Tags: Means, Respiratory
Tags: Adaptive, Means, Sample Size Re-estimation, Urology
Tags: Survival Analysis, Oncology
Tags: Adaptive, Means, Sample Size Re-estimation, Respiratory
Tags: MCP-Mod, Neurology
Tags: Adaptive, Proportions, Simon's Two-Stage Design, Oncology
Tags: MAMS, Means, Respiratory
Tags: Bayesian, Survival, Immunology, Respiratory
Tags: Adaptive, Simon's Two-Stage Design, Proportions, Oncology,
Tags: Adaptive, Proportions, Unblinded SSR, Cardiology,
Tags: Andersen-Gill, Recurrent Events, Means, Immunology
Tags: adaptive, Two Negative Binomial, Means, Respiratory
Tags: Adaptive, Proportions, Simon's Two-Stage Design, Oncology
Tags: Survival Analysis, Oncology, Adaptive
Tags: Means, Three Arm Trial, Non-inferiority, Rheumatology
Tags: Means, Non-Inferiority, Cardiology
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 covers over 1000+ sample size & statistical procedures and offers innovative techniques such as Bayesian & Adaptive trial design to reduce the risk and costs associated with clinical trials.
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. 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.
nQuery is extensively featured in Scientific Journals. Over 1000 citations are listed with The NCBI alone.
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