%0 Journal Article %1 Ambrogi2008 %A Ambrogi, Federico %A Biganzoli, Elia %A Boracchi, Patrizia %D 2008 %J Statistics in medicine %K Axilla BreastNeoplasms BreastNeoplasms:mortality BreastNeoplasms:pathology BreastNeoplasms:surgery CauseofDeath Diethylstilbestrol Diethylstilbestrol:administration&dosage Estrogens Female Humans Local LymphNodeExcision LymphaticMetastasis Male Models NeoplasmMetastasis NeoplasmRecurrence Non-Steroidal Non-Steroidal:administration&dosage Prognosis ProstaticNeoplasms ProstaticNeoplasms:drugtherapy ProstaticNeoplasms:mortality ProstaticNeoplasms:pathology Risk Statistical SurvivalAnalysis RCT %N 30 %P 6407-25 %R 10.1002/sim.3455 %T Estimates of clinically useful measures in competing risks survival analysis. %U http://www.ncbi.nlm.nih.gov/pubmed/18937229 %V 27 %X Competing risks occur frequently in follow-up clinical studies. To assess treatment or covariate effects, measures of clinical impact based on crude cumulative incidence should be considered, such as relative risks or the absolute risk reduction. In this work, transformation models through suitable link functions provide a straightforward approach to obtain point and interval estimates of such measures. An extension of the Klein and Andersen proposal, based on pseudo-values, is considered. Non-additive effects were tested by interactions between baseline (spline function on time) and covariates. The methods are applied to the evaluation of the impact of axillary lymph node nanometastases on metastatic relapse of breast cancer patients. Further, a literature data set on prostate cancer was used for illustration. %@ 0277-6715

@article{Ambrogi2008, abstract = {Competing risks occur frequently in follow-up clinical studies. To assess treatment or covariate effects, measures of clinical impact based on crude cumulative incidence should be considered, such as relative risks or the absolute risk reduction. In this work, transformation models through suitable link functions provide a straightforward approach to obtain point and interval estimates of such measures. An extension of the Klein and Andersen proposal, based on pseudo-values, is considered. Non-additive effects were tested by interactions between baseline (spline function on time) and covariates. The methods are applied to the evaluation of the impact of axillary lymph node nanometastases on metastatic relapse of breast cancer patients. Further, a literature data set on prostate cancer was used for illustration.}, added-at = {2023-02-03T11:44:35.000+0100}, author = {Ambrogi, Federico and Biganzoli, Elia and Boracchi, Patrizia}, biburl = {https://www.bibsonomy.org/bibtex/22ed45a54a2b6f9b5a3f7024871f928ca/jepcastel}, city = {Istituto di Statistica Medica e Biometria 'G.A. Maccacaro', Universita degli Studi di Milano, via Venezian 1, 20133 Milano, Italy.}, doi = {10.1002/sim.3455}, interhash = {bf76fca89f9ee0701248e47aab462955}, intrahash = {2ed45a54a2b6f9b5a3f7024871f928ca}, isbn = {0277-6715}, issn = {0277-6715}, journal = {Statistics in medicine}, keywords = {Axilla BreastNeoplasms BreastNeoplasms:mortality BreastNeoplasms:pathology BreastNeoplasms:surgery CauseofDeath Diethylstilbestrol Diethylstilbestrol:administration&dosage Estrogens Female Humans Local LymphNodeExcision LymphaticMetastasis Male Models NeoplasmMetastasis NeoplasmRecurrence Non-Steroidal Non-Steroidal:administration&dosage Prognosis ProstaticNeoplasms ProstaticNeoplasms:drugtherapy ProstaticNeoplasms:mortality ProstaticNeoplasms:pathology Risk Statistical SurvivalAnalysis RCT}, month = {12}, note = {4677<m:linebreak></m:linebreak>JID: 8215016; ppublish;<m:linebreak></m:linebreak>Anàlisi de supervivència; Competing risks}, number = 30, pages = {6407-25}, pmid = {18937229}, timestamp = {2023-05-04T09:00:45.000+0200}, title = {Estimates of clinically useful measures in competing risks survival analysis.}, url = {http://www.ncbi.nlm.nih.gov/pubmed/18937229}, volume = 27, year = 2008 }