Non-parametric analysis of covariance for confirmatory randomized clinical trials to evaluate dose-response relationships

2001 ◽  
Vol 20 (17-18) ◽  
pp. 2585-2607 ◽  
Author(s):  
Catherine M. Tangen ◽  
Gary G. Koch
Keyword(s):  
Clinical Trials ◽  
Dose Response ◽  
Parametric Analysis ◽  
Randomized Clinical Trials ◽  
Analysis Of Covariance ◽  
Non Parametric

Non-Parametric Analysis of Covariance

Biometrics ◽  
1995 ◽  
Vol 51 (3) ◽  
pp. 920 ◽  
Author(s):  
Stuart G. Young ◽  
Adrian W. Bowman
Keyword(s):  
Parametric Analysis ◽  
Analysis Of Covariance ◽  
Non Parametric

The effect of saffron on weight and lipid profile: A systematic review, meta‐analysis, and dose–response of randomized clinical trials

2019 ◽  
Vol 33 (9) ◽  
pp. 2244-2255 ◽  
Author(s):  
Jamal Rahmani ◽  
Nicla Manzari ◽  
Jacqueline Thompson ◽  
Cain C.T. Clark ◽  
Gemma Villanueva ◽  
...  
Keyword(s):  
Systematic Review ◽  
Clinical Trials ◽  
Lipid Profile ◽  
Dose Response ◽  
Randomized Clinical Trials ◽  
Meta Analysis

Generalizing Experimental Findings

2015 ◽  
Vol 3 (2) ◽  
pp. 259-266 ◽  
Author(s):  
Judea Pearl
Keyword(s):  
Clinical Trials ◽  
General Solution ◽  
Causal Inference ◽  
Randomized Clinical Trials ◽  
Full Spectrum ◽  
Formal Treatment ◽  
Experimental Findings ◽  
The Way ◽  
Non Parametric

AbstractThis note examines one of the most crucial questions in causal inference: “How generalizable are randomized clinical trials?” The question has received a formal treatment recently, using a non-parametric setting, and has led to a simple and general solution. I will describe this solution and several of its ramifications, and compare it to the way researchers have attempted to tackle the problem using the language of ignorability. We will see that ignorability-type assumptions need to be enriched with structural assumptions in order to capture the full spectrum of conditions that permit generalizations, and in order to judge their plausibility in specific applications.

The effect of dehydroepiandrosterone (DHEA) supplementation on estradiol levels in women: a dose-response and meta-analysis of randomized clinical trials

Steroids ◽  
2021 ◽  
pp. 108889
Author(s):  
Yan Zhu ◽  
Lei Qiu ◽  
Fangfang Jiang ◽  
Mihnea-Alexandru Găman ◽  
Ohoud Saleh Abudoraehem ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Dose Response ◽  
Randomized Clinical Trials ◽  
Meta Analysis ◽  
Estradiol Levels
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