![]() | Content Disclaimer Copyright @2020. All Rights Reserved. |
Links : Home Index (Subjects) Contact StatsToDo |
Explanations and References
General discussions on Phase II clinical trials are presented in PhaseII.php and not repeated here
Sample Size Tables
This page provides calculations and tables for sample size required for a Phase II study, using Fleming's procedure. This is an adaptation of a quality control procedure commonly used in industry. The user defines two levels of successes, the existing one, and the expected improved level the new treatment should achieve. The procedure then calculate the sample size required to test the new treatment. After the required number of cases are studied, the proportion of success is compared with that required, to determine whether the expected improvement has been met, thus whether to accept the new treatment for further study and trial (phase III). Fleming's procedure therefore has advantages over Gehan's procedure and Simon's procedure, as both concept and procedures are simpler, and intuitively easier to understand and undertake. The down side is that it requires a fixed sample size, so that decisions cannot be made until the full sample size is used. It is therefore more expensive and takes longer to conclude. ExampleWe are treating the advanced stage of a particularly aggressive type of cancer, and after the current standard surgery and radiotherapy, only 20% (p0=0.2) of the patients survive 12 or more months. We are offered to trial a newly developed chemotherapy, and we decided that a formal large scale Phase III trial would be worth while if the Phase II trial find the 12 months survival rate is doubled to 40% (pn = 0.4). We use the statistical parameters α=0.05, power=0.8, p0=0.2, pn=0.4, and determined that the sample size is 29 cases. We administered the additional chemotherapy to 29 patients that fits the description, and 14 (0.48 or 48%) survived at the end of 12 months. As we define success as survival for more than 12 months, We concluded that the results are sufficiently encouraging for a formal phase III trial to be conducted. Had the 12 month survival rate be less than 12 out of our 29 cases (<0.4 or 40%), then we would have abandoned this new treatment and concluded that further study of it is unlikely to be productive. ReferenceMachin D, Campbell M, Fayers, P, Pinol A (1997) Sample Size Tables for Clinical Studies. Second Ed. Blackwell Science IBSN 0-86542-870-0 p. 254-255
The R code for Fleming's procedure for sample size fpr Phase II studies is as follows
" Phase II Fleming Machin D, Campbell M, Fayers, P, Pinol A (1997) Sample Size Tables for Clinical Studies. Second Ed. Blackwell Science IBSN 0-86542-870-0 p. 254-255 " # Data errorI = 0.05 # alpha Type I Error power = 0.8 # power 1-beta pr = 0.2 # success rate below which treatment is rejected pa = 0.4 # success rate above which treatment is accepted # Calculations za = -(qnorm(errorI)) zb = -(qnorm(1 - power)) top = za * sqrt(pr * (1 - pr)) + zb * sqrt(pa * (1 -pa)) bot = pa - pr; ssiz = ceiling(top^2 / bot^2) ssizThe result is > ssiz [1] 29 |