Courses

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STAT 504 - Analysis of Discrete Data: https://online.stat.psu.edu/stat504/node/70/

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Analysis of Categorical Data: http://people.musc.edu/~bandyopd/bmtry711.11/

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Curriculum of MPH General Topics Biostatistics Environmental Health Epidemiology Health Policy & Management Leadership and Management Core Social & Behavioral Health Sciences Public Health Biology Analytical tools: R and SAS, EXCEL

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<< 基因 XII >> 分子生物学 molecule biology 细胞生物学 cell biology

MIT-2018 Fall-Introductory Biology MIT-2021 Spring-Introduction to Biology - The Secret of Life

wenwangtoddy Mit_ncsu_1@

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遗传学 Genetics

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statistical learning theory

• http://www.mit.edu/~9.520/fall18/
• http://maxim.ece.illinois.edu/teaching/spring18/index.html

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Deep Learning:

• https://cs230.stanford.edu/syllabus/
• http://cs231n.stanford.edu/2019/
• MIT 2020 introduction to deep learning
• Lulab: introduction to deep learning, fast take-off
• CS828 (A lot mathematics): http://www.cs.umd.edu/~djacobs/CMSC828DeepLearning/Syllabus18.htm
• CS 246, Stanford, Mining of Massive Datasets

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STAT 462- Regression method:

• https://online.stat.psu.edu/stat462/node/247/

STAT 501 - Regression method

• https://online.stat.psu.edu/stat501/

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Econometrics

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Statistical Analysis of Economic Data

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STAT 800 - Introduction to Applied Statistics

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Epidemology 流行病学

1.生理学:非常重要!!!!!无论如何一定要看很熟!!!! 2.生化:和生理结合着看，生化很多地方很难很细，自学也不能强求太多。看不懂就别看了。生化的内容在病理病生中也会被重复到的！！！ 3.病理学，病理生理学:重要!!!!!!可说是医学的基础，要是真把这两门看熟了其他差不多都会了。不过把这两门读通还是有一定难度的，如果自学也学可以挑自己有兴趣的系统。 4.微生物、免疫学:如果是说要自学可以避开这两门，有余力看熟是很好但免疫学年年科研进展很快， 对免疫系统一些基础的知识在病理也有重复到，而微生物现在生活中较少见，生活中遇到感染也大多是经验性使用抗生素和消炎止痛药。 5.药理学:结合在生理、病生的基础上看。自学可以选有兴趣的药看。如果生理病生学的好，一个药的机制瞬间懂。

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2020-Data analysis in Health Science-McGill U-Departement of Epidemiology and Biostatistics Health Services Research Methods-2020-U Colorado, Economics Department

2021-Biostats 640-UMass, for health an biology data analysis

• review of introductory biostatistics
• selected discrete distributions
• introduction to nonparametric tests
• analysis of epidemiological tables
• single and multiple predictor normal theory regression
• logistic regression
• introduction to survival analysis Umass-Linear Regression and Correlation 2021.pdf

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MIT: Machine learning in Genomics, video, lecture note, and books MIT-2021 spring- Deep Learning in Life Sciences MIT-2015-Mathematics of Machine Learning

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2021 spring Stanford-Cloud Computing for Biology and Healthcare 2021-Biomedical Data Science in R