Wiki for statistical consulting
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== Seminars == | == Seminars == | ||
| + | * [[SCS Reads 2019-2020|SCS Reads 2019-2020 ????????]] | ||
* [[SCS Reads 2018-2019|SCS Reads 2018-2019 ????????]] | * [[SCS Reads 2018-2019|SCS Reads 2018-2019 ????????]] | ||
* [[SCS Reads 2017-2018|SCS Reads 2017-2018 Counterfactuals and Causal Inference]] | * [[SCS Reads 2017-2018|SCS Reads 2017-2018 Counterfactuals and Causal Inference]] | ||
Revision as of 12:45, 30 August 2019
This is the wiki for the Statistical Consulting Service at York University. You can make appointments online to see one of our consultants.
Change
Suggestion: to discuss the structure of the wiki, click on the discussion tab above.
If you would like to have an account on this wiki, please contact Georges Monette [1].
Hot topics
- Contribute to the list of programs in Data Sciences.
- Sometimes Asked Questions
- It would be a great contribution to compile a list of exemplary subject-matter papers reporting statistical methods, especially modern methods such as longitudinal data analysis, etc.
Contents |
Seminars
- SCS Reads 2019-2020 ????????
- SCS Reads 2018-2019 ????????
- SCS Reads 2017-2018 Counterfactuals and Causal Inference
- SCS Reads 2016-2017 Rethinking Statistics
- SCS Reads 2015-2016 Bayesian Statistics in the Social Sciences
- SCS Reads 2014-2015
- Past and current nominations for SCS Reads
- SCS Reads -- past seminars
Statistical Seminars in the Toronto Area
Workshops and Courses
- ICPSR 2017 Course in Longitudinal Data Analysis with Mixed and Bayesian Models
- SCS 2017 Models and Analysis for Longitudinal and Nested Data
- SCS 2014: Visualizing Regression
- Mixed Models with R
- SPIDA 2012: Mixed Models with R
- SCS 2012: Mixed Models with R
- SCS 2011: Statistical Analysis and Programming with R
- SCS 2012: A Gentle Introduction to R
- MATH 6627 Practicum in Statistical Consulting
- MATH 6643 Summer 2012 Applications of Mixed Models
Methods
Data Analysis
- Latent Variable Models (e.g. SEM, CFA, IRT, LCA)
- General Linear Models (e.g. multiple regression, ANOVA)
- Categorical Data Analysis (e.g.contingency tables, chi-square, logistic regression)
- Aggregate Data (e.g. meta-analysis)
Displaying Data and Reporting
- Good papers on graphs:
- Lane, D.M., & Sandor, A. (2009). Designing better graphs by including distributional information and integrating words, numbers, and images. Psychological Methods, 14, 239-257.
- Kastellec, J. P. and Leoni, E. L. (2007) Using Graphs Instead of Tables in Political Science, Perspectives on Politics, 5, 755--771.
- See also the related web site for Kastellec & Leoni, Using Graphs Instead of Tables.
Statistical Topics
- Causality
- Model Selection
- Programs in Data Sciences
- Professional Accreditation
- Statistics
- Statistics in the News
Statistical Consulting Support
- Janice Derr on the Qualities of an Effective Statistical Consultant File:Janice Derr on Consulting.pdf
Software
- R
- SAS
- SPSS/PASW
- PSPP: open-source package inspired by SPSS
- MPlus
- How to access software remotely from York's WebFAS system:
Local R packages
The 'spida' and 'p3d' packages are now available through github with
- devtools::install_github('gmonette/spida2') and
- devtools::install_github('gmonette/p3d')
respectively.
SCS Administration
Interesting Links
Statistical consulting services at other universities
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