Course description: Examines statistical approach to scientific inference; how to produce effective graphical and tabular displays of research information and aspects of the design and analysis of data from observational and experimental clinical studies.
Course objectives: Read, understand, and critically discuss quantitative methods used in the scientific literature on clinical investigation. Analyze and interpret basic quantitative data.
Required text: Dawson and Trapp Recommended: Gonick and Smith
Useful links: [ General course info | JHSPH Biostatistics Center | Academic calendar ]
IMPORTANT! Here are the instructions for the final report. You should write a candid and objective critique, so you shouldn't be a co-author on the paper that you critique for the report.
Notes / Reading / Homework
| Date | N | R | H | Topic | |
| March | 15 | |
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Logistic regression, survival analysis, prediction. | |
| March | 8 | |
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Correlation and regression. | |
| March | 1 | |
|
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Analysis of variance. |
| February | 22 | |
|
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Goodness of fit, contingency tables. |
| February | 15 | |
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Inference about two groups, maximum likelihood estimation. |
| February | 8 | Class canceled | |||
| February | 1 | |
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Multiple random variables, sampling distributions, inference about one group. |
| January | 25 | |
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Introduction, summarizing and presenting data, statistics and probability, random variables and distributions. |