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MR estimates were obtained using the Wald ratio method (1).
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Statistical significance of the regression coefficients was tested by using the Wald likelihood ratio test.
P values for individual covariates were calculated using the Wald test and the likelihood ratio test for the overall model.
We appraised the precision by the standard error (SE) of the explanatory variables, and tested parameters using the Wald statistic i.e. the ratio of the estimated variance to its standard error [ 29], and we calculated p-values.
To compare the impact of different factors on PFS and OS a multivariate Cox proportional hazard regression analysis was performed and corresponding hazard ratios were tested using the Wald test.
Associations will be tested using the Wald test and described through the hazard ratios and 95%% CIs.
Associations will be tested using the Wald test and described through the odds ratios and 95%% CIs.
Binary logistic regression for survey data were used to estimate weighted adjusted odds ratios with 95% CIs using the Wald P-value.
Their hazard ratio's (HRs) and 95% CIs were calculated using the Wald test.
Odds ratios (OR) with 95% confidence interval (CI) were calculated using the Wald method.
Odds ratios were calculated from a Chi square table and confidence intervals defined using the Wald statistic.
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