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- Jun 18, 2013
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- Medical Student (Accepted)
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Trying to figure out which stats class to take: there is one "really easy" one and one that seems a bit more in depth. Thoughts on which one to take for med school? I'm leaning toward 511.
BIOST 310 Biostatistics for the Health Sciences (4)
Introduction to statistical methods for students panning on majoring in health sciences. Uses case studies and examples from popular and scientific literature to introduce topics such as data description, study design, screening, estimation hypothesis testing, categorical data analysis, and regression. Emphasizes concepts and interpretation rather than computation or theory. Offered: AW.
BIOST 511 Medical Biometry I (4)
Presentation of the principles and methods of data description and elementary parametric and nonparametric statistical analysis. Examples are drawn from the biomedical literature, and real data sets are analyzed by the students after a brief introduction to the use of standard statistical computer packages. Statistical techniques covered include description of samples, comparison of two sample means and proportions, simple linear regression and correlation. Offered: A.
BIOST 310 Biostatistics for the Health Sciences (4)
Introduction to statistical methods for students panning on majoring in health sciences. Uses case studies and examples from popular and scientific literature to introduce topics such as data description, study design, screening, estimation hypothesis testing, categorical data analysis, and regression. Emphasizes concepts and interpretation rather than computation or theory. Offered: AW.
BIOST 511 Medical Biometry I (4)
Presentation of the principles and methods of data description and elementary parametric and nonparametric statistical analysis. Examples are drawn from the biomedical literature, and real data sets are analyzed by the students after a brief introduction to the use of standard statistical computer packages. Statistical techniques covered include description of samples, comparison of two sample means and proportions, simple linear regression and correlation. Offered: A.

