The current duration design for estimating the time to pregnancy distribution: a nonparametric Bayesian perspective

Dario Gasbarra, Elja Arjas, Aki Vehtari, Remy Slama, Niels Keiding

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4 Citations (Scopus)

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@article{d745ba21ad68488e9b2299541cb09947,

title = "The current duration design for estimating the time to pregnancy distribution: a nonparametric Bayesian perspective",

author = "Dario Gasbarra and Elja Arjas and Aki Vehtari and Remy Slama and Niels Keiding",

note = "VK: Vehtari, A.",

year = "2015",

doi = "10.1007/s10985-015-9333-0",

language = "English",

volume = "21",

pages = "594--625",

journal = "Lifetime Data Analysis",

issn = "1380-7870",

publisher = "Springer",

number = "4",

}

TY - JOUR

T1 - The current duration design for estimating the time to pregnancy distribution: a nonparametric Bayesian perspective

AU - Gasbarra, Dario

AU - Arjas, Elja

AU - Vehtari, Aki

AU - Slama, Remy

AU - Keiding, Niels

N1 - VK: Vehtari, A.

PY - 2015

Y1 - 2015

U2 - 10.1007/s10985-015-9333-0

DO - 10.1007/s10985-015-9333-0

M3 - Article

SN - 1380-7870

VL - 21

SP - 594

EP - 625

JO - Lifetime Data Analysis

JF - Lifetime Data Analysis

IS - 4

ER -