Literature DB >> 23578981

PODSE: a computer program for optimal design of trials with discrete-time survival endpoints.

Katarzyna Jóźwiak1, Mirjam Moerbeek.   

Abstract

In experimental settings, one or more groups of subjects receive a treatment and they are compared to a group of subjects that receives a standard treatment or no treatment at all. These compared groups might have an equal number of subjects or some of the groups might have more participants relative to the other groups. Moreover, subjects in these groups can be followed over a short or a long period. To conduct experiments in a sufficient way, researchers should find a good design in the planning phase of the trial. The optimal design for experimental studies on event occurrence with discrete-time survival endpoints where two treatment groups are followed over time, is an optimal combination of the number of time periods, the total number of participants in the trial and the proportion of subjects in the experimental group. It is easy to find the best design for such studies using the PODSE program.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

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Year:  2013        PMID: 23578981     DOI: 10.1016/j.cmpb.2013.02.005

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  2 in total

1.  Advanced Online Survival Analysis Tool for Predictive Modelling in Clinical Data Science.

Authors:  Julio Montes-Torres; José Luis Subirats; Nuria Ribelles; Daniel Urda; Leonardo Franco; Emilio Alba; José Manuel Jerez
Journal:  PLoS One       Date:  2016-08-17       Impact factor: 3.240

2.  A Survival Metadata Analysis Responsive Tool (SMART) for web-based analysis of patient survival and risk.

Authors:  Yuan-Chia Chu; Wen-Tsung Kuo; Yuan-Ren Cheng; Chung-Yuan Lee; Cheng-Ying Shiau; Der-Cherng Tarng; Feipei Lai
Journal:  Sci Rep       Date:  2018-08-27       Impact factor: 4.379

  2 in total

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