Biostatistics Research Curriculum
Topics
in This Section
- Fellowships and Openings
- NCI Curriculum
- NCI Requirements
- Cancer Screening/Risk Assessment Curriculum
- Behavioral Research Curriculum
- Human Genetics Research Curriculum
- Biostatistics Research Curriculum
- Epidemiologic Research Curriculum
- Carcinogenesis Research Curriculum
- Chemoprevention Research Curriculum
- Decision Science and Health Informatics Curriculum
Lecture 1: "The Role of Statistics in Scientific Research" by Eric Ross, PhD
Topics: Fundamental concepts such as probability, inference and estimation will be discussed. Case studies of data analysis, descriptive statistics, statistical modeling, and decision theory will be presented.
Learning Objectives: At the completion of this module, the trainee will have a basic understanding of principles of statistics including simple mean, standard deviation, sample size, study bias, interpretation of p value.
Lecture 2: "Experimental Design" by Samuel Litwin, PhD
Topics: Issues on how to design a sound scientific study will be presented. Different types of studies (e.g., clinical, epidemiological trials, experimental studies, etc) will be critically discussed, using in-house and published cases. Important issues such as formulation of testable hypothesis, analytical procedures, and sample size considerations, will be discussed.
Learning Objectives: At the completion of this set of presentations, the trainee will have the basic elements to design a sound scientific study, will be familiar with the language and concepts necessary to successfully interact with professional statisticians, and will be able to critically assess the quality of papers and research protocols from a statistical perspective.

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