Spring 2027

Survival Analysis Theory and Methods

Survival Analysis Theory and Methods covers analytic methods for censored survival data, including nonparametric and parametric methods, proportional hazards regression, and current topics.

offering recorded3 credits
Recorded instructors · Spring 2027 Lu Mao

Summary

1 / 3

Recent recorded grades — Spring 2024: 3.50 GPA, 70.8% A/AB (n=24 letter grades); Spring 2025: 3.55 GPA, 90.0% A/AB (n=20 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=16 letter grades).

What you’ll be able to do

  • Summarize the features of censored data and their implications in drawing inference

  • Implement proper non- and semi-parametric methods for analysis of various types of data

  • Recognize and check the assumptions needed for estimation and inference

  • Implement the inference procedures to solve real-world problems using statistical packages such as R (or SAS)

  • Interpret and present the analytic results in a clear and coherent way to answer substantive questions

Source: UW Guide 1 UW Guide 2

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

Graduate/professional standing

  • Graduate/professional standing
BMI/STAT 741

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Graduate/professional standing

Professors

Spring 2027

Lu Mao

Recent recorded grades — Spring 2024: 3.50 GPA, 70.8% A/AB (n=24 letter grades); Spring 2025: 3.55 GPA, 90.0% A/AB (n=20 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=16 letter grades).

Historical instructors & teaching patterns

LU MAO is recorded teaching in Fall 2017, Spring 2020, Spring 2022, Spring 2023, Spring 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 200
LEC 001Classroom Instruction0 / 200

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records
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Student experience

the class

Recent recorded grades — Spring 2024: 3.50 GPA, 70.8% A/AB (n=24 letter grades); Spring 2025: 3.55 GPA, 90.0% A/AB (n=20 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=16 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Analytic methods for censored survival data
  • Nonparametric and parametric methods
  • Proportional hazards regression model
  • Current topics in survival analysis

Skills

  • Summarizing features of censored data and their implications for inference
  • Implementing non- and semi-parametric methods for data analysis
  • Recognizing and checking assumptions for estimation and inference
  • Using statistical packages like R or SAS to implement inference procedures
  • Interpreting and presenting analytic results coherently

Grades

Latest available · Spring 2026— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Spring 2026

More grade details Grade mix, volume & source data

Not enough comparable courses for Spring 2027 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

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Selected offering source records
BMI/STAT 741 · Spring 2027

Survival Analysis Theory and Methods

Recorded 2026-10-14
BMI/STAT 741 · Spring 2027

Survival Analysis Theory and Methods

Recorded 2026-10-14
Raw records 
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    "credits_min": 3,
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    "title": "Survival Analysis Theory and Methods",
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    "typically_offered": "Occasionally"
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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "d94fc433c1db6af1d4362348d7fe03e0ecc21c7707a37b4d92e75cdf930b657b",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
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}