Statsols 20多年來一直通過統計軟體引領市場。nQuery 是世界上最值得信賴的樣本量和功耗分析軟體之一。
nQuery提供簡單有效的方法來計算並找出可靠區間及等效分析,以決定樣本的大小及統計的幕數。。生物統計學家最常使用它來確定參加臨床試驗需要多少人。
nQuery包括近1000個樣本大小和功率方案的計算。且擁有大量易於使用但功能強大的功能,可用於樣本量計算和功效分析。
Survival
Survival analysis is a branch of statistics for analyzing the expected duration of time until one or more events happen.
Bayesian*
Calculate the true probability of success and formalize your sample size sensitivity analysis.
Adaptive*
Make trials more flexible by using interim results to modify the trial’s course in accordance with pre-specified rules.
Means
Compare two means or compare the mean of your sample data to a known value.
Regression
The measure that attempts to determine the strength of the relationship between one dependent variable and a series of other changing variables.
Cluster Randomized Trials
A type of randomised controlled trial in which groups of subjects (as opposed to individual subjects) are randomised.
- CRT Two Means Completely Randomized
- CRT Two Proportions Inequality Completely Randomized
- CRT Two Proportions Equivalence Completely Randomized
- CRT Two Proportions Non-Inferiority Completely Randomized
- CRT Two Proportions Superiority by a Margin Completely Randomized
- CRT Two Means Matched Pairs
- CRT Two Rates Completely Randomized
- CRT Two Rates Matched Pair
- CRT Two Proportions Matched Pair
- CRT Two Survival Curves
- CRT Two Means Non-Inferiority Completely Randomized
- CRT Two Means Completely Randomized with Unequal k's/m's
- CRT Two Means Equivalence Completely Randomized
- CRT Two Means Superiority by a Margin Completely Randomized
Proportions
Studies that measure the proportion of people who have some characteristic or compare this proportion with another group.
Agreement
Assessing correlation or relationship between two measurements.
Crossover
The longitudinal study in which subjects receive a sequence of different treatments.
- Test for Pairwise Mean Differences in a Williams Crossover Design
- Non-Inferiority Test for Pairwise Mean Differences in a Williams Crossover Design
- Equivalence Test for Pairwise Mean Differences in a Williams Crossover Design
- Superiority by a Margin Test for Pairwise Mean Differences in a Williams Crossover Design
- Test for Pairwise Proportion Differences in a Williams Crossover Design
- Non-Inferiority Test for Pairwise Proportion Differences in a Williams Crossover Design
- Equivalence Test for Pairwise Proportion Differences in a Williams Crossover Design
- Superiority by a Margin Test for Pairwise Proportion Differences in a Williams Crossover Design
- Test for Generalised Odds Ratio 2x2 Crossover
- Equivalence Test for Generalised Odds Ratio 2x2 Crossover
- Non-Inferiority Test Generalised Odds Ratio 2x2 Crossover
Miscellaneous
Other miscellaneous tables for sample size calculation.
- CI for Variance Variances
- CI for Variance Relative Error
- CI for Variance Tolerance Prob
- CI for Two Variances
- CI for Two Variances Relative Error
- CI for Standard Deviation SD
- CI for Standard Deviation Tol
- CI for Standard Deviation Rel Error
- One Sample t-test for Log-Normal data
- Paired t-test for Mean Ratio (logscale)
- Wilcoxon Sign-Rank Test
- Inequality Tests for Two Means in a Cluster-Randomized Design (Unequal k's/m's)
Epidemiology
The study and analysis of the distribution and determinants of health and disease conditions in defined populations.
- Vaccine Efficacy Confidence Interval - Cohort Study
- Vaccine Efficacy Confidence Interval - Case-Control Study
- Logistic Regression for Binary Covariate
- Conditional Logistic Regression binary
- Conditional Logistic Regression continuous
- Mendelian Randomized Trial - 2 Means
- Mendelian Randomized Trial - 2 Props
Equivalence / Non Inferiority
Determine if new therapies have equivalent or non inferior efficacies to the ones currently in use.
- Equivalence for One Mean
- Equivalence for Paired Means
- Equivalence for One Mean Ratio
- Equivalence for Paired Means Ratio
- Non-inferiority for One Mean
- Non-inferiority for One Log-Normal Mean
- Non-inferiority for Paired Means Ratio
- Non-inferiority for cross-over design
- Non-inferiority for two-sample ratio on log-scale
- Non-inferiority for cross-over ratio on log-scale
- Non-inferiority for two-sample ratio on original scale
- Non-inferiority for cross-over ratio on original scale
- Equivalence for Two Proportions
- Non-inferiority for two Poisson Rates
- Equivalence for Two Poisson Rates
- Equivalence for Negative Binomial
- Non-inferiority for Negative Binomial
- Equivalence for Negative Binomial Unequal Follow-Up
- Non-inferiority for Negative Binomial Unequal Follow-Up
- Non-Inferiority for CRT Means
- Equivalence for CRT Means
- Superiority for CRT Two Means
- Non-inferiority for single proportions
Features / Utilities
IQ/OQ Validation, Automated Updates, nQuery Knowledge Base and fine tune calculations with the Specify Multiple Factors tool.
Plotting
Easily conduct a variety of “What-If” scenarios to align your final sample size choice with your scientific and budgetary requirements.
- Power Vs. Sample Size
- Improved Custom Row Plots
- Multiple Boundaries Plot
- Inverse Boundaries Graph
- Boundaries Graph
Base | Plus | Pro | Expert | |
Confidently Calculate Sample Size & Power for Regulatory Approval | ||||
1000s of Fixed Term Trial Scenarios | V | V | V | V |
Endpoints: Including Means, Survival, Agreement, Count, Regression | V | V | V | V |
Designs: Including Cross-Over, Stepped-Wedge, Cluster Randomized | V | V | V | V |
Statement Generator | V | V | V | V |
Integrate Prior Information, Real World Data and Expert Opinions | ||||
Assurance | V | V | V | |
Credible Intervals | V | V | V | |
Mixed Bayesian/Likelihood Intervals | V | V | V | |
Continual Reassessment Method | V | V | V | |
Posterior Error Rates | V | V | V | |
Run Sophisticated Adaptive Trials in line with the latest regulations | ||||
Blinded Sample Size Re-estimation | V | V | ||
Unblinded Sample Size Re-estimation | V | V | ||
MCP-MOD | V | V | ||
MAMS | V | V | ||
Group Sequential Design | V | V | ||
Group Sequential Design Simulation | V | V | ||
Single Stage Phase II Design | V | V | ||
Two Stage (Simon's) Phase II Design | V | V | ||
Three Stage Phase II Design | V | V | ||
Confidently Predict Future Milestones of Your Trial | ||||
Recruitment Prediction | V | |||
Events Prediction | V | |||
Indicators for early trial termination | V | |||
Statistical Prediction Measures/Graphs | V | |||
Sample Size Determination for Prediction Model | V | |||
Support | ||||
Self-serve knowledge base | V | V | V | V |
Customer support | V | V | V | V |
MINIMUM (known) system requirements for nQuery Advanced.
- 2 core processor of 1 GHz 'speed'
- 3 GB of available hard disk space
- 2GB RAM
- Windows 10, then it must be higher than version 1511.
- -Please note that Windows 10 S is not supported.
- .NET Framework 4.7.1