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Sample Size & Power Calculations

Calculate for a Variety of frequentist and Bayesian Design

Adaptive Design

Design and Analyze a Wide Range of Adaptive Designs

Milestone Prediction

Predict Interim Analysis Timing or Study Length

Randomization Lists

Generate and Save Lists for your Trial Design

Group Sequential and Promising Zone Designs

Calculate Boundaries & Find Sample Size. Evaluate Interim Data & Re-estimate Sample Size

Sample Size for Bayesian Statistics

Probability of Success (Assurance), Credible Intervals, Bayes Factors and more

Early Stage and Complex Designs

Sample size & operating characteristics for Phase I, II & Seamless Designs (MAMS)

Sample Size & Power Calculations

Calculate for a Variety of frequentist and Bayesian Design

Adaptive Design

Design and Analyze a Wide Range of Adaptive Designs

Milestone Prediction

Predict Interim Analysis Timing or Study Length

Randomization Lists

Generate and Save Lists for your Trial Design

Group Sequential and Promising Zone Designs

Calculate Boundaries & Find Sample Size. Evaluate Interim Data & Re-estimate Sample Size

Sample Size for Bayesian Statistics

Probability of Success (Assurance), Credible Intervals, Bayes Factors and more

Early Stage and Complex Designs

Sample size & operating characteristics for Phase I, II & Seamless Designs (MAMS)

#all

**Tags: ** Prediction, Adaptive, Survival, Oncology, Cardiology, Respiratory

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**Tags: ** Means, Respiratory

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**Tags: ** Adaptive, Means, Sample Size Re-estimation, Urology

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**Tags: ** Survival Analysis, Oncology

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**Tags: ** Adaptive, Means, Sample Size Re-estimation, Respiratory

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**Tags: ** MCP-Mod, Neurology

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**Tags: **Adaptive, Proportions, Simon's Two-Stage Design, Oncology

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**Tags: ** MAMS, Means, Respiratory

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**Tags: ** Bayesian, Survival, Immunology, Respiratory

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**Tags: **Adaptive, Simon's Two-Stage Design, Proportions, Oncology,

#proportions, #oncology, #adaptive, #simons-design

(Adaptive SSR)

**Tags: **Adaptive, Proportions, Unblinded SSR, Cardiology,

#proportions, #cardiology, #adaptive, #ssr

**Tags: **Andersen-Gill, Recurrent Events, Means, Immunology

#immunology, #means

**Tags: adaptive, **Two Negative Binomial, Means, Respiratory

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**Tags: **Adaptive, Proportions, Simon's Two-Stage Design, Oncology

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#agreement, #urologyStudy

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#proportions, #rheumatology

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#survival, #cardiology

**Tags: **Survival Analysis, Oncology, Adaptive

#survival, #Oncology, #adaptive

#survival, #oncology, #adaptive

#all, #bioequivalence

**Tags:** Means, Three Arm Trial, Non-inferiority, Rheumatology

#means, # Non-inferiority, #rheumatology, #three-arm-trial

**Tags: **Means, Non-Inferiority, Cardiology

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#mcp-mod, #means, #cardiology

Watch our sample size webinars

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.

nQuery scientific citations are available here.