Clinical tool for predicting survival in ALS: do we need one?

A statistical model using data from a population registry may aid the estimation of survival in individual patients.

Bibliographic Details
Main Author: Talbot, K
Format: Journal article
Language:English
Published: BMJ Publishing Group 2016
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author Talbot, K
author_facet Talbot, K
author_sort Talbot, K
collection OXFORD
description A statistical model using data from a population registry may aid the estimation of survival in individual patients.
first_indexed 2024-03-07T01:14:48Z
format Journal article
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institution University of Oxford
language English
last_indexed 2024-03-07T01:14:48Z
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spelling oxford-uuid:8e4b165b-52cf-49d8-83e8-2cbf590940632022-03-26T22:56:38ZClinical tool for predicting survival in ALS: do we need one?Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:8e4b165b-52cf-49d8-83e8-2cbf59094063EnglishSymplectic Elements at OxfordBMJ Publishing Group2016Talbot, KA statistical model using data from a population registry may aid the estimation of survival in individual patients.
spellingShingle Talbot, K
Clinical tool for predicting survival in ALS: do we need one?
title Clinical tool for predicting survival in ALS: do we need one?
title_full Clinical tool for predicting survival in ALS: do we need one?
title_fullStr Clinical tool for predicting survival in ALS: do we need one?
title_full_unstemmed Clinical tool for predicting survival in ALS: do we need one?
title_short Clinical tool for predicting survival in ALS: do we need one?
title_sort clinical tool for predicting survival in als do we need one
work_keys_str_mv AT talbotk clinicaltoolforpredictingsurvivalinalsdoweneedone