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. Author manuscript; available in PMC: 2014 Aug 29.
Published in final edited form as: Br J Haematol. 2008 Nov 19;144(2):206–216. doi: 10.1111/j.1365-2141.2008.07450.x

Table 5. Univariate and multivariate logistic regression analysis of continuous blood counts on the survival rate within the first 6 months.

Univariate Logistic Model Multivariate Logistic Model*
Baseline risk Coefficient (β) SD P-value Coefficient (β) SD P-value
Log (ARC+1) 0.4855 0.1410 0.0006 -0.2022 0.1719 < 0.2394
Log (ALC+1) 0.7711 0.2396 0.0013 ------ ------ ------
Log (ANC+1) 0.7571 0.1152 < 0.0001 0.8755 0.1586 < 0.0001
Log (Plt+1) 0.1425 0.2375 0.5485 ------ ------ ------
Log (PNH+1) 0.4362 0.4404 0.3219 ------ ------ ------
Log (Age+1) -0.7244 0.3351 0.0306 ------ ------ ------
*

Stepwise regression with multivariate logistic models returns three log transformed covariates: ANC, Plt and PNH.

------ Variable deleted by the stepwise procedure.

ARC, absolute reticulocyte count; ALC, absolute lymphocyte count, ANC, absolute neutrophil count; PNH, paroxysmal nocturnal haemoglobinuria; Plt, platelet count.