Multivariate Regression in SPSS for Medical Research

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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.
  1. 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

Spring 2021 Stata Workshop Series

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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

Register

Winter 2021 Stata Workshop Series

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Structural Equation Modeling

Jan 11, 2021 | 11am-1 pm

 

Mediation Analysis

Feb 8, 2021 | 11:30am-1pm

 

Latent Class Analysis

Mar 8, 2021 | 11:30am-1pm

Register via Eventbrite for any of the three workshops below.

Register

Introduction to Medical Data Analysis in SPSS

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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

Fall 2020 Stata Workshop Series

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Panel Data and Mixed Effects Models: What’s the Difference

Oct 12 | 12 – 1pm

 

Multilevel/Longitudinal Modeling

Nov 9 | 11:30 – 1pm

 

Survival Analysis 1/2

Dec 7 | 11 – 1pm

 

Register via Eventbrite for any of the three workshops below.

Register

Psychometrics and Causal Inference in Stata

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May 29th, 2020 | 8:15 AM to 4:00 PM | Hosted on Zoom

Free for registered participants to attend

Register Today >
Schedule:
8:30 – 9:30am Basic Stata Commands
9:30 – 10:30am Basic Stata Estimation Commands
10:45 – 11:45am Intro to Psychometrics with Stata: Topics include reliability, Cohen’s kappa statistic, canonical correlation, Cronbach’s alpha, exploratory factor and confirmatory factor analysis, factor rotations, multivariate analysis of variance (MANOVA), contrasts and pairwise comparisons, structural equation modeling (SEM), item response theory (IRT), and latent class analysis (LCA).
1 – 2:15pm Intro to Causal Inference and Treatment Effects Basic concepts of causal inference including counterfactuals and potential outcomes are introduced. Demonstration of Stata’s -teffects- suite of commands to fit causal models using propensity score matching, inverse-probability weighting, regression adjustment, “doubly-robust” estimators that use a combination of inverse-probability weighting with regression adjustment, and nearest-neighbor matching.
2:30 – 4pm Causal Inference for Complex Observational Data Concepts in missing data such as missing at random (MAR), missing not at random (MNAR), and unobserved confounding are introduced. This talk will demonstrate how to use standard maximum likelihood estimation to fit extended regression models (ERMs) that deal with all of these common issues alone or simultaneously.
Register Today >
20200429-stata-workshop-flyer

Introduction to R the Tidy Way

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March 5th, 2020 | 8:30 AM to 4:00 PM

Description:
Tidyverse is a set of R packages that are known for their consistent grammar. This workshop will introduce packages in the Tidyverse collection and other packages that use tidy principles. It will cover summarizing data with descriptive statistics and visualizations, wrangling data, statistical modeling and writing reproducible reports with R Markdown. Prerequisite Knowledge: Some experience with working with data in R, Excel, SAS, SPSS, Python or any other tool.

Instructor Bio:
Mine Dogucu is Assistant Professor of Teaching in the Department of Statistics. Her work focuses on integrating data science and computing in the statistics curriculum, making Bayesian education accessible at the undergraduate level, and instructor training. She has been an R user for more than 10 years and has been using Tidyverse in the last 3 years.

Location:
University of California, Irvine
School of Information & Computer Science
Department of Statistics
Second Floor, Room 2011

Cost: $95.00
Breakfast and lunch will be provided.
Please bring a laptop to the workshop.

Register Online: https://tinyurl.com/RTheTidyWay

Register Today >
R Tidyverse Workshop Flyer

Intro to Clinical Trial Design

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October 24, 2019 from 9AM-5 PM

presented by:
Dan Gillen
Professor and Chair
UCI’s Department of Statistics

This short course will cover the fundamentals of clinical trials design including both primary design issues as well as proper conduct and implementations. After this course researchers will be familiar with specific design issues including screening studies, planning statistical tasks and the essential elements of a clinical protocol. The important aspects of proper implementation including randomization, blinding, and surrogate endpoints will be discussed. The course will not require heavy statistical abilities but will instead focus on the essential elements of design to best ensure valid, generalizable, and reproducible trial results. This course is great if you are new to trial design or just want a refresher on the fundamentals.

Location:
UCI’s Donald Bren Hall – Conference Room 2011

Cost: $45.00
Course materials and lunch will be provided.

Register Online: 

Register Today >
StatConsultingCTD-v4