The Web versions of the lecture notes have Lists of Contents that are
hot-linked for easy opening at specific sections.
The print versions are prepared with two pages per sheet
for easy printing.
Sample Size Tips
Click here for brief notes on which formula
and which R function to use for calculating power and sample sizes
Lecture Slides & Recordings:
Links are given below to the pdf versions (in handout format) to
the slides displayed in the course. Additonally there are links
to recordings (made with the Echo360 system) of slides and other
material as displayed on the data projector with synchronised sound.
For unknown reasons not all recordings succeeded.
A complete set of recordings made in a closely similar course
is available here
Micro1: Revison of t-tests; randomization; power & sample size calculations (20/04/12)
Micro2: Survival analysis: K-M Plots and log-rank tests (25/04/12)
Micro3: Survival Analysis: semi-parametric and parametric analysis(27/04/12)
Click here for the Exercises on Clinical Trials and here for the printing version, two sheets to the page.
There are thirty-four exercises which cover most of the topics in the course.
Some of the exercises require access to web pages (e.g. to PubMed
and the register of clinical trials). Others will need to be done
by hand and others will need use of R. Many may seem easier to do
by hand than with R but the intention is that you should do them first
by hand and then use R until you become more familiar with using R.
Many of the questions can be answered very quickly using R
(e.g. some of the sample size questions) but others are quite substantial and will take considerably longer.
Click here for the Exercises on Survival Data Analysis and here for the printing version, two sheets to the page.
There are fifteen exercises which cover most of the topics in the course.
Some of the exercises require use of specialist libraries in R (such as eha which you will need to download and install). Some simple exercises are intended to be done
by hand but most will need use of R.
Solutions will be provided over the week or two following
completion of the course so keep an eye on the course web pages
if you want to see the solutions.
Guides to R
The practical session in this course will involve the use of R. A brief guide to installing and getting started with R is given here. A recording of a brief lecture (27 min) illustrating some of the topics in the notes is given here.
A brief introduction to R with more information on use in statistics (but orientated to Sheffield campus network users) is given
More information is
given on the CRAN home page.
Solutions to exercises
Here is the link to the solutions to the exercises on Statistics in Clinical Trials.
Here is the link to the solutions to the exercises on Statistics in Survival Analysis.