Case-Based Introduction to Biostatistics (27 files)
 1 - 1 - 1.1. The Scientific Method (1923).mp4 |
27.51MB |
| 1 - 10 - 1.6A Gaussian Distribution Central Limit Theorum (1008).mp4 |
9.46MB |
| 1 - 11 - 1.6B Gaussian Distribution Key Facts (548).mp4 |
5.58MB |
| 1 - 2 - 1.2. On Cause (934).mp4 |
13.28MB |
| 1 - 3 - 1.3. On Probability (3737).mp4 |
38.96MB |
| 1 - 4 - 1.4A Probability Distributions Mean Median (854).mp4 |
8.81MB |
| 1 - 5 - 1.4B Probability Distributions Mean Median Spread (620).mp4 |
6.11MB |
| 1 - 6 - 1.4C Probability Distributions Shape (723).mp4 |
7.25MB |
| 1 - 7 - 1.5A Binomial Distribution Parameters (724).mp4 |
7.16MB |
| 1 - 8 - 1.5B Binomial Distribution What Do Binomial Distributions Look Like (958).mp4 |
9.37MB |
| 1 - 9 - 1.5C Binomial Distribution General Binomial Formula (914).mp4 |
8.64MB |
| 2 - 1 - 2.1A Distribution of medical expenditures (1235).mp4 |
11.13MB |
| 2 - 10 - 2.4A Stratification and Confounding (1207).mp4 |
11.47MB |
| 2 - 11 - 2.4B Pooling Across Strata to Reduce Confounding (1605).mp4 |
15.27MB |
| 2 - 2 - 2.1B Distribution of medical expenditures Stem Leaf Plots (1231).mp4 |
11.34MB |
| 2 - 3 - 2.1C Distribution of medical expenditures Boxplots (953).mp4 |
9.09MB |
| 2 - 4 - 2.2A Confidence Intervals (1152).mp4 |
11.62MB |
| 2 - 5 - 2.2B Confidence Intervals Continued (1035).mp4 |
10.35MB |
| 2 - 6 - 2.3A Comparing Distributions Q-Q Plots (1814).mp4 |
18.43MB |
| 2 - 8 - 2.3B1 Confidence Intervals for Difference of Means Part 1 (720).mp4 |
7.00MB |
| 2 - 9 - 2.3B2 Confidence Intervals for Difference of Means Part 2 (759).mp4 |
7.59MB |
| 3 - 1 - 3.1. Scientific Background for NNIPS-II study (816).mp4 |
9.65MB |
| 3 - 2 - 3.2A Inference with Proportions (15-37).mp4 |
15.33MB |
| 3 - 3 - 3.2B Invariance with Odds Ratios (7-26).mp4 |
7.18MB |
| 3 - 4 - 3.3A Logistic Regression (1030).mp4 |
10.57MB |
| 3 - 5 - 3.3B Logistic Regression Continued (1411).mp4 |
13.71MB |
| Thumbs.db |
227.33kB |
Type: Course
Bibtex:
Bibtex:
@article{,
title= {[Coursera] Case-Based Introduction to Biostatistics},
keywords= {statistics, biostatistics, public health},
journal= {},
author= {Scott Zeger},
year= {2014},
url= {},
license= {},
abstract= {Introductory biostatistics course taught by Dr Scott L. Zeger of John Hopkins Bloomberg School of Public Health.
This course teaches key statistical principles and some methods that will enable you to reason more carefully and critically about scientific questions.
The course is case based so that each principle or method will be introduced through a case study. This course is designed around a few important health questions.},
superseded= {},
terms= {}
}