statsmodels.stats.contingency_tables.StratifiedTable

class statsmodels.stats.contingency_tables.StratifiedTable(tables, shift_zeros=False)[source]

Analyses for a collection of 2x2 contingency tables.

Such a collection may arise by stratifying a single 2x2 table with respect to another factor. This class implements the ‘Cochran-Mantel-Haenszel’ and ‘Breslow-Day’ procedures for analyzing collections of 2x2 contingency tables.

Parameters
tableslist or ndarray

Either a list containing several 2x2 contingency tables, or a 2x2xk ndarray in which each slice along the third axis is a 2x2 contingency table.

Notes

This results are based on a sampling model in which the units are independent both within and between strata.

Methods

from_data(var1, var2, strata, data)

Construct a StratifiedTable object from data.

logodds_pooled()

Returns the logarithm of the pooled odds ratio.

logodds_pooled_confint([alpha, method])

A confidence interval for the pooled log odds ratio.

logodds_pooled_se()

Estimated standard error of the pooled log odds ratio

oddsratio_pooled()

The pooled odds ratio.

oddsratio_pooled_confint([alpha, method])

A confidence interval for the pooled odds ratio.

riskratio_pooled()

Estimate of the pooled risk ratio.

summary([alpha, float_format, method])

A summary of all the main results.

test_equal_odds([adjust])

Test that all odds ratios are identical.

test_null_odds([correction])

Test that all tables have odds ratio equal to 1.

risk_pooled