Regression analysis of grouped survival data with application to breast cancer data.
about
Duration of lactation and incidence of the metabolic syndrome in women of reproductive age according to gestational diabetes mellitus status: a 20-Year prospective study in CARDIA (Coronary Artery Risk Development in Young Adults)Oxidative stress and severe walking disability among older womenThe applied value of public investments in biomedical researchComparing several score tests for interval censored data.Estimating AIDS incidence and jack-knife variance from a continuous delay distribution and incomplete data.Applying the Cox proportional hazards model for analysis of latency data with interval censoring.A proportional hazards model for multivariate interval-censored failure time data.Tests of proportional hazards and proportional odds models for grouped survival data.Joint modeling of longitudinal data and discrete-time survival outcome.Missing data and censoring in the analysis of progression-free survival in oncology clinical trials.Bayesian models for multivariate current status data with informative censoring.Additive hazards regression and partial likelihood estimation for ecological monitoring data across spaceParathyroid hormone and the risk of incident hypertension: the Atherosclerosis Risk in Communities studyProportional exponentiated link transformed hazards (ELTH) models for discrete time survival data with applicationBayesian analysis of clustered interval-censored data.The fitting of general force-of-infection models to wildlife disease prevalence data.Mapping of a quantitative trait locus for resistance against infectious salmon anaemia in Atlantic salmon (Salmo salar): comparing survival analysis with analysis on affected/resistant data.Modeling clustered, discrete, or grouped time survival data with covariates.Weighted likelihood method for grouped survival data in case-cohort studies with application to HIV vaccine trials.A comparative evaluation of adverse platelet outcomes among Veterans' Affairs patients receiving linezolid or vancomycin.Estimating the personal cure rate of cancer patients using population-based grouped cancer survival data.Heritability of longevity in Large White and Landrace sows using continuous time and grouped data modelsFunctional decline and recovery of activities of daily living in hospitalized, disabled older women: the Women's Health and Aging Study IChildbearing is associated with higher incidence of the metabolic syndrome among women of reproductive age controlling for measurements before pregnancy: the CARDIA study.Effect of delayed-release dimethyl fumarate on no evidence of disease activity in relapsing-remitting multiple sclerosis: integrated analysis of the phase III DEFINE and CONFIRM studies.Modeling transition rates using panel current-status data: how serious is the bias?Depressive symptoms predict incident cognitive impairment in cognitive healthy older womenFactors associated with closures of emergency departments in the United States.Carcass conformation and fat cover scores in beef cattle: a comparison of threshold linear models vs grouped data models.Structural estimates of treatment effects on outcomes using retrospective data: an application to ductal carcinoma in situ.Comparative analysis of various prognostic nodal factors, adjuvant chemotherapy and survival among stage III colon cancer patients over 65 years: an analysis using surveillance, epidemiology and end results (SEER)-Medicare data.Prevalence and incidence of diabetes in Stockholm County 1990-2010.Evaluation of the effect of systolic blood pressure and pulse pressure on cognitive function: the Women's Health and Aging Study II.The log-Burr XII regression model for grouped survival data.Modelling population-based cancer survival trends using join point models for grouped survival data.Relative androgen excess during the menopausal transition predicts incident metabolic syndrome in midlife women: study of Women's Health Across the Nation.A 20-year prospective study of childbearing and incidence of diabetes in young women, controlling for glycemia before conception: the Coronary Artery Risk Development in Young Adults (CARDIA) Study.Randomised study of effect of different doses of vitamin A on childhood morbidity and mortality.The impact of health changes on labor supply: evidence from merged data on individual objective medical diagnosis codes and early retirement behavior.Clinical Trials Express: fracture risk reduction with denosumab in Japanese postmenopausal women and men with osteoporosis: denosumab fracture intervention randomized placebo controlled trial (DIRECT)
P2860
Q24642222-4DB1E480-1089-4A0E-8C4B-C0C9A5A9F9DAQ28260066-B0570BDB-8553-4727-8D77-00B3EDC8ECA7Q30011596-52A6D58D-EFD9-4097-A1ED-EEC3EE199F08Q30559355-73992CF1-A825-4081-904D-680472371A59Q30573363-490969E7-06D3-462F-B9CD-0A8C1168B83BQ30582704-67B9DF47-38A6-44D8-AB7C-5D5CFEC2702BQ30612541-B756BF2B-F7C0-40AF-81D5-1BE84E1EA30AQ30621322-490AB09A-B1E0-458A-91FF-BB372937CF3DQ30633031-F4DDE48B-7447-4FE1-8266-8E5190B56B2DQ30662279-D15C5809-2022-40CD-9BEF-4A5E06091F15Q30679013-65E76F50-18E7-46E8-8A0B-268BF0E13BB4Q30711266-B0CDC156-127B-4FF3-8198-EAF572DDA115Q30712645-32927159-E4BE-4F57-AACA-62F72950CC44Q30910251-1B610A4D-BCD2-4CAD-A431-6129431B4EF3Q31000734-0735E9B7-DED4-4AF5-8D03-3AD64B77A99EQ31061937-9ECA6242-2E37-46B2-A2AD-400072C628B1Q31121731-F7F4707E-EB4D-436A-BEE1-44E22EB66781Q31906957-79627C1F-1B51-4FC7-8D8A-6D0D6AF15E6AQ33386994-90D97D37-4796-43CF-9916-93C0E424EA76Q33398776-C2D5696A-ED5A-49E8-8858-D7A91FAD7387Q33534120-04B16A62-98B5-48B3-A6E3-62757018E295Q33577396-FE78389D-E0D4-4B78-88D8-8BB9BEFE014EQ33586978-5EEBA3E6-C4D8-4FA4-A623-3A80A4943F19Q33595899-A5619F4D-E298-45E4-99E2-D6011A2A185FQ33628626-E45CF782-2ACD-470F-AE67-778ECBAD19F3Q33699890-5D097DE1-CC03-44E7-AC04-5E8FDF766035Q33726031-3857E1F8-0FAD-47B5-A45B-7B9BB8C8E0BCQ33778093-A0A68A24-BCCF-4049-9FA5-95A8505D5CE0Q33899307-D6C805B9-3AE5-462E-9E48-2C07A8427E75Q33907988-3F46001B-DB49-4040-B3B9-DE7256233ADBQ33937296-7A61553A-E874-4B4A-BB9B-6E9D39AAD4D4Q34047527-C77F5E56-612C-4E3F-8C2C-E04A16594CD2Q34102926-80CCC73C-346B-46E3-A85B-09036D4F54DEQ34113065-73FD6667-6812-429C-8AFF-A2EBBD8FFE7CQ34115306-C4594F01-A4CB-45D2-9CA4-46D501E8F46FQ34175422-BE6C7B7B-256B-4823-8A08-4DE85F3DBA46Q34187494-8CE0169B-7B49-49EE-8E91-200ABFFA2E1EQ34227569-B73C7849-CF87-4312-9B05-78D737B5E527Q34255690-CFC75742-1750-4C33-ABD9-4A96F5F8F1A7Q34313665-542AB698-CAD3-423B-8177-A58A913976D4
P2860
Regression analysis of grouped survival data with application to breast cancer data.
description
1978 nî lūn-bûn
@nan
1978年の論文
@ja
1978年論文
@yue
1978年論文
@zh-hant
1978年論文
@zh-hk
1978年論文
@zh-mo
1978年論文
@zh-tw
1978年论文
@wuu
1978年论文
@zh
1978年论文
@zh-cn
name
Regression analysis of grouped survival data with application to breast cancer data.
@ast
Regression analysis of grouped survival data with application to breast cancer data.
@en
type
label
Regression analysis of grouped survival data with application to breast cancer data.
@ast
Regression analysis of grouped survival data with application to breast cancer data.
@en
prefLabel
Regression analysis of grouped survival data with application to breast cancer data.
@ast
Regression analysis of grouped survival data with application to breast cancer data.
@en
P356
P1433
P1476
Regression analysis of grouped survival data with application to breast cancer data.
@en
P2093
Gloeckler LA
Prentice RL
P356
10.2307/2529588
P407
P577
1978-03-01T00:00:00Z