Results

Logistic Regression

Model Summary - Cured
Model		Deviance		AIC		BIC		df		ΔΧ²		p		McFadden R²		Nagelkerke R²		Tjur R²		Cox & Snell R²
M₀		154.084		156.084		158.811		112						0.000				0.000
M₁		144.156		150.156		158.338		110		9.928		0.007		0.064		0.113		0.086		0.084
M₂		144.156		150.156		158.338		110		0.000				0.064		0.113		0.086		0.084
M₃		144.095		152.095		163.004		109		0.061		0.805		0.065		0.114		0.087		0.085

Note. M₁ includes Intervention, Duration
Note. M₂ includes Duration, Intervention
Note. M₃ includes Duration, Intervention, Duration:Intervention

Coefficients
												Wald Test						95% Confidence interval (odds ratio scale)
Model				Estimate		Robust Standard Error		Odds Ratio		z		Wald Statistic		df		p		Lower bound		Upper bound
M₀		(Intercept)		0.303		0.190		1.354		1.593		2.538		1		0.111		0.933		1.966
M₁		(Intercept)		-0.235		1.219		0.791		-0.192		0.037		1		0.847		0.073		8.625
		Intervention (Treatment)		1.234		0.414		3.433		2.982		8.854		1		0.003		1.526		7.723
		Duration		-0.008		0.176		0.992		-0.045		0.002		1		0.964		0.703		1.401
M₂		(Intercept)		-0.235		1.219		0.791		-0.192		0.037		1		0.847		0.073		8.625
		Duration		-0.008		0.176		0.992		-0.045		0.002		1		0.964		0.703		1.401
		Intervention (Treatment)		1.234		0.414		3.433		2.982		8.854		1		0.003		1.526		7.723
M₃		(Intercept)		-0.520		1.665		0.594		-0.313		0.095		1		0.755		0.023		15.523
		Duration		0.034		0.243		1.035		0.142		0.020		1		0.887		0.643		1.665
		Intervention (Treatment)		1.850		2.526		6.363		0.733		0.533		1		0.464		0.045		899.362
		Duration * Intervention (Treatment)		-0.087		0.351		0.917		-0.248		0.061		1		0.804		0.461		1.822

Note. Cured level 'Cured' coded as class 1.

Performance Diagnostics

Confusion matrix
		Predicted
Observed		Not cured		Cured		% Correct
Not cured		32		16		66.667
Cured		24		41		63.077
Overall % Correct						64.602

Note. The cut-off value is set to 0.5

Logistic Regression: Only Intervention

Model Summary - Cured
Model		Deviance		AIC		BIC		df		ΔΧ²		p		McFadden R²		Nagelkerke R²		Tjur R²		Cox & Snell R²
M₀		154.084		156.084		158.811		112						0.000				0.000
M₁		144.158		148.158		153.613		111		9.926		0.002		0.064		0.113		0.086		0.084

Note. M₁ includes Intervention

Coefficients
												Wald Test						95% Confidence interval (odds ratio scale)
Model				Estimate		Robust Standard Error		Odds Ratio		z		Wald Statistic		df		p		Lower bound		Upper bound
M₀		(Intercept)		0.303		0.190		1.354		1.593		2.538		1		0.111		0.933		1.966
M₁		(Intercept)		-0.288		0.270		0.750		-1.065		1.135		1		0.287		0.442		1.273
		Intervention (Treatment)		1.229		0.400		3.417		3.074		9.447		1		0.002		1.561		7.480

Note. Cured level 'Cured' coded as class 1.

Performance Diagnostics

Confusion matrix
		Predicted
Observed		Not cured		Cured		% Correct
Not cured		32		16		66.667
Cured		24		41		63.077
Overall % Correct						64.602

Note. The cut-off value is set to 0.5

Estimates plots

Intervention