International Journal of Biostatistics最新文献_第3页

Testing for association between ordinal traits and genetic variants in pedigree-structured samples by collapsing and kernel methods. 通过折叠和核方法测试系谱结构样本中序数性状和遗传变异之间的关联。

IF 1.2 4区数学

International Journal of Biostatistics Pub Date : 2023-09-26 eCollection Date: 2024-11-01 DOI: 10.1515/ijb-2022-0123

Li-Chu Chien

{"title":"Testing for association between ordinal traits and genetic variants in pedigree-structured samples by collapsing and kernel methods.","authors":"Li-Chu Chien","doi":"10.1515/ijb-2022-0123","DOIUrl":"10.1515/ijb-2022-0123","url":null,"abstract":"<p><p>In genome-wide association studies (GWAS), logistic regression is one of the most popular analytics methods for binary traits. Multinomial regression is an extension of binary logistic regression that allows for multiple categories. However, many GWAS methods have been limited application to binary traits. These methods have improperly often been used to account for ordinal traits, which causes inappropriate type I error rates and poor statistical power. Owing to the lack of analysis methods, GWAS of ordinal traits has been known to be problematic and gaining attention. In this paper, we develop a general framework for identifying ordinal traits associated with genetic variants in pedigree-structured samples by collapsing and kernel methods. We use the local odds ratios GEE technology to account for complicated correlation structures between family members and ordered categorical traits. We use the retrospective idea to treat the genetic markers as random variables for calculating genetic correlations among markers. The proposed genetic association method can accommodate ordinal traits and allow for the covariate adjustment. We conduct simulation studies to compare the proposed tests with the existing models for analyzing the ordered categorical data under various configurations. We illustrate application of the proposed tests by simultaneously analyzing a family study and a cross-sectional study from the Genetic Analysis Workshop 19 (GAW19) data.</p>","PeriodicalId":50333,"journal":{"name":"International Journal of Biostatistics","volume":" ","pages":"677-690"},"PeriodicalIF":1.2,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41177324","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

Frontmatter 头版头条

4区数学

International Journal of Biostatistics Pub Date : 2023-05-01 DOI: 10.1515/ijb-2023-frontmatter1

引用次数: 0

Approximate reciprocal relationship between two cause-specific hazard ratios in COVID-19 data with mutually exclusive events 在具有互斥事件的COVID-19数据中，两个病因特异性风险比之间存在近似的倒数关系

IF 1.2 4区数学

International Journal of Biostatistics Pub Date : 2021-04-27 DOI: 10.1101/2021.04.22.21255955

Wentian Li, S. Cetin, A. Ulgen, M. Cetin, Hakan Şıvgın, Yaning Yang

{"title":"Approximate reciprocal relationship between two cause-specific hazard ratios in COVID-19 data with mutually exclusive events","authors":"Wentian Li, S. Cetin, A. Ulgen, M. Cetin, Hakan Şıvgın, Yaning Yang","doi":"10.1101/2021.04.22.21255955","DOIUrl":"https://doi.org/10.1101/2021.04.22.21255955","url":null,"abstract":"Abstract COVID-19 survival data presents a special situation where not only the time-to-event period is short, but also the two events or outcome types, death and release from hospital, are mutually exclusive, leading to two cause-specific hazard ratios (csHR d and csHR r ). The eventual mortality/release outcome is also analyzed by logistic regression to obtain odds-ratio (OR). We have the following three empirical observations: (1) The magnitude of OR is an upper limit of the csHR d : |log(OR)| ≥ |log(csHR d )|. This relationship between OR and HR might be understood from the definition of the two quantities; (2) csHR d and csHR r point in opposite directions: log(csHR d ) ⋅ log(csHR r ) < 0; This relation is a direct consequence of the nature of the two events; and (3) there is a tendency for a reciprocal relation between csHR d and csHR r : csHR d ∼ 1/csHR r . Though an approximate reciprocal trend between the two hazard ratios is in indication that the same factor causing faster death also lead to slow recovery by a similar mechanism, and vice versa, a quantitative relation between csHR d and csHR r in this context is not obvious. These results may help future analyses of data from COVID-19 or other similar diseases, in particular if the deceased patients are lacking, whereas surviving patients are abundant.","PeriodicalId":50333,"journal":{"name":"International Journal of Biostatistics","volume":"0 1","pages":""},"PeriodicalIF":1.2,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42193520","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: 3

Asymptotic properties of the two one-sided t-tests – new insights and the Schuirmann-constant 两个单侧t检验的渐近性质——新见解和Schuirmann常数

IF 1.2 4区数学

International Journal of Biostatistics Pub Date : 2021-01-08 DOI: 10.1515/IJB-2020-0057

Christian Palmes, Tobias Bluhmki, Benedikt Funke, E. Bluhmki

{"title":"Asymptotic properties of the two one-sided t-tests – new insights and the Schuirmann-constant","authors":"Christian Palmes, Tobias Bluhmki, Benedikt Funke, E. Bluhmki","doi":"10.1515/IJB-2020-0057","DOIUrl":"https://doi.org/10.1515/IJB-2020-0057","url":null,"abstract":"Abstract The two one-sided t-tests (TOST) method is the most popular statistical equivalence test with many areas of application, i.e., in the pharmaceutical industry. Proper sample size calculation is needed in order to show equivalence with a certain power. Here, the crucial problem of choosing a suitable mean-difference in TOST sample size calculations is addressed. As an alternative concept, it is assumed that the mean-difference follows an a-priori distribution. Special interest is given to the uniform and some centered triangle a-priori distributions. Using a newly developed asymptotical theory a helpful analogy principle is found: every a-priori distribution corresponds to a point mean-difference, which we call its Schuirmann-constant. This constant does not depend on the standard deviation and aims to support the investigator in finding a well-considered mean-difference for proper sample size calculations in complex data situations. In addition to the proposed concept, we demonstrate that well-known sample size approximation formulas in the literature are in fact biased and state their unbiased corrections as well. Moreover, an R package is provided for a right away application of our newly developed concepts.","PeriodicalId":50333,"journal":{"name":"International Journal of Biostatistics","volume":"18 1","pages":"19 - 38"},"PeriodicalIF":1.2,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/IJB-2020-0057","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46667419","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: 1

Estimation of semi-Markov multi-state models: a comparison of the sojourn times and transition intensities approaches 半马尔可夫多状态模型的估计:逗留时间和转移强度方法的比较

IF 1.2 4区数学

International Journal of Biostatistics Pub Date : 2020-05-29 DOI: 10.1515/IJB-2020-0083

A. Asanjarani, B. Liquet, Y. Nazarathy

{"title":"Estimation of semi-Markov multi-state models: a comparison of the sojourn times and transition intensities approaches","authors":"A. Asanjarani, B. Liquet, Y. Nazarathy","doi":"10.1515/IJB-2020-0083","DOIUrl":"https://doi.org/10.1515/IJB-2020-0083","url":null,"abstract":"Abstract Semi-Markov models are widely used for survival analysis and reliability analysis. In general, there are two competing parameterizations and each entails its own interpretation and inference properties. On the one hand, a semi-Markov process can be defined based on the distribution of sojourn times, often via hazard rates, together with transition probabilities of an embedded Markov chain. On the other hand, intensity transition functions may be used, often referred to as the hazard rates of the semi-Markov process. We summarize and contrast these two parameterizations both from a probabilistic and an inference perspective, and we highlight relationships between the two approaches. In general, the intensity transition based approach allows the likelihood to be split into likelihoods of two-state models having fewer parameters, allowing efficient computation and usage of many survival analysis tools. Nevertheless, in certain cases the sojourn time based approach is natural and has been exploited extensively in applications. In contrasting the two approaches and contemporary relevant R packages used for inference, we use two real datasets highlighting the probabilistic and inference properties of each approach. This analysis is accompanied by an R vignette.","PeriodicalId":50333,"journal":{"name":"International Journal of Biostatistics","volume":"18 1","pages":"243 - 262"},"PeriodicalIF":1.2,"publicationDate":"2020-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1515/IJB-2020-0083","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43491644","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: 14

Incorporating Contact Network Uncertainty in Individual Level Models of Infectious Disease using Approximate Bayesian Computation 用近似贝叶斯计算纳入传染病个体水平模型中的接触网络不确定性

IF 1.2 4区数学

International Journal of Biostatistics Pub Date : 2019-12-10 DOI: 10.1515/ijb-2017-0092

Waleed Almutiry, R. Deardon

引用次数: 7

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