def __init__(self, model, parent=None):
MetaRegressionWizard.__init__(self, model=model, parent=parent)
self.analysis_label="Model Building"
self.setWindowTitle(self.analysis_label)
# Add models page
self.add_models_page = AddModelsPage()
self.setPage(Page_AddModels, self.add_models_page)
# Instructions page
self.instructions_page = InstructionsPage()
self.setPage(Page_Instructions, self.instructions_page)
# Reconfigure meta regression details page a bit
self.meta_reg_details_page.parametric_radioButton.setChecked(True)
self.meta_reg_details_page.analysis_type_groupBox.setEnabled(False)
self.meta_reg_details_page.conditional_means_checkBox.setChecked(False)
self.meta_reg_details_page.output_type_groupBox.setEnabled(False)
self.meta_reg_details_page.disable_omnibus()
class ModelBuildingWizard(MetaRegressionWizard):
def __init__(self, model, parent=None):
MetaRegressionWizard.__init__(self, model=model, parent=parent)
self.analysis_label="Model Building"
self.setWindowTitle(self.analysis_label)
# Add models page
self.add_models_page = AddModelsPage()
self.setPage(Page_AddModels, self.add_models_page)
# Instructions page
self.instructions_page = InstructionsPage()
self.setPage(Page_Instructions, self.instructions_page)
# Reconfigure meta regression details page a bit
self.meta_reg_details_page.parametric_radioButton.setChecked(True)
self.meta_reg_details_page.analysis_type_groupBox.setEnabled(False)
self.meta_reg_details_page.conditional_means_checkBox.setChecked(False)
self.meta_reg_details_page.output_type_groupBox.setEnabled(False)
self.meta_reg_details_page.disable_omnibus()
def nextId(self):
current_id = self.currentId()
return self.nextId_helper(current_id)
def nextId_helper(self, page_id):
if page_id == Page_ChooseEffectSize:
return Page_DataLocation
elif page_id == Page_DataLocation:
return Page_RefineStudies
elif page_id == Page_RefineStudies:
return Page_MetaRegDetails
elif page_id == Page_MetaRegDetails:
return Page_Instructions
elif page_id == Page_Instructions:
return Page_SelectCovariates
elif page_id == Page_SelectCovariates:
if self._categorical_covariates_selected():
return Page_ReferenceValues
else:
return Page_AddModels
elif page_id == Page_ReferenceValues:
return Page_AddModels
elif page_id == Page_AddModels:
return Page_Summary
elif page_id == Page_Summary:
return -1
def get_models_info(self):
return self.add_models_page.get_models_info()
# Old ideas. They might be useful in the future.
# Pages:
# 1) Specify saturated model covariates and add interaction terms
# 2) Specify models by on a dialog. The models will show up in a list on the
# left. There will be a button "new model" which will pop-up a dialog which
# prompts the user for a name and which covariates and interaction terms
# will be used. The combination of covariates and interaction terms must be
# unique for each model. Also, each subsequent model must be a subset of the
# previous model
# 3) The rest will be like the meta-regression wizard but:
# a) The list of available studies to include will be filtered by those that
# have data for all the covariates specified.
# b) The "Select covariates for regression" page will not be present. (The
# params previously specified there (conf. level and fixed vs. random
# effects will be found on page #2 (the specify models dialog)
#
# 4) The rest will be like the normal meta-regression wizard
#
# Results:
# Option A: Show results in a table (see jessica email) with each successive
# model i.e. the reverse of the order that they were entered.
#
#
# Option B: For all possible combinations: (NO LONGER GOING TO IMPLEMENT, for now ....)
# A lower-triangular table labeled with model names on each axis. The main
# diagonal will be blank. Clicking a square will show the results output on the
# right hand side of the dialog. (exportable like the results_window)
