{"example":"Forest Plot: Meta-Analysis","labtools_version":"0.14.3","generated":"2026-09-23","calls":[{"label":"stats.describe","method":"stats.describe","params":{},"result":{"columns":[{"excess_kurtosis":-1.7857213265829532,"iqr":0.23599044696017107,"max":-0.11878353598996698,"mean":-0.30066696685039823,"median":-0.33343181952321516,"min":-0.4636240222816965,"n":8,"n_missing":0,"name":"log(OR)","q1":-0.40674464723335596,"q3":-0.1707542002731849,"range":0.34484048629172953,"sd":0.1386315955028058,"sem":0.049013670633372225,"skewness":0.29132437409465856,"sum":-2.405335734803186,"variance":0.019218719271653563}],"n_columns":1,"notes":["Group 'log(OR)' has n = 8; normality screening has very low power at this size, so a non-significant Shapiro–Wilk is weak evidence of normality."],"source":{"kind":"arrays"}},"error":null},{"label":"stats.normality","method":"stats.normality","params":{"method":"shapiro_wilk"},"result":{"all_normal":true,"alpha":0.05,"method":"shapiro_wilk","notes":["Group 'log(OR)' has n = 8; normality screening has very low power at this size, so a non-significant Shapiro–Wilk is weak evidence of normality."],"results":[{"excess_kurtosis":-1.7857213265829532,"group":"log(OR)","interpretation":"Data is consistent with normality (W = 0.8929, p = 0.2491)","n":8,"normality_rejected":false,"p_value":0.24912213008433098,"skewness":0.29132437409465856,"statistic":0.8929303243668161,"test":"Shapiro-Wilk"}],"source":{"kind":"arrays"}},"error":null},{"label":"stats.normality","method":"stats.normality","params":{"method":"anderson_darling"},"result":{"all_normal":true,"alpha":0.05,"method":"anderson_darling","notes":["Group 'log(OR)' has n = 8; normality screening has very low power at this size, so a non-significant Shapiro–Wilk is weak evidence of normality."],"results":[{"excess_kurtosis":-1.7857213265829532,"group":"log(OR)","interpretation":"Data is consistent with normality (A² = 0.3746, p = 0.3202)","n":8,"normality_rejected":false,"p_value":0.320243048792933,"skewness":0.29132437409465856,"statistic":0.37460723471950175,"test":"Anderson-Darling"}],"source":{"kind":"arrays"}},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"pearson"},"result":{"alpha":0.05,"coefficient":0.3930161862834051,"interpretation":"No significant correlation (r = 0.393, p = 0.3355)","method":"pearson","n":8,"n_dropped":0,"notes":["n = 8 is small; the confidence in this coefficient is very low whatever the p-value says.","Pearson's r measures LINEAR association only, and is sensitive to outliers. A scatter plot (plot.create kind='scatter') is worth a look before reporting it; use method='spearman' if the relationship is monotonic but curved."],"p_value":0.3354608171662625,"r_squared":0.1544617226807522,"significant":false,"source":{"kind":"arrays"},"t_statistic":1.0469342935597208,"test":"Pearson","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"spearman"},"result":{"alpha":0.05,"coefficient":0.2619047619047619,"interpretation":"No significant monotonic correlation (ρ = 0.262, p = 0.5309)","method":"spearman","n":8,"n_dropped":0,"notes":["n = 8 is small; the confidence in this coefficient is very low whatever the p-value says."],"p_value":0.5309228615658212,"r_squared":null,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.6647365038857848,"test":"Spearman","variables":["a","b"]},"error":null},{"label":"stats.correlation","method":"stats.correlation","params":{"method":"kendall"},"result":{"alpha":0.05,"coefficient":0.14285714285714285,"interpretation":"No significant rank correlation (τ = 0.143, p = 0.6207)","method":"kendall","n":8,"n_dropped":0,"notes":["n = 8 is small; the confidence in this coefficient is very low whatever the p-value says."],"p_value":0.620690717075371,"r_squared":null,"significant":false,"source":{"kind":"arrays"},"t_statistic":0.4948716593053935,"test":"Kendall","variables":["a","b"]},"error":null}]}