[HTML][HTML] A non-linear optimisation method to extract summary statistics from Kaplan-Meier survival plots using the published P value
Background Meta-analyses of studies evaluating survival (time-to-event) outcomes are a
powerful technique to assess the strength of evidence for a given disease or treatment …
powerful technique to assess the strength of evidence for a given disease or treatment …
[引用][C] A non-linear optimisation method to extract summary statistics from Kaplan-Meier survival plots using the published P value
A Irvine, S Waise, E Green… - BMC Medical Research …, 2020 - eprints.soton.ac.uk
A non-linear optimisation method to extract summary statistics from Kaplan-Meier survival plots
using the published P value - ePrints Soton The University of Southampton Courses University …
using the published P value - ePrints Soton The University of Southampton Courses University …
[引用][C] A non-linear optimisation method to extract summary statistics from Kaplan-Meier survival plots using the published P value
AF Irvine, S Waise, EW Green… - BMC Medical Research …, 2020 - jglobal.jst.go.jp
A non-linear optimisation method to extract summary statistics from Kaplan-Meier survival
plots using the published P value | Article Information | J-GLOBAL Art J-GLOBAL ID:202102256321316056 …
plots using the published P value | Article Information | J-GLOBAL Art J-GLOBAL ID:202102256321316056 …
A non-linear optimisation method to extract summary statistics from Kaplan-Meier survival plots using the published P value
AF Irvine, S Waise, EW Green, B Stuart - BMC Medical Research …, 2020 - go.gale.com
Background Meta-analyses of studies evaluating survival (time-to-event) outcomes are a
powerful technique to assess the strength of evidence for a given disease or treatment …
powerful technique to assess the strength of evidence for a given disease or treatment …
A non-linear optimisation method to extract summary statistics from Kaplan-Meier survival plots using the published P value.
AF Irvine, S Waise, EW Green… - BMC Medical Research …, 2020 - europepmc.org
Background Meta-analyses of studies evaluating survival (time-to-event) outcomes are a
powerful technique to assess the strength of evidence for a given disease or treatment …
powerful technique to assess the strength of evidence for a given disease or treatment …
[HTML][HTML] A non-linear optimisation method to extract summary statistics from Kaplan-Meier survival plots using the published P value
AF Irvine, S Waise, EW Green… - BMC Medical …, 2020 - bmcmedresmethodol.biomedcentral …
Meta-analyses of studies evaluating survival (time-to-event) outcomes are a powerful
technique to assess the strength of evidence for a given disease or treatment. However …
technique to assess the strength of evidence for a given disease or treatment. However …
[PDF][PDF] A non-linear optimisation method to extract summary statistics from Kaplan-Meier survival plots using the published P value
AF Irvine, S Waise, EW Green, B Stuart - 2020 - scholar.archive.org
Background: Meta-analyses of studies evaluating survival (time-to-event) outcomes are a
powerful technique to assess the strength of evidence for a given disease or treatment …
powerful technique to assess the strength of evidence for a given disease or treatment …
[HTML][HTML] A non-linear optimisation method to extract summary statistics from Kaplan-Meier survival plots using the published P value
AF Irvine, S Waise, EW Green… - BMC Medical Research …, 2020 - ncbi.nlm.nih.gov
Background Meta-analyses of studies evaluating survival (time-to-event) outcomes are a
powerful technique to assess the strength of evidence for a given disease or treatment …
powerful technique to assess the strength of evidence for a given disease or treatment …
A non-linear optimisation method to extract summary statistics from Kaplan-Meier survival plots using the published P value
AF Irvine, S Waise, EW Green… - BMC Medical Research …, 2020 - search.proquest.com
Background Meta-analyses of studies evaluating survival (time-to-event) outcomes are a
powerful technique to assess the strength of evidence for a given disease or treatment …
powerful technique to assess the strength of evidence for a given disease or treatment …
A non-linear optimisation method to extract summary statistics from Kaplan-Meier survival plots using the published P value
AF Irvine, S Waise, EW Green… - BMC medical research …, 2020 - pubmed.ncbi.nlm.nih.gov
Background Meta-analyses of studies evaluating survival (time-to-event) outcomes are a
powerful technique to assess the strength of evidence for a given disease or treatment …
powerful technique to assess the strength of evidence for a given disease or treatment …