Fitting of the lognormal model estimation to the Kaplan-Meier curve for 1975–1977

<p><b>Copyright information:</b></p><p>Taken from "Short- and long-term cause-specific survival of patients with inflammatory breast cancer"</p><p>BMC Cancer 2005;5():137-137.</p><p>Published online 22 Oct 2005</p><p>PMCID:PMC1283744.</p><p>Copyright © 2005 Tai et al; licensee BioMed Central Ltd.</p

Fitting of the lognormal model estimation to the Kaplan-Meier curve for 1993–1995

<p><b>Copyright information:</b></p><p>Taken from "Short- and long-term cause-specific survival of patients with inflammatory breast cancer"</p><p>BMC Cancer 2005;5():137-137.</p><p>Published online 22 Oct 2005</p><p>PMCID:PMC1283744.</p><p>Copyright © 2005 Tai et al; licensee BioMed Central Ltd.</p

Fitting of the lognormal model estimation to the Kaplan-Meier curve for 1990–1992

<p><b>Copyright information:</b></p><p>Taken from "Short- and long-term cause-specific survival of patients with inflammatory breast cancer"</p><p>BMC Cancer 2005;5():137-137.</p><p>Published online 22 Oct 2005</p><p>PMCID:PMC1283744.</p><p>Copyright © 2005 Tai et al; licensee BioMed Central Ltd.</p

Fitting of the lognormal model estimation to the Kaplan-Meier curve for 1978–1980

<p><b>Copyright information:</b></p><p>Taken from "Short- and long-term cause-specific survival of patients with inflammatory breast cancer"</p><p>BMC Cancer 2005;5():137-137.</p><p>Published online 22 Oct 2005</p><p>PMCID:PMC1283744.</p><p>Copyright © 2005 Tai et al; licensee BioMed Central Ltd.</p

Unadjusted breast cancer mortality as a function of the estimated log odds of nodal involvement in T1–T2 breast cancer

<p><b>Copyright information:</b></p><p>Taken from "Ratios of involved nodes in early breast cancer"</p><p>Breast Cancer Research 2004;6(6):R680-R688.</p><p>Published online 6 Oct 2004</p><p>PMCID:PMC1064081.</p><p>Copyright © 2004 Vinh-Hung et al.; licensee BioMed Central Ltd</p> Red dots are node-negative patients, and blue are node-positive patients. The smallest dots represent 1–20 patients and the largest dots represent >200 patients. The straight lines highlight the different slopes but should not be interpreted as the basis for extrapolation (they would extrapolate to 100% mortalities)

Unadjusted breast-cancer mortality as a function of the percentage of involved nodes in T1–T2 breast cancer based on the SEER (Surveillance, Epidemiology, and End Results) program data

<p><b>Copyright information:</b></p><p>Taken from "Ratios of involved nodes in early breast cancer"</p><p>Breast Cancer Research 2004;6(6):R680-R688.</p><p>Published online 6 Oct 2004</p><p>PMCID:PMC1064081.</p><p>Copyright © 2004 Vinh-Hung et al.; licensee BioMed Central Ltd</p> Dot size computed as a step function of the number of patients at risk: smallest dots 1–20 patients and the largest dots >200 patients. The straight line highlights the trend but should not be interpreted as the basis for extrapolation

Joint effect of the numbers of involved nodes (npos) and uninvolved nodes (nneg) on survival in T1–T2 breast cancer

<p><b>Copyright information:</b></p><p>Taken from "Ratios of involved nodes in early breast cancer"</p><p>Breast Cancer Research 2004;6(6):R680-R688.</p><p>Published online 6 Oct 2004</p><p>PMCID:PMC1064081.</p><p>Copyright © 2004 Vinh-Hung et al.; licensee BioMed Central Ltd</p> Part of the contour plot was partially filled at the corners by padding. The pattern of isoprobability contours radiating from the origin suggests that similar ratios of involved/uninvolved nodes were associated with similar Kaplan–Meier survival estimates (for example. 8 npos/10 nneg has approximately the same 75% [contour line 0.75] 5-year survival chance as 4 npos/5 nneg). Reproduced with permission from Vin-Hung and coworkers [28]. Colors were omitted in the original publication