Open twang15 opened 3 years ago
Analysis of Categorical Data: http://people.musc.edu/~bandyopd/bmtry711.11/
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
<< 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@
遗传学 Genetics
statistical learning theory
Deep Learning:
STAT 462- Regression method:
STAT 501 - Regression method
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。
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
STAT 504 - Analysis of Discrete Data: https://online.stat.psu.edu/stat504/node/70/