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Estimation of Information Fraction with Fleming- Harrington type weighted  log-rank test in clinical trials with interim look Madan G Kundu, PhD  AbbVie. - ppt download
Estimation of Information Fraction with Fleming- Harrington type weighted log-rank test in clinical trials with interim look Madan G Kundu, PhD AbbVie. - ppt download

Non-proportional hazards in immuno-oncology: is an old perspective needed?  | DeepAI
Non-proportional hazards in immuno-oncology: is an old perspective needed? | DeepAI

The weight functions used in the Fleming-Harrington's G ρ,τ class. |  Download Scientific Diagram
The weight functions used in the Fleming-Harrington's G ρ,τ class. | Download Scientific Diagram

Lecture 10: Hypothesis Testing II Weight Functions Trend Tests. - ppt  download
Lecture 10: Hypothesis Testing II Weight Functions Trend Tests. - ppt download

nphRCT} on CRAN | Dominic Magirr
nphRCT} on CRAN | Dominic Magirr

nphRCT} on CRAN | Dominic Magirr
nphRCT} on CRAN | Dominic Magirr

Specifiyng weights in Log-rank comparisons
Specifiyng weights in Log-rank comparisons

More examples and recipes — lifelines 0.27.4 documentation
More examples and recipes — lifelines 0.27.4 documentation

STATISTICAL POWER OF AN ALTERNATIVE TEST FOR COMPARISON OF SURVIVAL  DISTRIBUTIONS WITH CROSSED SURVIVAL CURVES IN THE PRESENCE O
STATISTICAL POWER OF AN ALTERNATIVE TEST FOR COMPARISON OF SURVIVAL DISTRIBUTIONS WITH CROSSED SURVIVAL CURVES IN THE PRESENCE O

On information fraction for Fleming‐Harrington type weighted log‐rank tests  in a group‐sequential clinical trial design - Kundu - 2021 - Statistics in  Medicine - Wiley Online Library
On information fraction for Fleming‐Harrington type weighted log‐rank tests in a group‐sequential clinical trial design - Kundu - 2021 - Statistics in Medicine - Wiley Online Library

Combination Weighted Log-rank Tests for Survival Analysis with  Non-proportional Hazards
Combination Weighted Log-rank Tests for Survival Analysis with Non-proportional Hazards

A comparison of the constant piecewise weighted logrank and Fleming-Harrington  tests
A comparison of the constant piecewise weighted logrank and Fleming-Harrington tests

Cancer patient survival can be parametrized to improve trial precision and  reveal time-dependent therapeutic effects | Nature Communications
Cancer patient survival can be parametrized to improve trial precision and reveal time-dependent therapeutic effects | Nature Communications

The weight functions used in the Fleming-Harrington's G ρ,τ class. |  Download Scientific Diagram
The weight functions used in the Fleming-Harrington's G ρ,τ class. | Download Scientific Diagram

Regression Modeling Strategies - 20 Cox Proportional Hazards Regression  Model
Regression Modeling Strategies - 20 Cox Proportional Hazards Regression Model

On the Fleming–Harrington test for late effects in prevention randomized  controlled trials
On the Fleming–Harrington test for late effects in prevention randomized controlled trials

Estimation of treatment effects in weighted log-rank tests - ScienceDirect
Estimation of treatment effects in weighted log-rank tests - ScienceDirect

Combination Weighted Log-rank Tests for Survival Analysis with  Non-proportional Hazards
Combination Weighted Log-rank Tests for Survival Analysis with Non-proportional Hazards

SESSION 2: WEIGHTED LOG RANK TESTS
SESSION 2: WEIGHTED LOG RANK TESTS

A simulation study comparing the power of nine tests of the treatment  effect in randomized controlled trials with a time-to-event outcome |  Trials | Full Text
A simulation study comparing the power of nine tests of the treatment effect in randomized controlled trials with a time-to-event outcome | Trials | Full Text

A class of hypothesis tests for one and two sample censored survival data |  Semantic Scholar
A class of hypothesis tests for one and two sample censored survival data | Semantic Scholar

CIMAvax<sup>®</sup>EGF vaccine therapy for non-small cell lung cancer: A  weighted log-rank tests-based evaluation
CIMAvax<sup>®</sup>EGF vaccine therapy for non-small cell lung cancer: A weighted log-rank tests-based evaluation