Worked examples of industry sample size determination
Here you can sort the hypothesis testing examples by statistical or therapeutic area to suit your sample size needs. These examples cover sample size or power analysis for 3 different types of clinical trials - Classical, Bayesian and Adaptive clinical trial design. nQuery Sample Size Software offers innovative techniques such as Bayesian & Adaptive Trial Design approaches to reduce risk and costs associated with clinical trials. You can also take a free trial of our sample size & power analysis software.
What is a hypothesis? A hypothesis is a supposition or proposed explanation made on the basis of limited evidence as a starting point for further investigation. Here you will find hypothesis testing examples using nQuery Sample Size Software. These are real world industry examples that are recreated in nQuery to demonstrate how nQuery can be used for calculating sample size. They cover a range of different statistical and therapeutic areas. nQuery covers over 1000+ sample size & statistical procedures to help you with your clinical trial design.
These examples can act as a guide when using the nQuery Software for your power and sample size analysis. With over 20 years of experience in clinical trial design, when using nQuery you can trust that your sample size determination is being conducted to the highest regulatory standards. Using the academic literature and in conjunction with experts in the field and regulatory agencies we ensure that each table in nQuery is using the latest and most accurate methods possible for that sample size determination scenario.
If you are looking for more practical examples, we have a list of examples of nQuery featured in in Scientific Journals. Over 1000 nQuery Sample Size Software citations are listed with the The National Center for Biotechnology Information (NCBI). The NCBI advances science and health by providing access to biomedical information. In addition to this there are a further 1000 nQuery Sample Size Software available. A more complete list of nQuery scientific citations is available here.
