Applied Statistics and Data Science Group
The Applied Statistics and Data Science Group (ASDa) is the research support and general statistical consulting group of the Department of Statistics at the University of British Columbia.
By applying best practices and capitalizing on their working relationships with leading data science researchers, the professional statistical consultants and scientific programmers can help you with all of your data analytics needs, from study design and grant proposal support, analysis, and hands-on training.
|Intermediate R programming||
1:00pm – 4:00pm each day Nov 18 & 20 (M/W). In this workshop, you use R as a programming environment, allowing you to write more complex, yet clearer data analysis code. We will teach you three fundamental concepts of R programming: functions, classes, and packages.
|18 November 2019 - 1:00pm||Research Skills|
|Introduction to R||
In this workshop, you are introduced to R and RStudio at the beginner level. This condensed 2-hour workshop is meant to get you started in R and acts as a pre-requisite for ALL of other ECOSCOPE R Series workshops
|6 February 2020 - 2:00pm||Research Skills|
|Statistical Models in R||
1:00pm – 4:00pm each day Feb 11 & 13 (T/Th). In this workshop series, we introduce various types of regression models and how they are implemented in R. We will cover linear regression, ANOVA, ANCOVA and mixed effects models for continuous response data, logistic regression binary response data, and Poisson and Negative Binomial regression for count response data.
|11 February 2020 - 1:00pm||Research Skills|
|Statistics III: Two Group Comparisons and ANOVA Models (via Webinar)||
We will introduce some statistical concepts such as mean, variance, hypothesis testing, statistical significance and distribution of the sample mean. We will provide a detailed discussion of how to compare data from two groups or conditions using a t-test and discuss the assumptions involved. Non-parametric alternatives to t-tests will also be covered.
|10 December 2019 - 10:00am||Academic Support and Success, Research Skills|
|Statistics IV: Quantitative Covariates and Regression Analysis (via Webinar)||
We will start with a simple correlation analysis for two quantitative variables, and then discuss modelling the relationship between two quantitative variables by simple linear regression. We will introduce the least squared estimation method that is used to estimate the linear regression coefficients.
|22 January 2020 - 10:00am||Academic Support and Success, Research Skills|
|Statistics V: Discrete Data - Counts and Proportions||
We will show how to compare two groups when the response is binary or count data and cover what happens if we have more than two groups or more than one predictor whether numeric or categorical. We will introduce logistic, Poisson, negative binomial regression analysis and generalized linear models and show how to interpret the model coefficients in each case.
|12 February 2020 - 10:00am||Academic Support and Success, Research Skills|
|Statistics VI: Introduction to Mixed Effects Models (via Webinar)||
Methods like Regression and ANOVA model the mean structure of the observed data while making specific assumptions about the variance. We will demonstrate with examples that ignoring the lack of independence due to repeated measurements on the same unit or clusters of related units may lead to wrong conclusions.
|26 February 2020 - 10:00am||Academic Support and Success, Research Skills|
|The R Tidyverse||21 January 2020 - 1:00pm||Research Skills|
|Free Statistics Consulting||
The Statistical Opportunity for Students (SOS) program provides one hour of free statistical advice, based on a submitted project description, to any UBC graduate student. Visit the SOS program page for full details. The SOS program is made possible through funding support from the Office of the Provost and Vice President, Research and Innovation.
|Academic Support and Success, Research Skills|