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Health Data Science入选2020年度中国科技期刊卓越行动计划“高起点新刊”项目（图）
Health Data Science 2020年度 中国科技期刊 卓越行动计划 高起点新刊 项目
2020/7/29
2020年 7月23 日，中国科学技术协会官方公布由北京大学主办、北京大学健康医疗大数据国家研究院承办、北京大学信息技术高等研究院和北京大学人工智能研究院共同协办的国际英文期刊Health Data Science（中文刊名《健康数据科学》）入选2020年度中国科技期刊卓越行动计划“高起点新刊”项目。
Big Data to individualize management of chronic diseases
Big Data individualize management chronic diseases
2015/12/7
Some chronic conditions, such as the autoimmune disease scleroderma, are especially difficult to treat because patients exhibit highly variable symptoms, complications and treatment responses. The pro...
Introduction to fMRI:experimental design and data analysis
functional magnetic resonance imaging fMRI statistical parametric mapping SPM
2015/7/28
This provides an introduction to functional MRI, experimental design and data analysis procedures using statistical parametric mapping approach.
Initial Free Recall Data Characterized and Explained By Activation Theory of Short Term Memory
free recall memory search short term memory
2015/7/21
The initial recall distribution in a free recall experiment is shown to be predictably different from the overall free recall distribution including an offset which can cause the least remembered item...
Informatics Approaches to Linking Mutations to Biological Pathways, Networks and Clinical Data
Networks Linking Mutations Biological Pathways
2015/5/26
The information gained from sequencing of the human genome has begun to transform human biology and genetic medicine. The discovery of functionally important genetic variation lies at the heart of the...
Joint models for longitudinal and survival data
joint models longitudinal data survival data bivariate change point models prediction Bayesian method EM algorithm
2015/5/21
Epidemiologic and clinical studies routinely collect longitudinal measures of multiple outcomes. These longitudinal outcomes can be used to establish the temporal order of relevant biological processe...
Statistical analysis of clinical trial data using Monte Carlo methods
joint modeling semicompeting risks Bayesian,Minimization randomization test
2015/5/21
In medical research, data analysis often requires complex statistical methods where no closed-form solutions are available. Under such circumstances, Monte Carlo (MC) methods have found many applicati...
Variable selection and structural discovery in joint models of longitudinal and survival data
Joint models Mixed effect selection Structural discovery Adaptive LASSO Gaussian quadrature EM algorithm
2015/5/21
Joint models of longitudinal and survival outcomes have been used with increasing frequency in clinical investigations. Correct specification of fixed and random effects, as well as their functional f...
Data Uncertainty in Markov Chains:Application to Cost-effectiveness Analyses of Medical Innovations
Markov Chain Uncertainty Colorectal Cancer Screening Cost-Effectiveness Analysis Health
2015/4/29
Data Uncertainty in Markov Chains:Application to Cost-effectiveness Analyses of Medical Innovations.
中山大学公共卫生学院医学统计学课件Chapter10 Statistical Analysis of Enumeration Data
中山大学公共卫生学院 医学统计学 课件 Chapter10 Statistical Analysis of Enumeration Data
2014/5/29
中山大学公共卫生学院医学统计学课件Chapter10 Statistical Analysis of Enumeration Data。
中山大学公共卫生学院医学统计学课件Chapter9 Statistical Analysis For Measurement Data
中山大学公共卫生学院 医学统计学 课件 Chapter9 Statistical Analysis For Measurement Data
2014/5/29
中山大学公共卫生学院医学统计学课件Chapter9 Statistical Analysis For Measurement Data。
Participation and performance trends in 6-hour ultra-marathoners – a retrospective data analysis of worldwide participation from 1991-2010 - See more at: http://www.jhse.ua.es/jhse/article/view/472#sthash.EhoxgmZi.dpuf
ultra-endurance running nationality age gender
2014/3/9
Participation trends in 6-hour ultra-marathons held word-wide were investigated to gain basic demographic data on 6-hour ultra-marathoners and where these races took place. Participation trends and th...
Cerebral Venous Sinus Thrombosis in Iran:Cumulative Data, Shortcomings and Future Directions
Sinus Thrombosis Intracranial Epidemiology Causality Clinical Manifestations
2015/9/28
Background: Cerebral venous sinus thrombosis (CVST) is a frequent cause of cerebrovascular disease in Iran.
Does the Missing Data Imputation Method Affect the Composition and Performance of Prognostic Models?
Data Multivariable imputation via chained equations Expectation maximum algorithm
2015/9/25
Background: We already showed the superiority of imputation of missing data (via Multivariable Imputation via Chained Equations (MICE) method) over exclusion of them; however, the methodology of MICE ...
Validation Of Temperament And Character Inventory (TCI) In Iranian Sample:Normative Data
Cloninger’s biological theorytemperament character inventory (TCIquestionnair)
2009/12/30
Background: This Study aimed to validate the temperament and character inventory (TCI) in an Iranian sample of men and women with different ages. TCI contains subscales designed to measure seven diffe...