Quantitative Human Physiology
Directions
1
Blood
1.1
How to solve an estimation problem
1.2
Problem set
2
Immune
2.1
Combinations
2.2
Problem set
3
Cardiovascular
3.1
Background
3.2
Problems
4
Resipiratory – Why we need Hemoglobin
4.1
How much O2 can dissolve into blood?
5
Renal
5.1
A back of the envelope calculation of GFR
5.2
Using renal clearance to measure GFR in an indivudal
6
Fluid and electrolyte balance
7
Digestion, Nutrition, and Metabolism
7.1
Estimating Causal Effects
7.2
Simulation 1
7.2.1
Step 1. Set up the parameters
7.2.2
Step 2. Generate fake data
7.2.3
Step 3. Fake data check
7.2.4
Step 4. Does a statistical model recover the known effect?
7.2.5
What you did
7.2.6
The model you fit is
7.3
Simulation 2
7.3.1
Step 5. Set up the parameters
7.3.2
Step 6. Generate fake data
7.3.3
Step 7. Fake data check
7.3.4
Step 8. Does a statistical model recover the known effect?
7.3.5
What’s going on is the whole point of this exercise
7.4
Questions
7.4.1
Simulation 1
7.4.2
Simulation 2
7.4.3
Simulation 2 with new parameters
8
Metabolism
9
Physiological Genetics
10
Cancer
10.1
Numerical Self-Discovery
10.1.1
Step 1
10.1.2
Step 2
10.1.3
Step 3
10.1.4
Step 4
10.1.5
Step 5
10.1.6
Step 6
10.1.7
Step 7
10.2
Stuff to explore
10.2.1
Getting to know the model
10.2.2
A wee bit more to explore
10.2.3
Yet more stuff to explore
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Quantitative Human Physiology
Problem Set 6
Fluid and electrolyte balance