Literature DB >> 11304738

Power and sample size requirements for two-part models.

P A Lachenbruch1.   

Abstract

Two-part models assume the data has a probability mass at zero and a continuous response for values greater than 0. We construct tests based on the proportion of zeros and the difference among the positive values of a response giving rise to a two degree of freedom chi(2) test. This note gives the non-centrality parameter and finds the power for the test. The power is compared to the simulation results in a recent paper. We derive sample size calculations. We note that some modifications of this procedure may provide better tests if the non-zero responses are discrete. Published in 2001 by John Wiley & Sons, Ltd.

Mesh:

Year:  2001        PMID: 11304738     DOI: 10.1002/sim.812

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  3 in total

1.  Comparison of models for analyzing two-group, cross-sectional data with a Gaussian outcome subject to a detection limit.

Authors:  Ryan E Wiegand; Charles E Rose; John M Karon
Journal:  Stat Methods Med Res       Date:  2014-05-05       Impact factor: 3.021

2.  An exploration of genetic association tests for disease risk and age at onset.

Authors:  Eden R Martin; Xiaoyi R Gao; Yi-Ju Li
Journal:  Genet Epidemiol       Date:  2020-10-19       Impact factor: 2.135

3.  Cardiac Remote Ischemic Preconditioning Prior to Elective Vascular Surgery (CRIPES): A Prospective, Randomized, Sham-Controlled Phase II Clinical Trial.

Authors:  Santiago Garcia; Thomas S Rector; Marina Zakharova; Rebekah R Herrmann; Selcuk Adabag; Stefan Bertog; Yader Sandoval; Steve Santilli; Emmanouil S Brilakis; Edward O McFalls
Journal:  J Am Heart Assoc       Date:  2016-09-29       Impact factor: 5.501

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.