22c2d129e34e9d9ce9d1917d6d0bcdf90903fb2f,statsmodels/stats/meta_analysis.py,CombineResults,test_homogeneity,#CombineResults#,125
Before Change
degrees of freedom, equal to number of studies or sample minus 1.
pvalue = stats.chi2.sf(self.q, self.k - 1)
return self.q, pvalue, self.k - 1
def summary_array(self, alpha=0.05, use_t=None):
Create array with sample statistics and mean estimates
After Change
minus 1.
pvalue = stats.chi2.sf(self.q, self.k - 1)
res = HolderTuple(statistic=self.q,
pvalue=pvalue,
df=self.k - 1,
distr="chi2")
return res
def summary_array(self, alpha=0.05, use_t=None):
Create array with sample statistics and mean estimates
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 4
Instances Project Name: statsmodels/statsmodels
Commit Name: 22c2d129e34e9d9ce9d1917d6d0bcdf90903fb2f
Time: 2020-07-09
Author: josef.pktd@gmail.com
File Name: statsmodels/stats/meta_analysis.py
Class Name: CombineResults
Method Name: test_homogeneity
Project Name: statsmodels/statsmodels
Commit Name: 735177c5b4dea9fa60afdc896cca5451fee7da21
Time: 2020-05-04
Author: josef.pktd@gmail.com
File Name: statsmodels/stats/rates.py
Class Name:
Method Name: test_poisson_2indep
Project Name: statsmodels/statsmodels
Commit Name: f12591b5ea1ef539e61783cb11da96b8961c8e95
Time: 2020-07-31
Author: josef.pktd@gmail.com
File Name: statsmodels/stats/rates.py
Class Name:
Method Name: tost_poisson_2indep