Appraise

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APPRAISE (RCTs) page 97 of 100

APPRAISING RCTs

Introduction (21pages)

Appraising randomisation (11pages)

Blinding and intention to treat (16pages)

Measures of risk/benefit (23pages)

Statistical significance (25pages)

Summary

APPRAISING ECONOMIC EVALUATIONS (EE)

Introduction (12pages)

Different types of EE (7pages)

Comparators & timescales
(9pages)

Assessing costs (16pages)

Assessing outcomes (17pages)

Time & models (10pages)

Measures of cost effectiveness (10pages)

Using economic analysis

Congratulations! You've made it to the end of the most difficult section (hopefully with your sanity intact).

In this section, we've looked at:

	The importance of statistical significance: could these results have happened if there was no difference between the treatments?
	How p values are used to estimate statistical signficance.
	How confidence intervals are used to estimate how much the study result could be expected to differ from the true value.
	How to interpret confidence intervals.

	How the precision of results depends in part on the sample size of the trial
	That the sample size depends on how much error we can tolerate, how much benefit we expect and what the baseline risk is.

This page updated on 25/11/05