ABSTRACT

Focusing on group sequential procedures, summarizes the sequential statistical methods used in anticancer, antiviral, cardiovascular, and gastrointestinal drug research and screening. The clinical and preclinical applications are mainly presented as case studies, many of which form part of New Drug

chapter 3|8 pages

Group Sequential Designs for Trials with Multiple Endpoints

Nancy L. Geller Clare Gnecco*

chapter V|26 pages

=(T)-l

Expected variance-covariance matrix parameters following stage, analysis compare candidate designs Sensitivity analysis results terms precision estimation of percentiles interest (e.g., In(SI) where selected (asymptotically) uncorrelated. denote standard errors these quantities. Perturb pairs perturbed values with sever perturbed

chapter |4 pages

= + +

chapter |10 pages

= 0.15 and =

0.30. fully sequential plan, based sequen- probability ratio (SPRT) (Wetherill, 1966, Chaps. 2-4), requires analysis after each decide whether continue. addition, boun- "open," which means realizations procedure might require extremely large sample sizes, perhaps somewhat larger fixed-sample-size procedure. these reasons, testing Stagewise Plans Stagewise plans compromises between efficiency fully sequential plans logistical practicality fixed-sample-size

part |1 pages

Ji -Ji

chapter |15 pages

P(X= + )(

scores within decision whether particular stage or continue stage based cumulative sum Because scores within merely difference between number responses

chapter 7|22 pages

Group Sequential Methods in Multi-institutional Cancer CI1nical Trials: A Case Study

Study Kathleen Propert Kyungmann Kim

part |1 pages

+ of

chapter |3 pages

mv-infected

patients, within benefit earlier otherwise would have, while still providing substantial evidence safety and efficacy required regulatory approval. large number trials confirmed these results other HIV-infected populations. Although recommended dosing modified since early trial, the

chapter |8 pages

= -a + bV

(lower boundary) where

chapter |11 pages

Select

Press patient patient Print patient statistical

chapter |6 pages

a(-4,t), a(-l,t),

chapter 18|4 pages

Sample Size Reestimation in Clinical Trials

Weichung Joseph

chapter I|3 pages

(xI

chapter |11 pages

= ...

chapter 19|12 pages

Interim Analysis in the Development of an Anti-Inflammatory Agent: Sample Size Reestimation and Conditional Power Analysis

Sample Reestimation Conditional Power Analysis Ronald Pedersen Robert R. Starbuck

chapter |7 pages

ND(n==28)

(n==28) ST2(n==23)

chapter |5 pages

= 0.025

survivors out of confirmed cases deaths) survivor out of confirmed cases deaths) deaths occurred confirmed cases are completed significant difference between survival trolene sodium

chapter 22|6 pages

Randomized Play-the-Winner Designs and ECMO

Richard David D. Cuthbertson

chapter |3 pages

< when

reaches order rejection hypothesis better control therapy. method different gested Cornell (1986), formula for posterior probability. probability treatment therapy. corresponding probability ECMO. Under hypothesis, Under alternative hypothesis, definitions consistent those given earlier terms probability under inferior treatments. Similarly, refer numbers balls added tively. design considered provides modification decision

chapter |3 pages

= 0.2, = = 0 or = 1 (no acceleration), tables in Cornell et al. (1986) display a minimum

acceleration), Cornell (1986) display minimum value 0.95. corresponding values respectively. Suppose require hypothesis. procedure described here, leads minimum value paired