BIOSTAT 200: Biostatistical Methods for Clinical Research I (Fall 2015)
Section outline
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Assignments -- All assignments are now posted within the date assigned Folder
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Lecture: Orientation to Biostat 200, types of statistical variables, univariate data summary, and graphical analysis
This lecture will include an overview of the course and expectations. Introduction to descriptive statistical analysis including definition of different types of variables, construction of frequency tables, measures of centrality (means, median, mode, range), standard deviation, and graphs (histograms, box plots, scatter plots, line graphs).
Faculty: Judith Hahn
Location: Mission Hall 1400 -
Office Hours
Faculty: Judith Hahn
Location: Mission Hall 1400 -
Computer Lab
Review of previous lecture and assigned materialFaculty: Judith Hahn, Melissa Fernandes, Simon Pollett, Kristen Aiemjoy, Kathryn Ray
Location: Mission Hall 1400 -
Lecture: Data cleaning and basic probablility concepts
We will start the lecture discussing real world data cleaning. We will then pivot to define the basic probability terms and probality statements needed as a foundation for more advance statistical concepts. We will apply these concepts by discussing Bayes theorem and diagnostic testingFaculty: Judith Hahn
Location: Mission Hall 1400 -
Office Hours
Faculty: Judith Hahn
Location: Mission Hall 1400 -
Computer Lab
Faculty: Judith Hahn, Melissa Fernandes, Simon Pollett, Kristen Aiemjoy, Kathryn Ray
Review of previous lecture and assigned material
Location: Mission Hall 1400 -
Lecture: Theoretical probability distributions (binomial, poisson, normal)
We will discuss the meaning of theoretical statistical distributions and examine the binomial distribution. This lecture will build on the concepts of probability and discuss the properties of the binomial, poisson and normal distributions.Faculty: Judith Hahn
Location: Mission Hall 1400 -
Office Hours
Faculty: Judith Hahn
Location: Mission Hall 1400 -
Computer Lab
Faculty: Judith Hahn, Melissa Fernandes, Simon Pollett, Kristen Aiemjoy, Kathryn Ray
Review of previous lecture and assigned material
Location: Mission Hall 1400 -
Lecture: Sampling distribution and confidence intervals
This lecture will discuss the concept of sampling, of sampling distributions, and the central limit theorem. We will use the central limit theorem to derive confidence intervals for means and proportions.Faculty: Judith Hahn
Location: Mission Hall 1400 -
Office Hours
Faculty: Judith Hahn
Location: Mission Hall 1400 -
Computer Lab
Faculty: Judith Hahn, Melissa Fernandes, Simon Pollett, Kristen Aiemjoy, Kathryn Ray
Review of previous lecture and assigned material
Location: Mission Hall 1400 -
Lecture: Hypothesis testing, comparison of one mean and one proportion
This lecture will introduce hypothesis testing and the associated terminology for one-sided and two-sided hypothesis tests. This lecture will demonstrate hypothesis testing of one mean and one proportion.Faculty: Judith Hahn
Location: Mission Hall 1400 -
Office Hours
Faculty: Judith Hahn
Location: Mission Hall 1400 -
Computer Lab
Faculty: Judith Hahn, Melissa Fernandes, Simon Pollett, Kristen Aiemjoy, Kathryn Ray
Review of previous lecture and assigned material
Location: Mission Hall 1400 -
Lecture: Comparison of two means, and comparison of two proportions
In this lecture we will extend hypothesis testing to the comparison of two means and two proportions.Faculty: Judith Hahn
Location: Mission Hall 1400 -
Office Hours
Faculty: Judith Hahn
Location: Mission Hall 1400 -
Computer Lab
Faculty: Judith Hahn, Melissa Fernandes, Simon Pollett, Kristen Aiemjoy, Kathryn Ray
Review of previous lecture and assigned material
Location: Mission Hall 1400-
Assignment 6 answers File
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Lecture: Analysis of variance, nonparametric testing, and review of hypothesis testing
In this lecture we will discuss analysis of variance to compare multiple means, as well as non-parametric tests including the sign test, the Wilcoxon signed-rank test, and the Wilcoxon rank sum test. We will also review the hypothesis testing methods that we have covered in prior lectures.
Faculty: Judith Hahn
Location: Mission Hall 1400 -
Office Hours
Faculty: Judith Hahn
Location: Mission Hall 1400 -
Computer Lab
Review of previous lecture and assigned materialFaculty: Judith Hahn, Melissa Fernandes, Simon Pollett, Kristen Aiemjoy, Kathryn Ray
Location: Mission Hall 1400-
Please complete this survey by noon on October 28th. (It will only take 30 seconds).
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Lecture: Contingency tables, McNemar's test, relative risks, and odds ratios
In this lecture we will discuss the construction of contingency tables and learn the chi-square test for independence for examining categorical data. We will start with 2x2 tables and move to larger tables, and we will discuss relative risks and odds ratios and calculate confidence intervals for these measures. We will discuss the use of McNemar’s test to examine paired dichotomous data.Faculty: Judith Hahn
Location: Mission Hall 1400 -
Office Hours
Faculty: Judith Hahn
Location: Mission Hall 1400 -
Computer Lab
Review of previous lecture and assigned materialFaculty: Judith Hahn, Melissa Fernandes, Simon Pollett, Kristen Aiemjoy, Kathryn Ray
Location: Mission Hall 1400 -
Lecture: Correlation and simple linear regression
In this lecture we will define and show the calculation for Pearson and Spearman correlation coefficients and introduce the simple linear regression model
Faculty: Judy Hahn
Location: Mission Hall 1400
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Computer Lab:Faculty: Judith Hahn, Melissa Fernandes, Simon Pollett, Kristen Aiemjoy, Kathryn Ray
Location: Mission Hall 1400 -
Lecture: Simple linear regression and multiple linear regression
In this lecture we will introduce prediction intervals, regression diagnostics, and transformations as well as multiple linear regression
Faculty: Judith Hahn
Location: Mission Hall 1400 -
Office Hours
Faculty: Judith Hahn
Location: Mission Hall 1400 -
Computer Lab
Review of previous lecture and assigned materialFaculty: Judith Hahn, Melissa Fernandes, Simon Pollett, Kristen Aiemjoy, Kathryn Ray
Location: Mission Hall 1400 -
Lecture: Multiple linear regression and logistic regression
In this lecture we will continue the topic of multiple linear regression and introduce logistic regression. We will discuss the model and interpretation of the parameters.Faculty: Judy Hahn
Location: Mission Hall 1400 -
Office Hours
Faculty: Judith Hahn
Location: Mission Hall 1400 -
Computer Lab
Review of previous lecture and assigned materialFaculty: Judith Hahn, Melissa Fernandes, Simon Pollett, Kristen Aiemjoy, Kathryn Ray
Location: Mission Hall 1400 -
Lecture:
Faculty: Judy Hahn
Location: Mission Hall 1400
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Office Hours
Faculty: Judith Hahn
Location: Mission Hall 1400
