| Title |
Dates |
Learning Objectives |
Location |
Quantitative Research Methods
|
| Basic Statistics - Data Management and Introduction to SPSS |
07/10/08
|
- Understand and handle different types of quantitative data in SPSS
- Create a clean dataset in SPSS
- Create simple graphics such as histograms in SPSS
- Use frequency tables and simple descriptive statistics to check data in SPSS
|
Leicester |
| Basic Statistics - Describing and Exploring Data in SPSS |
14/10/08
|
- Correctly identify different types of quantitative data, and choose appropriate techniques to describe them
- Understand and use basic descriptive statistics, such as mean, median, standard deviation and inter-quartile range
- Be able to present data in tables using SPSS
- Be aware of the range of graphs available in SPSS, and of the key steps to good practice in data presentation
|
Leicester |
Systematic Review (am)
and
Meta-analysis (pm)
|
15/10/08
|
- Understand what a systematic review is
- Learn the key elements of a systematic review
- How to conduct a systematic review
- Distinguish between a Systematic Review & Meta-analysis
- Describe & perform the main steps in a simple meta-analysis
- Distinguish fixed & random effects models
- Identify when a meta-analysis is inappropriate
- Describe how publication bias may be detected
- Summarise the advantages/disadvantages of a meta-analysis
|
Nottingham |
| Basic Statistics - Examining and Comparing Data With Confidence Intervals and P Values |
21/10/08 |
- Distinguish the two main sources of error in study results: bias (systematic error) and random error
- Calculate some simple confidence intervals
- Understand how to interpret confidence intervals and the results of statistical tests
- Realise the implications of precision for study design
|
Leicester |
Basic Statistics - Sample Size Calculation - How Many Patients will I Need?
|
23/10/08 |
- Understand the following concepts in relation to sample size calculation:
- Power
- Significance Level
- One-tailed and Two-tailed tests
- Standard Deviation
- Smallest Clinically Important Difference
- Other factors affecting sample size
- Decide on the appropriate sample size for a given experimental design using:
- Formulae
- Computer programs
- Web based programs
- Sample Size Tables
- Present the results of a sample size calculation
|
Leicester |
Basic Statistics - Analysing Categorical Data
|
28/10/08
|
- Understand the need for methods to analyse categorical data, spearate from those needed to analyse continuously measured data
- Be able to carry out the chi-squared test using SPSS, and to interpret the results
- Be aware of the assumptions underlying the chi-squared test, and be able to use alternative methods when necessary
|
Leicester |
| Basic Statistics - Analysing Continuously Measured Data |
28/10/08
|
- Choose, carry out in SPSS and correctly interpret a statistical comparison of two unmatched or matched groups with measured or scale data
|
Leicester |
Describing and Exploring Data Using Excel (2 half day course, participants are expected to attent both sessions 4/11 and 11/11) |
04/11/08
|
- Load and access Statplus in Excel
- Create a clean dataset in Excel
- Create simple graphics such as histograms using Statplus
- Use pivot tables and simple descriptive statistics to check data in Excel
|
Leicester |
Introduction to Analysing Survival Time Data
|
05/11/08
|
- Be aware of the particular nature of survival time data, including ‘censored’ times, and the need to analyse using specific statistical methods
- Present and interpret survival curves
- Compare the survival of groups using the logrank test
|
Leicester |
Describing and Exploring Data Using Excel (2 half day course, participants are expected to attent both sessions 4/11 and 11/11) |
11/11/08
|
- Correctly identify and summarise different types of quantitative data.
- Understand and use basic descriptive statistics, such as mean, median, standard deviation and interquartile range
- Present data in tables using Microsoft Excel
- Be aware of the range of graphs available in Excel with Statplus, and of good practice in data presentation
|
Leicester |
Further Methods for Analysing Survival Time Data
|
12/11/08
|
- Understand the concepts of the 'hazard function' and 'hazard ratio'
- Use the Cox proportional hazards model - to compare groups with adjustment for confounding variables, with awareness of the assumptions and limitations of the model
|
Leicester |
Basic Statistics - Data Management and Introduction to SPSS
|
17/11/08
|
- Use the statistical package SPSS
- Identify different types of data
- Code data appropriately for entry into a statistical package
- Enter data into SPSS
- Check datasets for errors and correct these accordingly
|
Nottingham |
Basic Statistics - Describing and Exploring Data in SPSS
|
17/11/08
|
- Understand frequency distributions
- Describe data using numerical summaries
- Present data in tables and graphs
- Identify the most appropriate methods to summarise and present your data, and use SPSS to produce them
|
Nottingham |
Basic Statistics - Examining and Comparing Data With Confidence Intervals and P Values
|
18/11/08 |
- Understand the concepts of hypothesis testing and confidence intervals
- Interpret the results of a statistical test
- Interpret and calculate confidence intervals
|
Nottingham |
Basic Statistics - Analysing Continuously Measured Data
|
18/11/08 |
- Identify the most appropriate test to use to analyse different types of categorical data
- Perform and interpret the results of the following tests:
- Unpaired t-test
- Mann-Whitney U test
- Paired t-test
- Wilcoxon matched pairs signed rank test
|
Nottingham |
Further Data Analysis in SPSS
|
19/11/08
|
- Manipulate different types of quantitative data in SPSSS, and handle missing data
- Appreciate the role and limitations of ANCOVA and ANOVA in applied health and social care research
- Be able to carry out and interpret correctly analyses using simple linear regression, ANCOVA and ANOVA using SPSS
|
Leicester |
| Basic Statistics - Analysing Categorical Data |
19/11/08
|
- Identify the most appropriate test to use to analyse different types of categorical data
- Perform and interpret the results of the following tests:
- Chi-squared test
- Fisher's exact test
- Chi-squared test for trend
- McNemar's test
|
Nottingham |
| Basic Statistics - Sample Size Calculation |
19/11/08
|
- Define significance, power, minimum clinically important difference, allocation ratio
- Appreciate how each of these affect sample size
- Calculate sample size using nomograms and tables
- Present the results of sample size calculations
|
Nottingham |