Scientific Methods for Health Sciences: HS 550: Schedule

Fall 2014: HS 550: Schedule

Scientific Methods for Health Sciences: Fundamentals

The table below shows an outline of the material we plan to cover throughout the semester. Students do not need to read ahead of lecture, however after each class should review the covered topics from the Scientific Methods for Health Sciences EBook. Although we meet for half a day each month, we will try to cover most sections listed around each face-to-face class time. The weekly and daily breakdown of topics is provides to aid students that may prefer to have a more structured self-guided study plan.

HS 550 Fall'14 Week	Dates	Monday	Wednesday	Friday
1	9/1/2014	Syllabus	EDA/Charts	Intrinsic/Extrinsic Process variability
EDA/Charts		Gradebook, Expectations, HWs, Website
Variation

2	9/8/2014	Fundamentals	Fundamentals	Fundamentals/Rules
Probability
Rules

3	9/15/2014	Rules	Rules	Counting
Probability
Counting
Bayesian, Total Prob
4	9/22/2014	Odds Ratio	Relative Risk	Applications
OR/RR
				Project1

5	9/29/2014	Measures of Centrality	Measures of Variability	Measures of Shape
Centrality
Variation

6	10/6/2014	Random Variables/Expectation/Variance	Discrete Probability Distributions	Continuous Probability Distributions
Distributions


7	10/13/2014	Distributome Resource	Normal Probability Model	Applications
Distributions		Distribution Modeler


8	10/20/2014	Limiting/Asymptotic results	Simulation and Experiments	Normal/Poisson Approximation to Binomial
Distribution Relationships		CLT, LLN	CLT Activity
			Estimation of π

9	10/27/2014	Design of Experiments	Intro to Epidemiology	Intro to Epidemiology
Design of Experiments		Experiments vs. Observational studies
Experiments vs. Observational studies				Project2
Epi
10	11/3/2014	Estimation	Bias/Precision of Estimators	Approaches for point-based estimation
Estimation		Margin of Error
Bias/Precision

11	11/10/2014	Midterm Exam	Small/Large Samples	Small/Large Samples
Parametric Inference		Fundamentals of Inference	Means, Proportions, Variances	Means, Proportions, Variances
Hypothesis testing		Review of End-of-term Research Paper/Project
Power, sample-size, effect-size, sensitivity, specificity
12	11/17/2014	1, 2, or more samples	Type I and Type II errors	Type I and Type II errors
Power, sample-size, effect-size, sensitivity, specificity		Paired data	Power	Power
Clinical vs. Stat significance			Sample-sizes	Sample-sizes

13	11/24/2014	Correlation		Regression
Correlation		Properties		Project3
Regression

14	12/1/2014	Resampling and Simulation	Bootstrap Inference	Bootstrap Inference
Resampling
Simulation

15	12/8/2014	Rate of Change	Association vs. Causality	Applications
Rate of Change		Review of End-of-term Research Paper/Project
Association vs. Causality

Final	12/15/2014	Research Paper Due

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