BI 612

Advanced Biostatistics

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This course examines the totality of issues related to data collection, management and analysis for biologists: from the development of hypotheses, the design of experiments, measurement and sampling, to statistical analyses and final publication of results in formats acceptable for scientific reports and papers. Emphasis is placed on the application of a wide variety of statistical methods (using statistical software) rather than theory; the course stresses the practical aspects of biostatistics using a problem solving approach to graduate research planning, data acquisition, analysis and publication. Prerequisite: An undergraduate class in statistics is strongly encouraged.

This course examines the totality of issues related to data collection, management and analysis for biologists: from the development of hypotheses, the design of experiments, measurement and sampling, to statistical analyses and final publication of results in formats acceptable for scientific reports and papers. Emphasis is placed on the application of a wide variety of statistical methods (using statistical software) rather than theory; the course stresses the practical aspects of biostatistics using a problem solving approach to graduate research planning, data acquisition, analysis and publication. Prerequisite: An undergraduate class in statistics is strongly encouraged.

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This course examines the totality of issues related to data collection, management and analysis for biologists: from the development of hypotheses, the design of experiments, measurement and sampling, to statistical analyses and final publication of results in formats acceptable for scientific reports and papers. Emphasis is placed on the application of a wide variety of statistical methods (using statistical software) rather than theory; the course stresses the practical aspects of biostatistics using a problem solving approach to graduate research planning, data acquisition, analysis and publication. Prerequisite: An undergraduate class in statistics is strongly encouraged.

BI 612

Advanced Biostatistics

0%Liked

Easy

0%

Useful

0%

0 ratings

This course examines the totality of issues related to data collection, management and analysis for biologists: from the development of hypotheses, the design of experiments, measurement and sampling, to statistical analyses and final publication of results in formats acceptable for scientific reports and papers. Emphasis is placed on the application of a wide variety of statistical methods (using statistical software) rather than theory; the course stresses the practical aspects of biostatistics using a problem solving approach to graduate research planning, data acquisition, analysis and publication. Prerequisite: An undergraduate class in statistics is strongly encouraged.

This course examines the totality of issues related to data collection, management and analysis for biologists: from the development of hypotheses, the design of experiments, measurement and sampling, to statistical analyses and final publication of results in formats acceptable for scientific reports and papers. Emphasis is placed on the application of a wide variety of statistical methods (using statistical software) rather than theory; the course stresses the practical aspects of biostatistics using a problem solving approach to graduate research planning, data acquisition, analysis and publication. Prerequisite: An undergraduate class in statistics is strongly encouraged.

0%Liked

Easy

0%

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This course examines the totality of issues related to data collection, management and analysis for biologists: from the development of hypotheses, the design of experiments, measurement and sampling, to statistical analyses and final publication of results in formats acceptable for scientific reports and papers. Emphasis is placed on the application of a wide variety of statistical methods (using statistical software) rather than theory; the course stresses the practical aspects of biostatistics using a problem solving approach to graduate research planning, data acquisition, analysis and publication. Prerequisite: An undergraduate class in statistics is strongly encouraged.