Estimating progression-free survival in patients with glioblastoma using routinely collected data

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1573-7373

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Estimating progression-free survival in patients with glioblastoma using routinely collected data ; volume:135 ; number:3 ; day:27 ; month:9 ; year:2017 ; pages:621-627 ; date:12.2017
Journal of neuro-oncology ; 135, Heft 3 (27.9.2017), 621-627, 12.2017

Classification: Medizin, Gesundheit

Creator: Kelly, Charlotte

Contributor: Majewska, Paulina
Ioannidis, Stefanos
Raza, Muhammad Hasan
Williams, Matt
SpringerLink (Online service)

DOI: 10.1007/s11060-017-2619-1

URN: urn:nbn:de:1111-20180125538

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:54 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Kelly, Charlotte
Majewska, Paulina
Ioannidis, Stefanos
Raza, Muhammad Hasan
Williams, Matt
SpringerLink (Online service)

Other Objects (12)

Reliability of routinely collected anthropometric measurements in primary care

Routinely collected data for randomized trials: promises, barriers, and implications

Reliability of Routinely Collected Hospital Data for Child Maltreatment Surveillance

Cardiovascular disease incidence rates: a study using routinely collected health data

Routinely collected patient data in neurology research: a systematic mapping review

Neonatal mortality prediction with routinely collected data: a machine learning approach

Estimating the Prevalence of Autism Spectrum Disorder in New South Wales, Australia: A Data Linkage Study of Three Routinely Collected Datasets

Data saves lives: optimising routinely collected clinical data for rare disease research

Exploiting routinely collected severe case data to monitor and predict influenza outbreaks

Real-world incidence and prevalence of low back pain using routinely collected data

Using Routinely Collected Administrative Data in Public Health Research: Geocoding Alcohol Outlet Data

Identifying incident cancer cases in routinely collected hospital data: a retrospective validation study

Reliability of routinely collected anthropometric measurements in primary care

Routinely collected data for randomized trials: promises, barriers, and implications

Reliability of Routinely Collected Hospital Data for Child Maltreatment Surveillance

Cardiovascular disease incidence rates: a study using routinely collected health data

Routinely collected patient data in neurology research: a systematic mapping review

Neonatal mortality prediction with routinely collected data: a machine learning approach

Estimating the Prevalence of Autism Spectrum Disorder in New South Wales, Australia: A Data Linkage Study of Three Routinely Collected Datasets

Data saves lives: optimising routinely collected clinical data for rare disease research

Exploiting routinely collected severe case data to monitor and predict influenza outbreaks

Real-world incidence and prevalence of low back pain using routinely collected data

Using Routinely Collected Administrative Data in Public Health Research: Geocoding Alcohol Outlet Data

Identifying incident cancer cases in routinely collected hospital data: a retrospective validation study

Reliability of routinely collected anthropometric measurements in primary care

Routinely collected data for randomized trials: promises, barriers, and implications

Reliability of Routinely Collected Hospital Data for Child Maltreatment Surveillance

Cardiovascular disease incidence rates: a study using routinely collected health data

Routinely collected patient data in neurology research: a systematic mapping review

Neonatal mortality prediction with routinely collected data: a machine learning approach

Estimating the Prevalence of Autism Spectrum Disorder in New South Wales, Australia: A Data Linkage Study of Three Routinely Collected Datasets

Data saves lives: optimising routinely collected clinical data for rare disease research

Exploiting routinely collected severe case data to monitor and predict influenza outbreaks

Real-world incidence and prevalence of low back pain using routinely collected data

Using Routinely Collected Administrative Data in Public Health Research: Geocoding Alcohol Outlet Data

Identifying incident cancer cases in routinely collected hospital data: a retrospective validation study

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Estimating progression-free survival in patients with glioblastoma using routinely collected data

Object Details

References and Relationships

Classification and Topics

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Reliability of routinely collected anthropometric measurements in primary care

Routinely collected data for randomized trials: promises, barriers, and implications

Reliability of Routinely Collected Hospital Data for Child Maltreatment Surveillance

Cardiovascular disease incidence rates: a study using routinely collected health data

Routinely collected patient data in neurology research: a systematic mapping review

Neonatal mortality prediction with routinely collected data: a machine learning approach

Estimating the Prevalence of Autism Spectrum Disorder in New South Wales, Australia: A Data Linkage Study of Three Routinely Collected Datasets

Data saves lives: optimising routinely collected clinical data for rare disease research

Exploiting routinely collected severe case data to monitor and predict influenza outbreaks

Real-world incidence and prevalence of low back pain using routinely collected data

Using Routinely Collected Administrative Data in Public Health Research: Geocoding Alcohol Outlet Data

Identifying incident cancer cases in routinely collected hospital data: a retrospective validation study

Reliability of routinely collected anthropometric measurements in primary care

Routinely collected data for randomized trials: promises, barriers, and implications

Reliability of Routinely Collected Hospital Data for Child Maltreatment Surveillance

Cardiovascular disease incidence rates: a study using routinely collected health data

Routinely collected patient data in neurology research: a systematic mapping review

Neonatal mortality prediction with routinely collected data: a machine learning approach

Estimating the Prevalence of Autism Spectrum Disorder in New South Wales, Australia: A Data Linkage Study of Three Routinely Collected Datasets

Data saves lives: optimising routinely collected clinical data for rare disease research

Exploiting routinely collected severe case data to monitor and predict influenza outbreaks

Real-world incidence and prevalence of low back pain using routinely collected data

Using Routinely Collected Administrative Data in Public Health Research: Geocoding Alcohol Outlet Data

Identifying incident cancer cases in routinely collected hospital data: a retrospective validation study

Reliability of routinely collected anthropometric measurements in primary care

Routinely collected data for randomized trials: promises, barriers, and implications

Reliability of Routinely Collected Hospital Data for Child Maltreatment Surveillance

Cardiovascular disease incidence rates: a study using routinely collected health data

Routinely collected patient data in neurology research: a systematic mapping review

Neonatal mortality prediction with routinely collected data: a machine learning approach

Estimating the Prevalence of Autism Spectrum Disorder in New South Wales, Australia: A Data Linkage Study of Three Routinely Collected Datasets

Data saves lives: optimising routinely collected clinical data for rare disease research

Exploiting routinely collected severe case data to monitor and predict influenza outbreaks

Real-world incidence and prevalence of low back pain using routinely collected data

Using Routinely Collected Administrative Data in Public Health Research: Geocoding Alcohol Outlet Data

Identifying incident cancer cases in routinely collected hospital data: a retrospective validation study

Related objects

Reset password