LogXact® 12
Exact Interference for Logistic Regression
The Advantages of LogXact 12
The complexity of conducting regression analysis over multiple covariates is well-documented. The challenge only intensifies when coupled with small sample sizes or missing data sets. LogXact aims to provide simple and accurate solutions for such difficulties.
LogXact can handle many varieties of response data including continuous and binary, polytonomous, count, and missing data. It also contains rarified methods like bias correction for exact Poisson regression and maximum likelihood estimation for multinomial data. Users of the software can be confident in their results, derived from LogXact’s advanced regression techniques.
The complexity of conducting regression analysis over multiple covariates is well-documented. The challenge only intensifies when coupled with small sample sizes or missing data sets. LogXact aims to provide simple and accurate solutions for such difficulties.
LogXact can handle many varieties of response data including continuous and binary, polytonomous, count, and missing data. It also contains rarified methods like bias correction for exact Poisson regression and maximum likelihood estimation for multinomial data. Users of the software can be confident in their results, derived from LogXact’s advanced regression techniques.
The Benefits of LogXact
Empower
Play a more strategic role in your organization: Perform fast and accurate hypothesis-testing that is responsive to an array of trial needs. Obtain reliable results for smaller sample sizes, allowing for timely and cost-effective trials. Redirect time, attention and critical resources to other vital aspects of study success.
Access
Access LogXact’s selection of exact and Monte Carlos tests to increase the statistical power of trial results. Unnecessary risks associated with conventional (asymptotic) testing are curtailed using performance software that is fast and accurate.
Share
LogXact simplifies tests that normally require complex calculation. Findings that should be difficult to compute are easy to identify and communicate.
Trust
LogXact has harnessed the immense power of Cytel’s nonparametric and exact inference methods to make enduring contributions to the fields of population health, medical research and clinical studies, epidemiology, economics, energy, finance, legal studies, natural sciences, geography and the brain sciences.
LogXact has received acclaim from both industry and academia for its high quality performance of complex calculations.
The Features of LogXact 12
The Full Toolkit
LogXact performs regression analysis for continuous, binary, polytonomous and count data. It can also apply advanced regression techniques to data sets with missing values.
Missing Covariates
Only in LogXact can users accurately fit general linear models in cases of missing categorical covariates (models include Logit, Probit, CLoglog, Poisson and Normal).
Large Data Sets
LogXact provides options to handle large data sets using exact methods, Monte Carlo sampling and Markhov Chain Monte Carlo sampling. A useful ‘Exploration Mode’ allows users to specify parameters to build networks that satisfy analysis needs.
Innovations in LogXact 12
- Saddle point approximation method for inference conditioned on more than one nuisance parameters using higher-order asymptotic.
- Bias corrected Maximum Likelihood Estimation (MLE) for multinomial data
- Bias corrected MLE for Exact Poisson regression to complement bias correction method by Firth.