Artículo: AMZ-1439872864

Joint Models for Longitudinal and Time-to-Event Data (Chapman & Hall/CRC Biostatistics Series)

Format:

Hardcover

Hardcover

Kindle

Detalles del producto
Disponibilidad
En stock
Peso con empaque
0.62 kg
Devolución
No
Condición
Nuevo
Producto de
Amazon
Viaja desde
USA

Sobre este producto
  • In longitudinal studies it is often of interest to investigate how a marker that is repeatedly measured in time is associated with a time to an event of interest, e.g., prostate cancer studies where longitudinal PSA level measurements are collected in conjunction with the time-to-recurrence. Joint Models for Longitudinal and Time-to-Event Data: With Applications in R provides a full treatment of random effects joint models for longitudinal and time-to-event outcomes that can be utilized to analyze such data. The content is primarily explanatory, focusing on applications of joint modeling, but sufficient mathematical details are provided to facilitate understanding of the key features of these models. All illustrations put forward can be implemented in the R programming language via the freely available package JM written by the author. All the R code used in the book is available at: http://jmr.r-forge.r-project.org/
$280,88
44% OFF
$156,04

IMPORT EASILY

By purchasing this product you can deduct VAT with your RUT number

$280,88
44% OFF
$156,04

20% OFF adicional al pagar con Deuna

Envío gratis
Llega en 26 o más días hábiles
Con envío
Tienes garantia de entrega
Este producto viaja de USA a tus manos en

Conoce más detalles

Used Book in Good Condition