Further material will be added to this page over

the coming days and at some later stage solutions to the exercises

and copies of lecture slides etc will be provided here.

*Nick Fieller, 01/04/2012*

Statistics in Clinical Trials: Lecture Notes (Web Version)

Statistics in Clinical Trials: Lecture Notes (print version)

Survival Data Analysis: Lecture Notes (Web Version)

Survival Data Analysis: Lecture Notes (print version)

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.

and which R function to use for calculating power and sample sizes

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

Recording (45 mins)

2: Basic trial analysis

Recording (45 mins)

3: Randomization

Recording (50 mins)

4: Sample size calculations

Recording, part 1 (35 mins)

Recording, part 2 (35 mins)

5: Multiplicity

Recording, part 1 (35 mins)

Recording, part 2 +sample size facilities (40 mins)

6: Crossover trials

Recording (50 mins)

7: Binary responses

Recording (35 mins) Miscellaneou binary responses

Recording (25 mins) Logistic models

Recording (45 mins)

Single sample non-parametric methods

Recording (37 mins)

Parametric models

Recording (40 mins)

Two sample comparisons

Recording (35 mins)

Recording Tutorial on Survvival Analysis in R and SPSS (60 mins)

Parametric Regression

Recording (40 mins)

Proportional Hazards Regression Part 1

Recording (45 mins)

Proportional Hazards Regression Part 2

Recording (45 mins)

Micro2: Survival analysis: K-M Plots and log-rank tests (25/04/12)

Micro3: Survival Analysis: semi-parametric and parametric analysis(27/04/12)

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.

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 here.

More information is given on the CRAN home page.

Here is the link to the solutions to the exercises on Statistics in Survival Analysis.

and choosing "Save Target As...".

Do not try to open them from the web page.

All Rdata sets (zipped folder)

All SPSS data sets (zipped folder)

Brain tumour survival times times

Click here for Ben Goldacre's Bad Science page

Click here for the NHS Behind the Headlines pages

Click here for link to the British Medical Journal

Click here for sample size programmes.

Click here for the registry of clinical trials.

Click here for PubMed.Course Desciption and schedule

This page is maintained by the Dr Nick Fieller and was last updated on 3 May 2012.