Index of pages in website belonging to Ian Campbell1
Ian Campbell
at http://homepages.which.net/~ian.campbell1/index.htm
Ian Campbell
See http://www.iancampbell.co.uk/index.htm
http://homepages.which.net/~ian.campbell1/index.htm |
0.2k |
Ian Campbell
The theoretical basis for using N - 1 rather than N in a chi squared test of a 2 × 2 table or in a comparison of two proportions Since the chi squared test was first used as a statistical test of two-by-two tables, the standard procedure has been to compare the formula (see nomenclature) against the chi squared...
http://homepages.which.net/~ian.campbell1/2x2n-1_theory.htm |
4.0k |
Ian Campbell
Two-by-two tables nomenclature One of the commonest problems in statistics is the analysis of a two-by-two table, i.e. a table of the form: _______________________________________________________ B not-B Total _______________________________________________________ A a b m not-A cd n Total r s N _______________________________________________________...
http://homepages.which.net/~ian.campbell1/2x2nomenclature.htm |
2.2k |
Ian Campbell
Should randomised trials be analysed differently to other comparative trials? Summary Several authors have concluded that a randomised trial is a special case of a comparative trial, and should be analysed differently (by the Fisher-Irwin test). There are counter-arguments to this, and the recommendation here...
http://homepages.which.net/~ian.campbell1/2x2randomised_trials.htm |
12.2k |
Ian Campbell
Why do the charts of maximum Type I error have a sawtooth appearance Figure 1 of main paper This sawtooth appearance is particularly evident for comparative trials analysed by the K Pearson chi squared and N - 1' chi squared tests (Figure 1 of the main paper, reproduced above). In summary, it can be described...
http://homepages.which.net/~ian.campbell1/2x2sawtooth_appearance.htm |
14.2k |
campbell_twobytwo_preprint.pdf
http://homepages.which.net/~ian.campbell1/campbell_twobytwo_preprint.pdf |
964.3k |
Ian Campbell
See http://www.iancampbell.co.uk/consultancy.htm
http://homepages.which.net/~ian.campbell1/consultancy.htm |
0.3k |
Ian Campbell
See http://www.iancampbell.co.uk/cv.htm
http://homepages.which.net/~ian.campbell1/cv.htm |
0.2k |
Ian Campbell
Introduction to Notify Casenote System for Surgical House Officers Notify is mainly used by House Officers for (a) generating discharge letters and (b) audit. Discharge letters - Log on with your user name and password (ensure that you use the correct case). - Enter the patients case sheet number and press Enter...
http://homepages.which.net/~ian.campbell1/ho_guide.htm |
3.7k |
Ian Campbell
See http://www.iancampbell.co.uk/notify.htm
http://homepages.which.net/~ian.campbell1/notify.htm |
0.3k |
Ian Campbell
See http://www.iancampbell.co.uk/publications.htm
http://homepages.which.net/~ian.campbell1/Publications.htm |
0.3k |
Ian Campbell
See http://www.iancampbell.co.uk/twobytwo/twobytwo.htm
http://homepages.which.net/~ian.campbell1/twobytwo.htm |
0.3k |
Two-by-two table calculator
Use this utility to analyse two-by-two tables by the 'N - 1' chi squared test. Enter the four counts in the four boxes and select 'Calculate'. Provided the minimum expected number is at least 1, you will be given the two-sided P value. Otherwise you will be advised to use the Fisher-Irwin test. This is valid for...
http://homepages.which.net/~ian.campbell1/twobytwocalculator.htm |
8.0k |
Keywords:
campbell, ian, test, squared, chi, patients, type, error, trial, tables, sample, table, treatment, recruited, population, random, trials, paradigm, total, figure, calculator, samples, maximum, select, difference, randomised, patient, values, minimum, statistical, fisher, irwin, form, comparative, analysed, notify, expected, letter, treatments, screen, enter, null, 110, confidence, equal, hypothesis, individuals, pearson, distribution, regarded, htm, intervals, totals, fixed, similar, clinical, relevant, 100, iancampbell, study, http, rcts, key, discharge, press, team, charts, 120, carried, larger, conclusions, cured, marginal, set, studied, randomisation, formula, proportion, level, estimate |
Page count = 13
|