152 related articles for article (PubMed ID: 26756274)
21. Estimating a time-dependent concordance index for survival prediction models with covariate dependent censoring.
Gerds TA; Kattan MW; Schumacher M; Yu C
Stat Med; 2013 Jun; 32(13):2173-84. PubMed ID: 23172755
[TBL] [Abstract][Full Text] [Related]
22. Prediction accuracy for the cure probabilities in mixture cure models.
Jiang W; Sun H; Peng Y
Stat Methods Med Res; 2017 Oct; 26(5):2029-2041. PubMed ID: 28523948
[TBL] [Abstract][Full Text] [Related]
23. Biochemical recurrence-free conditional probability after radical prostatectomy: A dynamic prognosis.
García-Barreras S; Sanchez-Salas R; Mejia-Monasterio C; Muttin F; Secin F; Dell'Oglio P; Nunes-Silva I; Srougi V; Barret E; Rozet F; Prapotnich D; Cathelineau X
Int J Urol; 2019 Jul; 26(7):725-730. PubMed ID: 31001870
[TBL] [Abstract][Full Text] [Related]
24. Estimation of treatment effect adjusting for dependent censoring using the IPCW method: an application to a large primary prevention study for coronary events (MEGA study).
Yoshida M; Matsuyama Y; Ohashi Y;
Clin Trials; 2007; 4(4):318-28. PubMed ID: 17848493
[TBL] [Abstract][Full Text] [Related]
25. Two positive nodes represent a significant cut-off value for cancer specific survival in patients with node positive prostate cancer. A new proposal based on a two-institution experience on 703 consecutive N+ patients treated with radical prostatectomy, extended pelvic lymph node dissection and adjuvant therapy.
Briganti A; Karnes JR; Da Pozzo LF; Cozzarini C; Gallina A; Suardi N; Bianchi M; Freschi M; Doglioni C; Fazio F; Rigatti P; Montorsi F; Blute ML
Eur Urol; 2009 Feb; 55(2):261-70. PubMed ID: 18838212
[TBL] [Abstract][Full Text] [Related]
26. Comparative assessment of the 1992 and 2002 pathologic T3 substages for the prediction of biochemical recurrence after radical prostatectomy.
Steuber T; Erbersdobler A; Graefen M; Haese A; Huland H; Karakiewicz PI
Cancer; 2006 Feb; 106(4):775-82. PubMed ID: 16400637
[TBL] [Abstract][Full Text] [Related]
27. A validation of two preoperative nomograms predicting recurrence following radical prostatectomy in a cohort of European men.
Graefen M; Karakiewicz PI; Cagiannos I; Hammerer PG; Haese A; Palisaar J; Fernandez S; Noldus J; Erbersdobler A; Huland H; Scardino PT; Kattan MW
Urol Oncol; 2002; 7(4):141-6. PubMed ID: 12474529
[TBL] [Abstract][Full Text] [Related]
28. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
[TBL] [Abstract][Full Text] [Related]
29. Improved prediction of disease relapse after radical prostatectomy through a panel of preoperative blood-based biomarkers.
Shariat SF; Karam JA; Walz J; Roehrborn CG; Montorsi F; Margulis V; Saad F; Slawin KM; Karakiewicz PI
Clin Cancer Res; 2008 Jun; 14(12):3785-91. PubMed ID: 18559597
[TBL] [Abstract][Full Text] [Related]
30. Generalized mean residual life models for survival data with missing censoring indicators.
Li W; Ma H; Faraggi D; Dinse GE
Stat Med; 2023 Feb; 42(3):264-280. PubMed ID: 36437483
[TBL] [Abstract][Full Text] [Related]
31. Quantifying and comparing dynamic predictive accuracy of joint models for longitudinal marker and time-to-event in presence of censoring and competing risks.
Blanche P; Proust-Lima C; Loubère L; Berr C; Dartigues JF; Jacqmin-Gadda H
Biometrics; 2015 Mar; 71(1):102-113. PubMed ID: 25311240
[TBL] [Abstract][Full Text] [Related]
32. Integration of gene expression profiling and clinical variables to predict prostate carcinoma recurrence after radical prostatectomy.
Stephenson AJ; Smith A; Kattan MW; Satagopan J; Reuter VE; Scardino PT; Gerald WL
Cancer; 2005 Jul; 104(2):290-8. PubMed ID: 15948174
[TBL] [Abstract][Full Text] [Related]
33. Model evaluation based on the negative predictive value for interval-censored survival outcomes.
Han S; Tsui KW; Andrei AC
Stat Methods Med Res; 2017 Apr; 26(2):661-673. PubMed ID: 25305195
[TBL] [Abstract][Full Text] [Related]
34. Biostatistical modeling using traditional preoperative and pathological prognostic variables in the selection of men at high risk for disease recurrence after radical prostatectomy for prostate cancer.
Bauer JJ; Connelly RR; Seterhenn IA; Deausen J; Srivastava S; McLeod DG; Moul JW
J Urol; 1998 Mar; 159(3):929-33. PubMed ID: 9474185
[TBL] [Abstract][Full Text] [Related]
35. Naive Bayesian-based nomogram for prediction of prostate cancer recurrence.
Demsar J; Zupan B; Kattan MW; Beck JR; Bratko I
Stud Health Technol Inform; 1999; 68():436-41. PubMed ID: 10724923
[TBL] [Abstract][Full Text] [Related]
36. Review and comparison of ROC curve estimators for a time-dependent outcome with marker-dependent censoring.
Blanche P; Dartigues JF; Jacqmin-Gadda H
Biom J; 2013 Sep; 55(5):687-704. PubMed ID: 23794418
[TBL] [Abstract][Full Text] [Related]
37. Modeling potential time to event data with competing risks.
Li L; Hu B; Kattan MW
Lifetime Data Anal; 2014 Apr; 20(2):316-34. PubMed ID: 24061908
[TBL] [Abstract][Full Text] [Related]
38. Augmented and doubly robust G-estimation of causal effects under a Structural nested failure time model.
Mertens K; Vansteelandt S
Biometrics; 2018 Jun; 74(2):472-480. PubMed ID: 28742252
[TBL] [Abstract][Full Text] [Related]
39. Pre- and post-operative nomograms to predict recurrence-free probability in korean men with clinically localized prostate cancer.
Kang M; Jeong CW; Choi WS; Park YH; Cho SY; Lee S; Lee SB; Ku JH; Hong SK; Byun SS; Jeong H; Kwak C; Kim HH; Lee E; Lee SE;
PLoS One; 2014; 9(6):e100053. PubMed ID: 24936784
[TBL] [Abstract][Full Text] [Related]
40. Evaluating the predictive accuracy and the clinical benefit of a nomogram aimed to predict survival in node-positive prostate cancer patients: External validation on a multi-institutional database.
Bianchi L; Schiavina R; Borghesi M; Bianchi FM; Briganti A; Carini M; Terrone C; Mottrie A; Gacci M; Gontero P; Imbimbo C; Marchioro G; Milanese G; Mirone V; Montorsi F; Morgia G; Novara G; Porreca A; Volpe A; Brunocilla E
Int J Urol; 2018 Jun; 25(6):574-581. PubMed ID: 29633372
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]