lu, Tonja R Nansel, Zhen Chen","doi":"10.1007/s12561-022-09360-8","DOIUrl":"10.1007/s12561-022-09360-8","url":null,"abstract":"In youth with Type 1 diabetes, adherence to medical treatment regimens requires the involvement of both parent and child. A clinic-integrated behavioral intervention in the Family Management of Diabetes (FMOD) trial was shown to be effective in controlling deterioration in glycemic level; yet the mechanism remains unknown. It is possible that the effectiveness is through improved Parent-Child relation. To investigate whether the intervention improves Parent-Child relations, we proposed a novel approach that allows differential perceptions of parent and child toward the unobserved Parent-Child relationship. Leveraging manifesto data collected from both parent and child in the FMOD trial, the proposed approach extended a standard hidden Markov model by inserting a layer of parent- and child-specific hidden states. We took a Bayesian perspective to estimation and developed an efficient computational algorithm to sample from the joint posterior distribution. Extensive simulations were conducted to demonstrate the performance of the proposed modeling framework. Application to the FMOD trial data reveals that families in the intervention arm are more likely to stay in the Harmonious Parent-Child relation state and less likely to transition from Harmonious to Indifferent state. Compared to parent, child tends to have a more heterogeneous perception of the Parent-Child relation.","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"15 1","pages":"288-308"},"PeriodicalIF":0.4,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12380385/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43770191","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

A functional model for studying common trends across trial time in eye tracking experiments. 用于研究眼动跟踪实验中跨试验时间的共同趋势的功能模型。

IF 1

Statistics in Biosciences Pub Date : 2023-04-01 Epub Date: 2022-09-05 DOI: 10.1007/s12561-022-09354-6

Mingfei Dong, Donatello Telesca, Catherine Sugar, Frederick Shic, Adam Naples, Scott P Johnson, Beibin Li, Adham Atyabi, Minhang Xie, Sara J Webb, Shafali Jeste, Susan Faja, April R Levin, Geraldine Dawson, James C McPartland, Damla Şentürk

{"title":"A functional model for studying common trends across trial time in eye tracking experiments.","authors":"Mingfei Dong, Donatello Telesca, Catherine Sugar, Frederick Shic, Adam Naples, Scott P Johnson, Beibin Li, Adham Atyabi, Minhang Xie, Sara J Webb, Shafali Jeste, Susan Faja, April R Levin, Geraldine Dawson, James C McPartland, Damla Şentürk","doi":"10.1007/s12561-022-09354-6","DOIUrl":"10.1007/s12561-022-09354-6","url":null,"abstract":"Eye tracking (ET) experiments commonly record the continuous trajectory of a subject's gaze on a two-dimensional screen throughout repeated presentations of stimuli (referred to as trials). Even though the continuous path of gaze is recorded during each trial, commonly derived outcomes for analysis collapse the data into simple summaries, such as looking times in regions of interest, latency to looking at stimuli, number of stimuli viewed, number of fixations or fixation length. In order to retain information in trial time, we utilize functional data analysis (FDA) for the first time in literature in the analysis of ET data. More specifically, novel functional outcomes for ET data, referred to as viewing profiles, are introduced that capture the common gazing trends across trial time which are lost in traditional data summaries. Mean and variation of the proposed functional outcomes across subjects are then modeled using functional principal components analysis. Applications to data from a visual exploration paradigm conducted by the Autism Biomarkers Consortium for Clinical Trials showcase the novel insights gained from the proposed FDA approach, including significant group differences between children diagnosed with autism and their typically developing peers in their consistency of looking at faces early on in trial time.","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"15 1","pages":"261-287"},"PeriodicalIF":1.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10112660/pdf/nihms-1842687.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9378156","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

Using Controlled Feeding Study for Biomarker Development in Regression Calibration for Disease Association Estimation. 疾病关联估计回归校准中生物标志物发展的控制饲养研究。

IF 1

Statistics in Biosciences Pub Date : 2023-04-01 DOI: 10.1007/s12561-022-09349-3

Cheng Zheng, Yiwen Zhang, Ying Huang, Ross Prentice

{"title":"Using Controlled Feeding Study for Biomarker Development in Regression Calibration for Disease Association Estimation.","authors":"Cheng Zheng, Yiwen Zhang, Ying Huang, Ross Prentice","doi":"10.1007/s12561-022-09349-3","DOIUrl":"https://doi.org/10.1007/s12561-022-09349-3","url":null,"abstract":"Correction for systematic measurement error in self-reported data is an important challenge in association studies of dietary intake and chronic disease risk. The regression calibration method has been used for this purpose when an objectively measured biomarker is available. However, a big limitation of the regression calibration method is that biomarkers have only been developed for a few dietary components. We propose new methods to use controlled feeding studies to develop valid biomarkers for many more dietary components and to estimate the diet disease associations. Asymptotic distribution theory for the proposed estimators is derived. Extensive simulation is performed to study the finite sample performance of the proposed estimators. We applied our method to examine the associations between the sodium/potassium intake ratio and cardiovascular disease incidence using the Women's Health Initiative cohort data. We discovered positive associations between sodium/potassium ratio and the risks of coronary heart disease, nonfatal myocardial infarction, coronary death, ischemic stroke, and total cardiovascular disease.","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"15 1","pages":"57-113"},"PeriodicalIF":1.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10270384/pdf/nihms-1888533.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10024335","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: 2

Causal Inference with Secondary Outcomes 与次要结果的因果推断

IF 1

Statistics in Biosciences Pub Date : 2023-03-20 DOI: 10.1007/s12561-023-09363-z

Ying Zhou

引用次数: 0

Introduction 介绍

IF 1

Statistics in Biosciences Pub Date : 2023-01-17 DOI: 10.1007/s12561-018-9218-3

Benjamin Gillespie

引用次数: 0

Impact of the Error Structure on the Design and Analysis of Enzyme Kinetic Models. 误差结构对设计和分析酶动力学模型的影响。

IF 0.8

Statistics in Biosciences Pub Date : 2023-01-01 Epub Date: 2022-06-09 DOI: 10.1007/s12561-022-09347-5

Elham Yousefi, Werner G Müller

引用次数: 0

On the Methodological Aspects of the Clinical Trials for COVID-19 Conducted in the First Year of the Pandemic: A Descriptive Analysis. 新冠肺炎疫情第一年临床试验的方法论方面：描述性分析。

IF 1

Statistics in Biosciences Pub Date : 2023-01-01 Epub Date: 2023-03-16 DOI: 10.1007/s12561-023-09366-w

Eleni Georgiadi, Athanasios Sachlas

引用次数: 0

New Confidence Intervals for Relative Risk of Two Correlated Proportions. 两个相关比例相对风险的新置信区间。

IF 0.8

Statistics in Biosciences Pub Date : 2023-01-01 Epub Date: 2022-05-20 DOI: 10.1007/s12561-022-09345-7

Natalie DelRocco, Yipeng Wang, Dongyuan Wu, Yuting Yang, Guogen Shan

{"title":"New Confidence Intervals for Relative Risk of Two Correlated Proportions.","authors":"Natalie DelRocco, Yipeng Wang, Dongyuan Wu, Yuting Yang, Guogen Shan","doi":"10.1007/s12561-022-09345-7","DOIUrl":"10.1007/s12561-022-09345-7","url":null,"abstract":"Biomedical studies, such as clinical trials, often require the comparison of measurements from two correlated tests in which each unit of observation is associated with a binary outcome of interest via relative risk. The associated confidence interval is crucial because it provides an appreciation of the spectrum of possible values, allowing for a more robust interpretation of relative risk. Of the available confidence interval methods for relative risk, the asymptotic score interval is the most widely recommended for practical use. We propose a modified score interval for relative risk and we also extend an existing nonparametric U-statistic-based confidence interval to relative risk. In addition, we theoretically prove that the original asymptotic score interval is equivalent to the constrained maximum likelihood-based interval proposed by Nam and Blackwelder. Two clinically relevant oncology trials are used to demonstrate the real-world performance of our methods. The finite sample properties of the new approaches, the current standard of practice, and other alternatives are studied via extensive simulation studies. We show that, as the strength of correlation increases, when the sample size is not too large the new score-based intervals outperform the existing intervals in terms of coverage probability. Moreover, our results indicate that the new nonparametric interval provides the coverage that most consistently meets or exceeds the nominal coverage probability.","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"15 1","pages":"1-30"},"PeriodicalIF":0.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122488/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9092365","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

Simultaneous Confidence Band Approach for Comparison of COVID-19 Case Counts. 新冠肺炎病例数比较的同时置信带方法。

IF 1

Statistics in Biosciences Pub Date : 2023-01-01 Epub Date: 2023-03-07 DOI: 10.1007/s12561-023-09364-y

Q Shao

{"title":"Simultaneous Confidence Band Approach for Comparison of COVID-19 Case Counts.","authors":"Q Shao","doi":"10.1007/s12561-023-09364-y","DOIUrl":"10.1007/s12561-023-09364-y","url":null,"abstract":"The outbreak of the novel coronavirus (COVID-19) was declared to be a global emergency in January of 2020, and everyday life throughout the world was disrupted. Among many questions about COVID-19 that remain unanswered, it is of interest for society to identify whether there is any significant difference in daily case counts between males and females. The daily case count sequences are correlated due to the nature of a contagious disease, and contain a nonlinear trend owing to several unexpected events, such as vaccinations and the appearance of the delta variant. It is possible that these unexpected events have changed the dynamical system that generates data. The classic t-test is not appropriate to analyze such correlated data with a nonconstant trend. This study applies a simultaneous confidence band approach in an attempt to overcome these difficulties; that is, a simultaneous confidence band for the trend of an autoregressive moving-average time series is constructed using B-spline estimation. The proposed method is applied to the daily case count data of seniors of both genders (at least 60 years old) in the State of Ohio from April 1, 2020 to March 31, 2022, and the result shows that there is a significant difference at the 95% confidence level between the two gender case counts adjusted for the population sizes.","PeriodicalId":45094,"journal":{"name":"Statistics in Biosciences","volume":"15 2","pages":"372-383"},"PeriodicalIF":1.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9989581/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9633106","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

Bayesian Index Models for Heterogeneous Treatment Effects on a Binary Outcome. 二元结果的异质治疗效果的贝叶斯指数模型。

IF 1

Statistics in Biosciences Pub Date : 2023-01-01 Epub Date: 2023-05-19 DOI: 10.1007/s12561-023-09370-0

Hyung G Park, Danni Wu, Eva Petkova, Thaddeus Tarpey, R Todd Ogden

引用次数: 0