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STATISTICS IN HUMAN GENETICS

BMI/STAT 620
과목 설명

Provides a comprehensive survey of statistical methods in human genetics research. Covered topics include linkage analysis, genome-wide association study, rare variant association analysis, meta-analysis, genome and variant annotation, heritability estimation, multi-trait modeling techniques, multi-omic data integration, and genetic risk prediction.

선수과목

STAT 333 , STAT 340 , or graduate/professional standing

충족 요건

This course does not satisfy any prerequisites.

학점

미보고

개설 시기

미보고

평점
3.91

과거 데이터 대비 변화 없음

수료율
100%

과거 데이터 대비 변화 없음

A 비율
97.78%

과거 데이터 대비 변화 없음

학급 규모
45

과거 데이터 대비 변화 없음

Cumulative Grade Distribution

강사 (2026 Summr)

다음 사이트의 평점순으로 정렬 Rate My Professors

유사 과목

HUMAN GENETICS

GENETICS/MDGENET 565

Principles, problems, and methods of modern human genetics. Focuses on how researchers discover the genetics of diseases and how those discoveries are used to improve clinical practice. Surveys aspects of (i) the molecular function of the human genome, (ii) the basic principles of human genetics including statistical genetics, quantitative genetics, and genomic variation in human populations, (iii) the genetics of rare disorders and common diseases, and genomic analysis approaches, including genome-wide association studies and sequencing, and (iv) how genetics are used in medicine and discussions covering ethical considerations of human genomic data.

INTRODUCTION TO BIOSTATISTICS

BMI/STAT 541

Course designed for the biomedical researcher. Topics include: descriptive statistics, hypothesis testing, estimation, confidence intervals, t-tests, chi-squared tests, analysis of variance, linear regression, correlation, nonparametric tests, survival analysis and odds ratio. Biomedical applications used for each topic.

SPECIAL TOPICS IN BIOSTATISTICS AND BIOMEDICAL INFORMATICS

BMI 826

Covers advanced topics in the areas of biostatistics and biomedical informatics. Includes reading and discussion of original literature and individual student projects.

STATISTICAL METHODS FOR MOLECULAR BIOLOGY

BMI/STAT 877

Statistical and computational methods in statistical genomics for human and experimental populations. Review methods for quality control, experimental design, clustering, network analysis, and other downstream analysis of next-generation sequencing studies along with methods for genome wide association studies.

QUANTITATIVE RESEARCH AND RIGOR IN GENETICS

GENETICS 807

Combines review of key statistical concepts needed for genetics research with discussions of contemporary debates and common pitfalls in the application of quantitative methods specific to genetics research. Use statistical software to explore and apply statistics to genetic inference, with an emphasis on computationally intensive methods, including group coding exercises and case studies of genetics problems. Engage with contemporary ideas around study design, transparency, rigor and reproducibility in genetics research.