Japanese journal of biometrics最新文献_第7页

ゲノム・プロテオミクスデータを用いた予測解析：機械学習による新しい統計的手法基于基因组蛋白质组数据的预测分析:基于机器学习的新统计方法

Japanese journal of biometrics Pub Date : 2011-07-31 DOI: 10.5691/JJB.32.49

理小森, 真透江口

引用次数: 0

環境と疾病：大気汚染の疫学と統計データ・データ解析环境与疾病:空气污染流行病学和统计数据分析

Japanese journal of biometrics Pub Date : 2011-05-31 DOI: 10.5691/JJB.32.S89

里史中井

引用次数: 0

A Hierarchical Regression Model for Dietary Data Adjusting for Covariates Measurement Error by Regression Calibration: An Application to a Large Prospective Study for Diabetic Complications 用回归校正校正协变量测量误差的饮食数据层次回归模型:在糖尿病并发症大型前瞻性研究中的应用

Japanese journal of biometrics Pub Date : 2010-12-31 DOI: 10.5691/JJB.31.49

M. Taguri, Y. Matsuyama, Y. Ohashi, H. Sone, Y. Yoshimura, N. Yamada

{"title":"A Hierarchical Regression Model for Dietary Data Adjusting for Covariates Measurement Error by Regression Calibration: An Application to a Large Prospective Study for Diabetic Complications","authors":"M. Taguri, Y. Matsuyama, Y. Ohashi, H. Sone, Y. Yoshimura, N. Yamada","doi":"10.5691/JJB.31.49","DOIUrl":"https://doi.org/10.5691/JJB.31.49","url":null,"abstract":"To examine the effect of food intakes on the occurrence of a specific disease, it is necessary to take account of numerous measurement errors in dietary assessment instruments, such as the 24-hour recall or the food frequency questionnaire. The regression calibration (RC) method has been widely used for correcting the measurement error. However, the resulting corrected estimator is generally more variable than the naive biased one. Using the Bayesian hierarchical regression models, one can obtain more precise estimates than using ordinary regression models by incorporating additional information into a second-stage regression. In this paper, we propose a hierarchical Poisson regression model, in which multivariate measurement errors are adjusted by RC method. Simulation studies were conducted to investigate the performances of the proposed method, which showed that the proposed estimators were nearly unbiased, and were more precise than the usual RC ones even in the case of a few number of exposure. We also applied the proposed method to the analysis of a large prospective study, JDCS (Japan Diabetes Complications Study), to examine the effect of food group intakes on the occurrence of the cardiovascular disease (CVD) among type2 diabetic patients.","PeriodicalId":365545,"journal":{"name":"Japanese journal of biometrics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122677559","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 Bayesian Inference of Genetic Parameters for Sexual Dimorphism Using Carcass Trait Data 利用胴体性状数据进行性别二态性遗传参数的贝叶斯推断

Japanese journal of biometrics Pub Date : 2010-12-31 DOI: 10.5691/JJB.31.77

A. Arakawa, H. Iwaisaki

引用次数: 2

Monte Carlo Sensitivity Analysis for Adjusting Multiple-bias in the Longitudinal Cardiovascular Study 纵向心血管研究中校正多重偏倚的蒙特卡罗灵敏度分析

Japanese journal of biometrics Pub Date : 2010-12-31 DOI: 10.5691/JJB.31.63

A. Takeuchi, Y. Matsuyama, Y. Ohashi, H. Ueshima

{"title":"Monte Carlo Sensitivity Analysis for Adjusting Multiple-bias in the Longitudinal Cardiovascular Study","authors":"A. Takeuchi, Y. Matsuyama, Y. Ohashi, H. Ueshima","doi":"10.5691/JJB.31.63","DOIUrl":"https://doi.org/10.5691/JJB.31.63","url":null,"abstract":"Epidemiologic findings by conventional statistical methods reflect uncertainty due to random error but omit uncertainty due to biases, such as unmeasured confounding, selection bias, and misclassification error. One approach for addressing this problem is to perform sensitivity analyses. We used MCSA (Monte Carlo sensitivity analysis) to analyze data from a large population-based cohort study, Japan Arteriosclerosis Longitudinal Study-Existing Cohorts Combine. The effects of the blood pressure on arteriosclerotic disease were examined among 21,949 subjects accounting for both misclassification of exposure and unmeasured confounding. We used a Poisson regression model to estimate the gender-specific incidence rate ratio (IRR) of each blood pressure category adjusted for several measured risk factors. The prior information on the misclassified blood pressure and the unmeasured diabetes mellitus history was obtained from sub-cohort members. Sequential correction of two biases by the MCSA led to large decrease of IRR among pre-hypertensive men (IRR = 1.79 [95% limits = 0.22−3.78]) and women (1.15 [0.28−2.25]), and large increase of IRR among stage 2 hypertensive men (7.24 [3.50−11.2]) and women (4.12 [2.14−6.89]). Our expanded MCSA provides valuable approach for bias analysis, which makes explicit and quantifies sources of uncertainty.","PeriodicalId":365545,"journal":{"name":"Japanese journal of biometrics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115578792","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

The Monotone Instrumental Variable in Randomized Trials with Noncompliance 非依从性随机试验中的单调工具变量

Japanese journal of biometrics Pub Date : 2010-12-31 DOI: 10.5691/JJB.31.93

Y. Chiba

引用次数: 1

Statistical Criteria for Surrogate Endpoint and Applications : A Review 代理终点和应用的统计标准:综述

Japanese journal of biometrics Pub Date : 2010-07-31 DOI: 10.5691/JJB.31.23

Shiro Tanaka, Koji Oba, K. Yoshimura, S. Teramukai

引用次数: 1

Power Calculation for Likelihood Ratio Tests in the Nested Case-control Designs with a Randomly Sampled Control Per Case 每个病例随机抽样的嵌套病例-对照设计中似然比检验的功效计算

Japanese journal of biometrics Pub Date : 2010-07-31 DOI: 10.5691/JJB.31.1

S. Izumi, Y. Fujii