nQuery Advisor® 7.0 + nTerim 2.0
Features at a glance | System-Requierments
| Additional Information
nQuery Advisor® is a nice product that fills the very specialized need
for power and sample size studies. This aspect of experimental design is
so important that it is suprising it's not incorporated into all major
statistical packages, at least to the depth found here. The very
user-friendly interface makes data entry simple, and the inclusion of
explanatory cards alongside the entry table does much to aid the new user
in understanding what is needed. By diligently studying sections of the
manual and practicing on actual data, the research scientist will find
much of value in the study of experi-mental design. The statistician will
be able to perform many routine analyses and estimates quickly without the
necessity of hand calculation for intermediate steps.
nQuery Advisor® provides calculations for the needed sample size at the
following experimental designs:
- Value Comparison of paired observations
- Repeated Measurements
- Cross-Over-Design and Equivalence-Tests
- Mann-Whitney U-Test
- Regression Analysis: linear, multiple and logistical Regression
- Survival Analysis
- Comparison of Frequencies: (crosstables)
- Confidence Interval for mean values and frequencies
Features at a glance
Sample
Size Tables
New
Features
Sample Size Tables
| Means |
Proportions |
Agreement |
Survival |
-
One group t
-
Paired t
-
Student's t-test(equal
variances)
-
Sattherthwaite's t-test
(unequal variances)
-
Two group t-test
for fold change assuming
log-normal distribution
-
Two group t-test
of equal fold change
with fold change threshold
-
Crossover (2x2)
-
One way analysis of variance
-
Two way analysis of variance
-
Repeated measures ANOVA
(one and two group)
-
Contrasts
Confidence Intervals
-
One group
-
Paired design
-
Two group
-
Contrasts
-
For normal limits
Equivalence and
Bioequivalence Tests
-
Paired design
-
Two group
(difference in means)
-
Two group
(ratio of means)
-
Crossover
(difference in means)
-
Crossover
(ratio of means)
|
-
One group binomial (exact)
-
Paired
(McNemar's and exact tests)
-
Two group Chi-square
-
Continuity corrected
Chi-square
-
Fisher's Exact Test
-
Gx2 table Chi-square
-
Logistic model for Gx2 table
-
Cochran / Mantel - Haenszel
-
Goodness of fit, C categories
-
Two - group, C categories
-
G - group, C categories
Confidence Intervals
-
One group binomial
-
One group binomial (rare event)
-
Paired design (odds ratio)
-
Two group
(difference/odds ratio)
-
Two group (relative risk)
One sided and TOST
Equivalence Tests
Using Confidence Intervals
-
For paired proportions
-
For two independent
proportions
|
- One Group Tests and
Confidence Intervals
- Kappa
- Correlation coefficient
- Lin's concordance coefficient
- Intra-class correlation
|
- Two group Tests
- Test of exponential
survival (accrual/dropouts)
- Log-rank test (simulation)
for user-specified accrual,
hazard rates, dropout
rates (equal and unequal n's)
- Non-inferiority test
|
| Regression |
Features |
- Tests and
Confidence Intervals
- Logistic regression
(one or multiple covariates)
- Linear regression
- Multiple regression
- Multiple regression
(with partialling)
- Tests and confidence
intervals for regression
- slopes in one and two
- sample designs
|
- Equal or unequal n's
- Finite population corrections
- Cluster sample corrections
- Kupper-Hafner CI modification
- Plots
- Statements
- Effect size assistance
- References
- Standard deviation calculator
- Column names
- Tables, statements, guides
in RTF format
- Decimal display controls
- Create randomization list
|
| Plots |
Nonparametric |
- Multiple plot options
allowing user
specification of
x and y axes
(power vs n,
interval width vs n,
and power or n
versus effect size)
|
- Tests
- Wilcoxon/Mann-Whitney
rank-sum test
(continuous outcome
or ordered scale)
|
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|
New Features
Sample Size Tables
-
Repeated measures design for two means
Compute power or sample size for the time averaged
difference between two means test in a repeated measures
design.
-
Analysis of covariance (ANCOVA)
Compute power or sample size for analysis of covariance
designs.
-
Multivariate analysis of variance (MANOVA)
Compute power or sample size for multivariate analysis of
variance designs.
-
Repeated measures design for two proportions
Compute power or sample size for the time averaged
difference between two means test in a repeated measures
design.
-
Option to include early stopping for futility for groups
sequential trial design
Compute power or sample size for designs that include early
stopping for futility
Click to view larger image
Plotting
-
Multiple Boundaries Plot
You can compare the boundaries information from a number of
group sequential designs using this plot.
-
Inverse Boundaries Graph
This graph is an alternative to the boundaries graph. With
this graph the stopping regions are shaded.
Click to view larger image
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|
System Requirements
| |
Windows® |
| Further Requirements |
VGA graphic board |
| Operating System |
Windows 98, 2000, NT, XP, Vista, 7 |
| Minimum CPU |
80486 50 MHz Processor or higher |
| Min. RAM |
16 MB RAM required (32 MB or more
recommended) |
| Disk Space |
5 MB of free disk space |
Additional Information
| 
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Product Description
