@article{secord_havrilesky_bae-jump_chin_calingaert_bland_rutledge_berchuck_clarke-pearson_gehrig_2007, title={The role of multi-modality adjuvant chemotherapy and radiation in women with advanced stage endometrial cancer}, volume={107}, ISSN={["0090-8258"]}, DOI={10.1016/j.ygyno.2007.06.014}, abstractNote={: The optimal adjuvant therapy for women with stages III and IV endometrial cancer following surgical staging and cytoreductive surgery is controversial. We sought to determine the outcome of patients with advanced stage endometrial cancer treated with postoperative chemotherapy+/-radiation to determine whether there was an advantage to combining treatment modalities.: A retrospective analysis of patients with surgical stages III and IV endometrial cancer from 1975 to 2006 was conducted at Duke University and the University of North Carolina. Inclusion criteria were comprehensive staging procedure including hysterectomy, bilateral salpingo-oophorectomy, +/-selective pelvic/aortic lymphadenectomy, surgical debulking, and treatment with adjuvant chemotherapy and/or radiotherapy. Progression-free (PFS) and overall survival (OS) were analyzed using Kaplan-Meier method and Cox proportional hazards model.: 356 Patients with advanced stage endometrial cancer were identified who received postoperative adjuvant therapies; 48% (n=171) radiotherapy alone, 29% (n=102) chemotherapy alone, 23% (n=83) chemotherapy and radiation. The median age was 66 years; 38% had endometrioid tumors; and 83% were optimally debulked. There was a significant difference between the adjuvant treatment groups for both OS and PFS (p<0.001), with those receiving chemotherapy alone having poorer 3-year OS (33%) and PFS (19%) compared to either radiotherapy alone (70% and 59%) or combination therapy (79% and 62%). After adjusting for stage, age, grade, and debulking status the hazard ratio (HR) for OS was 1.60 (95% CI, 0.88 to 2.89; p=0.122) for chemotherapy alone and 2.01 (95% CI, 1.17 to 3.48; p=0.012) for radiotherapy alone, compared to combination therapy. When the analysis was restricted to optimally debulked patients the adjusted HR for patients who were treated with either chemotherapy or radiation alone indicated a significantly higher risk for disease progression [HR=1.84 (95% CI, 1.03 to 3.27; p=0.038); HR=1.80 (95% CI, 1.10 to 2.95; p=0.020)] and death [HR=2.33 (95% CI, 1.12 to 4.86; p=0.024); HR=2.64 (95% CI, 1.38 to 5.07; p=0.004)], respectively, compared to patients who received combination therapy.: Combined adjuvant chemotherapy and radiation was associated with improved survival in patients with advanced stage disease compared to either modality alone. Future clinical trials are needed to prospectively evaluate multi-modality adjuvant therapy in women with advanced staged endometrial cancer to determine the appropriate sequencing and types of chemotherapy and radiation.}, number={2}, journal={GYNECOLOGIC ONCOLOGY}, author={Secord, Angeles Alvarez and Havrilesky, Laura J. and Bae-Jump, Victoria and Chin, Jeanette and Calingaert, Brian and Bland, Amy and Rutledge, Teresa L. and Berchuck, Andrew and Clarke-Pearson, Daniel L. and Gehrig, Paola A.}, year={2007}, month={Nov}, pages={285–291} }
 @article{pollock_hoenig_hearn_calingaert_2002, title={Tag reporting rate estimation: 2. Use of high-reward tagging and observers in multiple-component fisheries}, volume={22}, ISSN={["1548-8675"]}, DOI={10.1577/1548-8675(2002)022<0727:TRREUO>2.0.CO;2}, abstractNote={Abstract Tag return models can be used to estimate survival and tag recovery rates. The additional knowledge of an estimated tag reporting rate allows separation of the total mortality rate into fishing and natural mortality components. We briefly review two methods for estimating tag reporting rates: high-reward tags with a 100% reporting rate, and catch from multiple-component fisheries with a 100% reporting rate in one component (e.g., due to the presence of observers in a boat-based commercial fishery). The assumptions of each method are presented and discussed. We simulated the effects of combining the two methods to obtain more robust estimates of the tag reporting rate and other important parameters, such as the exploitation rate. When high-reward tags did not produce a 100% reporting rate or when the observer component in a multiple-component fishery did not have a 100% reporting rate, the combination of methods provided better estimates. It is still necessary to assume that the high-reward tags i...}, number={3}, journal={NORTH AMERICAN JOURNAL OF FISHERIES MANAGEMENT}, author={Pollock, KH and Hoenig, JM and Hearn, WS and Calingaert, B}, year={2002}, month={Aug}, pages={727–736} }
 @article{pollock_hoenig_hearn_calingaert_2001, title={Tag reporting rate estimation: 1. An evaluation of the high-reward tagging method}, volume={21}, ISSN={["1548-8675"]}, DOI={10.1577/1548-8675(2001)021<0521:TRREAE>2.0.CO;2}, abstractNote={Abstract Tag-return models can be used to estimate survival rates and tag recovery rates. The additional knowledge of an estimated tag reporting rate allows one to separate total mortality into fishing and natural mortality rates. This paper examines the use of high-reward tags in tagging studies. We find that many of the problems encountered in tagging studies can be avoided if tagged animals are released in small batches in as many locations as possible rather than in large batches at a few locations. Often, the use of substantial monetary rewards for the return of standard tags may be justified as cost effective because of the higher tag return rates they induce. The high-reward tagging method is an important method for estimating the tag reporting rate for standard tags. For this method it is assumed that high-reward tags are reported 100% of the time. This assumption is investigated. Other assumptions of the method are also considered, and particular attention is paid to whether the reporting rate of...}, number={3}, journal={NORTH AMERICAN JOURNAL OF FISHERIES MANAGEMENT}, author={Pollock, KH and Hoenig, JM and Hearn, WS and Calingaert, B}, year={2001}, month={Aug}, pages={521–532} }