Improvements in the logistic regression module: (1) improved numerical stability (in particular for lognormal distributed covariates) (2) additional validity checks for input parameters (this applies also to the poisson regression module) (3) in sensitivity analyses the handling of cases in which the power does not increase monotonically with effect size is improved: an additional Actual power output field has been added a deviation of this actual power value from the one requested on the input side indicates such cases it is recommended that you check how the power depends on the effect size in the plot window. 31 January 2014 - Release 3.1.8 Mac and Windows Note, however, that the change affects the results only when N is very small. Negative effect directions, that is, slope|H1 = upper limit.

6 February 2019 - Release 3.1.9.4 Mac and Windowsįixed a bug in t tests: Linear bivariate regression: One group, size of slope. 14 January 2020 - Release 3.1.9.5 Macįixed a bug that caused the “Options” button (which is available for some tests in the main window) to disappear when “Hide distributions & control” was selected.

21 February 2020 - Release 3.1.9.6 Mac and Windowsįixed a bug in z tests: Generic z test: Analysis: Criterion: Compute alpha: The critical z was calculated incorrectly.įixed a bug in t tests: Linear bivariate regression: One group, size of slope: |sy/sx| was sometimes calculated inccorrecty.

Changed the behavior of the “X-Y plot for a range of values” which allowed plotting graphs after changing input parameters in the main window without hitting the “Calculate” button which, however, is required to update the “X-Y plot for a range of values” with the new input parameters from the main dialog.

Too steep download