University of California-Irvine · Mathematics & StatisticsNan Statistics Lab
Bin Nan · Irvine, California
Research Focus
Dr. Bin Nan's lab at UC Irvine focuses on developing statistical methods to improve research on Alzheimer's disease and aging. The lab works on methodologies for analyzing complex data from cohort studies, particularly for underrepresented populations. By creating new predictive models and statistical software, the lab aims to enhance our understanding of Alzheimer's etiology, prevalence, and prevention strategies.
Alzheimer's DiseaseCohort StudiesCensored Survival DataStatistical MethodsPublic HealthPredictive ModelingAging ResearchHealth Disparities
Research Aims
5AIM 01Develop new statistical methodologies for analyzing censored survival data.
AIM 02Create predictive models for recurrent events in Alzheimer's research.
AIM 03Investigate relationships between life events and Alzheimer's onset.
AIM 04Design publicly available statistical software for researchers.
AIM 05Analyze health-related data for underrepresented populations in aging studies.
Skills the Lab Values
Statistical Software DevelopmentCensored Data AnalysisPredictive ModelingData InterpretationSurvival AnalysisCohort Study DesignROC Curve AnalysisRegression Analysis
Output against the department
Publications192bottom 40% of dept.78th of 131
this lab
most publishedleast published
Citations6.4kbottom 44% of dept.74th of 131
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.