Kontakt
Jak kupować
Dostawa
Doradca ds. zakupów
Likelihood Method for Randomized Time-to-Event Studies with All-or-None Compliance
Causal Inference in Survival analysis
Angielski
114 b
Nawet do 30 dni na zwrot
Klienci kupili także
/
Miękka
203.14
zł
/
Miękka
86.34
zł
/
Miękka
123.20
zł
/
Miękka
93.17
zł
/
Miękka
84.82
zł
/
Miękka
103.45
zł
/
Miękka
248.86
zł
Research Paper (postgraduate) from the year 2009 in the subject Statistics, grade: A, University of Canterbury (Department of Mathematics and Statistics), course: Statistics, language: English, abstract: Estimating causal effects in clinical trials often suffers from treatment non-compliance and missing outcomes. In time-to-event studies, it is more complicated because of censoring, the mechanism of which may be non-ignorable. While new estimators have recently been proposed to account for non-compliance and missing outcomes, few papers have specifically considered time-to-event outcomes, where even the intention-to-treat (ITT) estimator is potentially biased for estimating causal effects of assigned treatment. In this paper we develop a likelihood based method for randomized clinical trials (RCTs) with non-compliance for time-to-event data and adapt the EM algorithm according to derive the maximum likelihood estimators (MLEs). In addition, we give formulations of the average causal effect (ACE) and compliers average causal effect (CACE) to suit survival analysis. To illustrate the likelihood-based method (EM algorithm), a breast cancer trial data was re-analysed using a model, which assumes that the failure times and censored times both follow Weibull and Lognormal distributions, respectively (termed the NIGN-WW model and NIGN-LL model).
Informacje o książce
Angielski
Kategoria
Podaruj tę książkę jeszcze dziś
To łatwe
1 Dodaj książkę do koszyka i wybierz „dostarczyć jako prezent” 2 W odpowiedzi wyślemy Ci bon 3 Książka dotrze na adres obdarowanegoMogłoby Cię także zainteresować
/
Miękka
56.20
zł
/
Miękka
59.87
zł
/
Miękka
83.19
zł
/
Miękka
66.69
zł
Cześć! Jestem Libroamiko, Twój doradca książkowy.
Jak mogę Ci pomóc?