International Journal of Biostatistics最新文献_第3页

Bayesian Autoregressive Frailty Models for Inference in Recurrent Events 递归事件推理的贝叶斯自回归脆弱性模型

IF 1.2 4区数学

International Journal of Biostatistics Pub Date : 2019-11-21 DOI: 10.1515/ijb-2018-0088

Marta Tallarita, M. De Iorio, A. Guglielmi, J. Malone‐Lee

引用次数: 2

Biostatistics in Africa 2019: A Special Issue of The International Journal of Biostatistics 2019年非洲生物统计学:国际生物统计学杂志特刊

IF 1.2 4区数学

International Journal of Biostatistics Pub Date : 2019-11-01 DOI: 10.1515/ijb-2019-0125

A. Chambaz, Alan Hubbard, Alexander R. Luedtke, M. J. Laan

引用次数: 0

Bayesian Nonparametrics and Biostatistics: The Case of PET Imaging 贝叶斯非参数和生物统计学：以PET成像为例

IF 1.2 4区数学

International Journal of Biostatistics Pub Date : 2019-11-01 DOI: 10.1515/ijb-2017-0099

Mame Diarra Fall

引用次数: 0

On the Use of Optimal Transportation Theory to Recode Variables and Application to Database Merging 最优运输理论在变量重编码中的应用及其在数据库合并中的应用

IF 1.2 4区数学

International Journal of Biostatistics Pub Date : 2019-09-14 DOI: 10.1515/ijb-2018-0106

Valérie Garès, C. Dimeglio, G. Guernec, Romain Fantin, B. Lepage, M. Kosorok, N. Savy

{"title":"On the Use of Optimal Transportation Theory to Recode Variables and Application to Database Merging","authors":"Valérie Garès, C. Dimeglio, G. Guernec, Romain Fantin, B. Lepage, M. Kosorok, N. Savy","doi":"10.1515/ijb-2018-0106","DOIUrl":"https://doi.org/10.1515/ijb-2018-0106","url":null,"abstract":"Abstract Merging databases is a strategy of paramount interest especially in medical research. A common problem in this context comes from a variable which is not coded on the same scale in both databases we aim to merge. This paper considers the problem of finding a relevant way to recode the variable in order to merge these two databases. To address this issue, an algorithm, based on optimal transportation theory, is proposed. Optimal transportation theory gives us an application to map the measure associated with the variable in database A to the measure associated with the same variable in database B. To do so, a cost function has to be introduced and an allocation rule has to be defined. Such a function and such a rule is proposed involving the information contained in the covariates. In this paper, the method is compared to multiple imputation by chained equations and a statistical learning method and has demonstrated a better average accuracy in many situations. Applications on both simulated and real datasets show that the efficiency of the proposed merging algorithm depends on how the covariates are linked with the variable of interest.","PeriodicalId":50333,"journal":{"name":"International Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2019-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/ijb-2018-0106","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42506480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Multinomial Logistic Model for Coinfection Diagnosis Between Arbovirus and Malaria in Kedougou 可斗沟虫媒病毒与疟疾共感染诊断的多项Logistic模型

IF 1.2 4区数学

International Journal of Biostatistics Pub Date : 2018-01-12 DOI: 10.1515/ijb-2017-0015

Mor Absa Loum, Marie-Anne Poursat, A. Sow, A. Sall, C. Loucoubar, E. Gassiat

{"title":"Multinomial Logistic Model for Coinfection Diagnosis Between Arbovirus and Malaria in Kedougou","authors":"Mor Absa Loum, Marie-Anne Poursat, A. Sow, A. Sall, C. Loucoubar, E. Gassiat","doi":"10.1515/ijb-2017-0015","DOIUrl":"https://doi.org/10.1515/ijb-2017-0015","url":null,"abstract":"Abstract In tropical regions, populations continue to suffer morbidity and mortality from malaria and arboviral diseases. In Kedougou (Senegal), these illnesses are all endemic due to the climate and its geographical position. The co-circulation of malaria parasites and arboviruses can explain the observation of coinfected cases. Indeed there is strong resemblance in symptoms between these diseases making problematic targeted medical care of coinfected cases. This is due to the fact that the origin of illness is not obviously known. Some cases could be immunized against one or the other of the pathogens, immunity typically acquired with factors like age and exposure as usual for endemic area. Thus, coinfection needs to be better diagnosed. Using data collected from patients in Kedougou region, from 2009 to 2013, we adjusted a multinomial logistic model and selected relevant variables in explaining coinfection status. We observed specific sets of variables explaining each of the diseases exclusively and the coinfection. We tested the independence between arboviral and malaria infections and derived coinfection probabilities from the model fitting. In case of a coinfection probability greater than a threshold value to be calibrated on the data, long duration of illness and age are mostly indicative of arboviral disease while high body temperature and presence of nausea or vomiting symptoms during the rainy season are mostly indicative of malaria disease.","PeriodicalId":50333,"journal":{"name":"International Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2018-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/ijb-2017-0015","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48514925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Cell Line Classification Using Electric Cell-Substrate Impedance Sensing (ECIS) 基于Cell- substrate Impedance Sensing (ECIS)的细胞系分类

IF 1.2 4区数学

International Journal of Biostatistics Pub Date : 2017-10-26 DOI: 10.1515/ijb-2018-0083

Megan L. Gelsinger, Laura L. Tupper, D. Matteson

{"title":"Cell Line Classification Using Electric Cell-Substrate Impedance Sensing (ECIS)","authors":"Megan L. Gelsinger, Laura L. Tupper, D. Matteson","doi":"10.1515/ijb-2018-0083","DOIUrl":"https://doi.org/10.1515/ijb-2018-0083","url":null,"abstract":"Abstract We present new methods for cell line classification using multivariate time series bioimpedance data obtained from electric cell-substrate impedance sensing (ECIS) technology. The ECIS technology, which monitors the attachment and spreading of mammalian cells in real time through the collection of electrical impedance data, has historically been used to study one cell line at a time. However, we show that if applied to data from multiple cell lines, ECIS can be used to classify unknown or potentially mislabeled cells, factors which have previously been associated with the reproducibility crisis in the biological literature. We assess a range of approaches to this new problem, testing different classification methods and deriving a dictionary of 29 features to characterize ECIS data. Most notably, our analysis enriches the current field by making use of simultaneous multi-frequency ECIS data, where previous studies have focused on only one frequency; using classification methods to distinguish multiple cell lines, rather than simple statistical tests that compare only two cell lines; and assessing a range of features derived from ECIS data based on their classification performance. In classification tests on fifteen mammalian cell lines, we obtain very high out-of-sample predictive accuracy. These preliminary findings provide a baseline for future large-scale studies in this field.","PeriodicalId":50333,"journal":{"name":"International Journal of Biostatistics","volume":"16 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2017-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/ijb-2018-0083","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49126933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 17

Combinatorial Mixtures of Multiparameter Distributions: An Application to Bivariate Data 多参数分布的组合混合：在双变量数据中的应用

IF 1.2 4区数学

International Journal of Biostatistics Pub Date : 2017-02-16 DOI: 10.1515/ijb-2015-0064

V. Edefonti, G. Parmigiani

引用次数: 0

On Stratified Adjusted Tests by Binomial Trials 二项试验的分层校正检验

IF 1.2 4区数学

International Journal of Biostatistics Pub Date : 2017-02-14 DOI: 10.1515/ijb-2016-0047

Asanao Shimokawa, E. Miyaoka

{"title":"On Stratified Adjusted Tests by Binomial Trials","authors":"Asanao Shimokawa, E. Miyaoka","doi":"10.1515/ijb-2016-0047","DOIUrl":"https://doi.org/10.1515/ijb-2016-0047","url":null,"abstract":"Abstract To estimate or test the treatment effect in randomized clinical trials, it is important to adjust for the potential influence of covariates that are likely to affect the association between the treatment or control group and the response. If these covariates are known at the start of the trial, random assignment of the treatment within each stratum would be considered. On the other hand, if these covariates are not clear at the start of the trial, or if it is difficult to allocate the treatment within each stratum, completely randomized assignment of the treatment would be performed. In both sampling structures, the use of a stratified adjusted test is a useful way to evaluate the significance of the overall treatment effect by reducing the variance and/or bias of the result. If the trial has a binary endpoint, the Cochran and Mantel-Haenszel tests are generally used. These tests are constructed based on the assumption that the number of patients within a stratum is fixed. However, in practice, the stratum sizes are not fixed at the start of the trial in many situations, and are instead allowed to vary. Therefore, there is a risk that using these tests under such situations would result in an error in the estimated variation of the test statistics. To handle the problem, we propose new test statistics under both sampling structures based on multinomial distributions. Our proposed approach is based on the Cochran test, and the difference between the two tests tends to have similar values in the case of a large number of patients. When the total number of patients is small, our approach yields a more conservative result. Through simulation studies, we show that the new approach could correctly maintain the type I error better than the traditional approach.","PeriodicalId":50333,"journal":{"name":"International Journal of Biostatistics","volume":" ","pages":""},"PeriodicalIF":1.2,"publicationDate":"2017-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/ijb-2016-0047","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44587325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Testing Equality of Treatments under an Incomplete Block Crossover Design with Ordinal Responses 具有顺序响应的不完全块体交叉设计下处理平等性的检验

IF 1.2 4区数学

International Journal of Biostatistics Pub Date : 2017-02-03 DOI: 10.1515/ijb-2016-0069

K. Lui

引用次数: 2

Bayesian Variable Selection Methods for Matched Case-Control Studies 匹配病例对照研究的贝叶斯变量选择方法

IF 1.2 4区数学

International Journal of Biostatistics Pub Date : 2017-01-31 DOI: 10.1515/ijb-2016-0043

J. Asafu-Adjei, M. Tadesse, B. Coull, R. Balasubramanian, M. Lev, L. Schwamm, R. Betensky

引用次数: 5