Men’s health – the impact of stroke

Stroke is a leading cause of adult death and the most common cause of complex disability in the UK. This article discusses the incidence and impact of stroke, focusing on a range of issues from a male perspective, including stroke prevention, psychological needs, sexuality and return to work. There are some gender differences in modifiable risk factors for stroke, and women have better knowledge of stroke symptomatology. For men, the development of post-stroke depression is associated with greater physical disability. (c) Sherborne Gibbs Limite

Your Statistical Toolbelt

Stephanie Dickinson is a senior consultant at the Indiana Statistical Consulting Center.This workshop will give an overview of how to identify what types of data analysis tools to use for a project, along with basic “DIY” instructions. We will discuss the most common analysis tools for describing your data and performing significance tests (ANOVA, Regression, Correlation, Chi-square, etc), and how they should be selected based on the type of data and the type of research question you have. We will spend the first hour outlining “what analysis to use when” and the second hour going through examples in SPSS software

Your Statistical Toolbelt (in SPSS)

Stephanie Dickinson is a Senior Statistical Consultant with the Biostatistics Consulting Center.This introductory workshop will give an overview of how to identify what types of data analysis tools to use for a project, along with basic “DIY” instructions. We will discuss the most common analysis tools for describing your data and performing significance tests (ANOVA, Regression, Correlation, Chi-square, etc), and how they should be selected based on the type of data and the type of research question you have. This is geared towards students or faculty beginning their foray into quantitative analysis of research data, or those who have been around but would like to step back and get a framework for how to navigate basic statistical methods

Your Statistical Toolbelt

This introductory workshop will walk through IBM SPSS and SAS JMP software while giving an overview of how to identify what types of data analysis tools to use for a project, along with basic “DIY” instructions. We will discuss the most common analysis tools for describing your data and performing significance tests (Correlation, T-test, ANOVA, Cross-tabs, etc), and how they should be selected based on the type of data and the type of research question you have. This is geared towards students or faculty beginning their foray into quantitative analysis of research data, would like an introduction to SPSS or JMP, or would just like to step back and get a framework for how to navigate “what analysis to use when.

After Baah Ate a Dandelion

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Your Statistical Tool Belt

Stephanie Dickinson is a senior consultant and managing director of the IU Statistical Consulting Center (ISCC).This workshop will give an overview of how to identify what types of data analysis tools to use for a project, along with basic “DIY” instructions. We will discuss the most common analysis tools for describing your data and performing significance tests (ANOVA, Regression, Correlation, Chi-square, etc), and how they should be selected based on the type of data and the type of research question you have. We will spend the first hour outlining ‘what analysis to use when’ and the second hour going through an example dataset in SPSS software “Comparing motivations for shopping at Farmer’s markets, CSA’s, or neither.” Bring your own data set to work along also

Your Statistical Tool Belt

Stephanie Dickinson is a Senior Statistical Consultant with the Department of Epidemiology and Biostatistics.This introductory workshop will give an overview of how to identify what types of data analysis tools to use for a project, along with basic “DIY” instructions. We will discuss the most common analysis tools for describing your data and performing significance tests (ANOVA, Regression, Correlation, Chi-square, etc), and how they should be selected based on the type of data and the type of research question you have. This is geared towards students or faculty beginning their foray into quantitative analysis of research data, or those who have been around but would like to step back and get a framework for how to navigate basic statistical methods