Workshop Outline:

1. Statistical methods: to explore the effects of patients’ demographic and clinical factors on health outcomes, participants will learn four multivariable regression models for four different types of outcomes:

• Linear regression for continuous outcomes such as biomarker levels
• Logistic regression for binary outcomes such as treatment success or failure
• Cox regression for time-to-event outcomes
• Generalized linear regression for longitudinal outcomes that are measured sequentially over time from the same patients.

2. SPSS program: participants will have an opportunity to

• Perform statistical procedures using mouse clicks on the drop-down menu in SPSS
• Learn how to interpret SPSS outputs
• Learn how to edit and present SPSS outputs in manuscript

How to access free version of SPSS

Participants are welcome to use their own SPSS program (version v26 or v27). For those who do not have SPSS, please use the free program from UCI OIT Virtual Computer Lab. UCI OIT offers free access to SPSS when you log into the Virtual Computer Lab using your UCINetID:

• Open the following link: UCI Virtual Computing Lab to log into the virtual computer lab using your UCINETID
• Once you are in the virtual computer lab, click on the button ‘LAUNCH’. A new window will pop up, showing many applications including ‘IBM SPSS’.
• Double-click on ‘IBM SPSS’ icon to open the SPSS application

Introduction to Bayesian Statistics in Stata

April 12, 2021 | 11:30am-1 pm

Bayesian Multilevel/Longitudinal Modeling

May 10, 2021 | 11am-1pm

Item Response Theory (IRT) and Bayesian IRT

June 14, 2021 | 11am-1pm

Register for Introduction to Bayesian Statistics in Stata below

Workshop Outline:

1. Basic formats of medical research protocols and manuscripts
   • Medical research protocols: goal, specific aims, hypotheses, study design, outcomes, statistical methods, sample size and power analysis.
   • Manuscripts: scientific background, methods, results, and discussion.
   • An example of a medical research study
2. Statistical methods
   • Univariate analysis using descriptive statistics such as percentage, mean, and SD
   • Bivariate analysis using t test, chi-square test, Pearson’s correlation
   • Multivariate analysis using linear and logistic regression models
3. SPSS
   • What is SPSS? Pros and cons of SPSS compared with other statistical programs
   • How to obtain SPSS software
   • Describe the interface of SPSS (Data view and Variable view)
   • Explore the Menu: File, Edit, View, Data, Transform, Analyze, Graphs, Windows
   • How to upload a dataset in Excel or text format into SPSS
   • Mouse click versus syntax method
   • How to clean, transform, and format data
   • How to perform univariate analysis (percentage, mean, SD)
   • How to perform bivariate analysis (t test, chi-square test, Pearson’s correlation)
   • How to perform multivariate analyses (linear and logistic regression)
   • How to interpret and present statistical results in tables and graphs

How to access free version of SPSS

Participants are welcome to use their own SPSS program (version v26 or v27). For those who do not have SPSS, please use the free program from UCI OIT Virtual Computer Lab. UCI OIT offers free access to SPSS when you log into the Virtual Computer Lab using your UCINetID:

• Open the following link: UCI Virtual Computing Lab to log into the virtual computer lab using your UCINETID
• Once you are in the virtual computer lab, click on the button ‘LAUNCH’. A new window will pop up, showing many applications including ‘IBM SPSS’.
• Double-click on ‘IBM SPSS’ icon to open the SPSS application

August 28, 2020 | 10:00 AM to 5:00 PM | Hosted on Zoom

The cost of the workshop is $15.