# Wiki for statistical consulting

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This is the wiki for the [http://www.yorku.ca/isr/scs/ Statistical Consulting Service] at York University. You can make [http://www.appointmentquest.com/provider/2000199121 appointments online] to see one of our consultants. | This is the wiki for the [http://www.yorku.ca/isr/scs/ Statistical Consulting Service] at York University. You can make [http://www.appointmentquest.com/provider/2000199121 appointments online] to see one of our consultants. | ||

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Suggestion: to discuss the structure of the wiki, click on the discussion tab above. | Suggestion: to discuss the structure of the wiki, click on the discussion tab above. |

## Revision as of 13:28, 7 September 2018

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 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.

- Lane, D.M., & Sandor, A. (2009). Designing better graphs by including distributional information and integrating words, numbers, and images.

### 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

**Did you know?**