BIODS 215: Topics in Biomedical Data Science: Largescale inference
The recent explosion of data generated in the fields of biology and medicine has led to many analytical challenges and opportunities for understanding human health. This graduatelevel course focuses on methodology for largescale inference from biomedical data. Topics include onedimensional and multidimensional probability distributions; hypothesis testing and model comparison; statistical modeling; and prediction. This course will place a special emphasis on applications of these approaches to i) human genetic data; ii) hospital inpatient and health questionnaire data, which is increasingly available with the emergence of large precision initiatives like the UK Biobank and Precision Medicine Initiative; and iii) wearable and social network data.
Terms: Win

Units: 23

Grading: Medical Option (MedLtrCR/NC)
BIODS 260B: Workshop in Biostatistics (STATS 260B)
Applications of statistical techniques to current problems in medical science. To receive credit for one or two units, a student must attend every workshop. To receive two units, in addition to attending every workshop, the student is required to write an acceptable one page summary of two of the workshops, with choices made by the student.
Terms: Win

Units: 12

Repeatable for credit

Grading: Medical Satisfactory/No Credit
Instructors:
Sabatti, C. (PI)
;
Zou, J. (PI)
BIODS 299: Directed Reading and Research
For students wishing to receive credit for directed reading or research time. Prerequisite: consent of instructor.
Terms: Aut, Win, Spr, Sum

Units: 118

Repeatable for credit

Grading: Medical Option (MedLtrCR/NC)
Instructors:
Bustamante, C. (PI)
;
Hastie, T. (PI)
;
Olshen, R. (PI)
...
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Instructors:
Bustamante, C. (PI)
;
Hastie, T. (PI)
;
Olshen, R. (PI)
;
Rivas, M. (PI)
;
Sabatti, C. (PI)
;
Salzman, J. (PI)
;
Tibshirani, R. (PI)
;
Zou, J. (PI)