Lifetime Data Anal - Regression analysis of multivariate recurrent event data with a dependent terminal event.

Tópicos

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{ studi(1410) differ(1259) use(1210) }
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{ take(945) account(800) differ(722) }
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{ first(2504) two(1366) second(1323) }
{ intervent(3218) particip(2042) group(1664) }
{ activ(1138) subject(705) human(624) }
{ time(1939) patient(1703) rate(768) }
{ patient(1821) servic(1111) care(1106) }
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{ can(981) present(881) function(850) }
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{ structur(1116) can(940) graph(676) }
{ high(1669) rate(1365) level(1280) }
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{ drug(1928) target(777) effect(648) }
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{ survey(1388) particip(1329) question(1065) }
{ decis(3086) make(1611) patient(1517) }
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{ detect(2391) sensit(1101) algorithm(908) }

Resumo

Recurrent event data occur in many clinical and observational studies (Cook and Lawless, Analysis of recurrent event data, 2007) and in these situations, there may exist a terminal event such as death that is related to the recurrent event of interest (Ghosh and Lin, Biometrics 56:554-562, 2000; Wang et al., J Am Stat Assoc 96:1057-1065, 2001; Huang and Wang, J Am Stat Assoc 99:1153-1165, 2004; Ye et al., Biometrics 63:78-87, 2007). In addition, sometimes there may exist more than one type of recurrent events, that is, one faces multivariate recurrent event data with some dependent terminal event (Chen and Cook, Biostatistics 5:129-143, 2004). It is apparent that for the analysis of such data, one has to take into account the dependence both among different types of recurrent events and between the recurrent and terminal events. In this paper, we propose a joint modeling approach for regression analysis of the data and both finite and asymptotic properties of the resulting estimates of unknown parameters are established. The methodology is applied to a set of bivariate recurrent event data arising from a study of leukemia patients.

Resumo Limpo

recurr event data occur mani clinic observ studi cook lawless analysi recurr event data situat may exist termin event death relat recurr event interest ghosh lin biometr wang et al j stat assoc huang wang j stat assoc ye et al biometr addit sometim may exist one type recurr event one face multivari recurr event data depend termin event chen cook biostatist appar analysi data one take account depend among differ type recurr event recurr termin event paper propos joint model approach regress analysi data finit asymptot properti result estim unknown paramet establish methodolog appli set bivari recurr event data aris studi leukemia patient

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