Logxact

What is Logxact?

EXACT INFERENCE FOR LOGISTIC REGRESSION

The complexity of conducting regression analysis over several covariates is well documented. The challenge only intensifies when combined with small sample sizes or missing datasets. LogXact aims to provide simple and accurate solutions to these difficulties.

LogXact can handle many varieties of response data, including continuous and binary, politic, count, and missing data. Software users can rely on results derived from logxact's advanced regression techniques.

The advantages of LogXact 12

The LogXact 12 weapon statisticians with the most advanced methods in accurate inference and regression modeling for quick and accurate analysis. Its powerful algorithms allow you to efficiently analyze stratified and non-stratified datasets, regardless of size. Our specialized team of software developers carefully designs and tests our industry-leading algorithms to ensure validation readiness along with computational speed – ensuring your peace of mind.

LogXact continues to set the pattern on all facets of regression modeling using exact inference. It is the first to offer the widely acclaimed PMLE procedure, which minimizes separation bias and exhibits significantly lower error rates compared to typical maximum probability estimators.

Cytel software is a "state of science" and I have always been particularly impressed with how it has continuously evolved to meet the needs of the research and clinical trials community."

The benefits of LogXact 12

Empowerment

Play a more strategic role in your organization: perform fast and accurate hypothesis testing that meets a variety of testing needs. Get reliable results for smaller samples, enabling timely and economical testing. Redirect time, attention, and critical resources to other vital aspects of the study's success.

Evaluate

The unnecessary risks associated with conventional (asynatotic) testing are reduced using performance software that is fast and accurate.

Share

LogXact simplifies tests that typically require complex calculations. Discoveries that should be difficult to calculate are easy to identify and communicate.

Trust in

LogXact harnessed the immense power of Cytel's nonparametric and accurate inference methods to make lasting contributions to the fields of population health, medical and clinical studies, epidemiology, economics, energy, finance, legal studies, natural sciences, geography, and brain sciences. LogXact has received praise from the industry and academia for its high-quality performance in complex calculations.

The features of LogXact 12

The Complete Toolkit

LogXact performs regression analysis for continuous, binary, polytonic, and count data. You can also apply advanced regression techniques to datasets with missing values.

Covariáveis absent

LogXact only users can accurately adjust general linear models in cases of missing categorical covariates (models include Logit, Probit, CLoglog, Poisson, and Normal).

Large datasets

LogXact has options for handling large data sets using exact methods, Monte Carlo sampling, and Markhov Chain Monte Carlo sampling. A useful 'Exploit Mode' allows users to specify parameters to build networks that meet analytics needs.

Innovations in LogXact 12

• Saddle point approach method for conditioned inference in more than one nuisance parameter using higher-order asynotics.
• Maximum likelihood estimate (MLE) corrected by bias for multinomial data
• The bias corrected the MLE for poisson's exact regression to complement firth's bias correction method.

System requirements:

CPU: 1.8 GHz dual core processor

RAM: 2 GB

HDD / SSD: 50 GB of free space on the main drive

Operating system: Microsoft Windows 8 32-bit, Microsoft Windows 7 32-bit and Microsoft Windows Vista 32-bit

Resolution: 1024×768