Non-parametric Maximum Likelihood Estimation for Case-Cohort and Nested Case-Control Designs with Competing Risks Data

2020 ◽  
pp. 381-410
Author(s):  
Jie-Huei Wang ◽  
Chun-Hao Pan ◽  
Yi-Hau Chen ◽  
I-Shou Chang
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Competing Risks ◽  
Likelihood Estimation ◽  
Case Control ◽  
Competing Risks Data ◽  
Nested Case Control ◽  
Control Designs ◽  
Non Parametric

Non-parametric Maximum-Likelihood Estimation in a Semiparametric Mixture Model for Competing-Risks Data

2007 ◽  
Vol 0 (0) ◽  
pp. 070730063002002-???
Author(s):  
I-SHOU CHANG ◽  
CHAO A. HSIUNG ◽  
CHI-CHUNG WEN ◽  
YUH-JENN WU ◽  
CHE-CHI YANG
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Mixture Model ◽  
Competing Risks ◽  
Likelihood Estimation ◽  
Competing Risks Data ◽  
Semiparametric Mixture ◽  
Non Parametric

scholarly journals The causal effect and impact of reproductive factors on breast cancer using super learner and targeted maximum likelihood estimation: a case-control study in Fars Province, Iran

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Amir Almasi-Hashiani ◽  
Saharnaz Nedjat ◽  
Reza Ghiasvand ◽  
Saeid Safiri ◽  
Maryam Nazemipour ◽  
...  
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Case Control Study ◽  
Causal Effect ◽  
Reproductive Factors ◽  
Likelihood Estimation ◽  
Case Control ◽  
Targeted Maximum Likelihood Estimation ◽  
Targeted Maximum Likelihood ◽  
Control Study

Abstract Objectives The relationship between reproductive factors and breast cancer (BC) risk has been investigated in previous studies. Considering the discrepancies in the results, the aim of this study was to estimate the causal effect of reproductive factors on BC risk in a case-control study using the double robust approach of targeted maximum likelihood estimation. Methods This is a causal reanalysis of a case-control study done between 2005 and 2008 in Shiraz, Iran, in which 787 confirmed BC cases and 928 controls were enrolled. Targeted maximum likelihood estimation along with super Learner were used to analyze the data, and risk ratio (RR), risk difference (RD), andpopulation attributable fraction (PAF) were reported. Results Our findings did not support parity and age at the first pregnancy as risk factors for BC. The risk of BC was higher among postmenopausal women (RR = 3.3, 95% confidence interval (CI) = (2.3, 4.6)), women with the age at first marriage ≥20 years (RR = 1.6, 95% CI = (1.3, 2.1)), and the history of oral contraceptive (OC) use (RR = 1.6, 95% CI = (1.3, 2.1)) or breastfeeding duration ≤60 months (RR = 1.8, 95% CI = (1.3, 2.5)). The PAF for menopause status, breastfeeding duration, and OC use were 40.3% (95% CI = 39.5, 40.6), 27.3% (95% CI = 23.1, 30.8) and 24.4% (95% CI = 10.5, 35.5), respectively. Conclusions Postmenopausal women, and women with a higher age at first marriage, shorter duration of breastfeeding, and history of OC use are at the higher risk of BC.

Maximum Likelihood Estimation of the Non-Parametric FRF for Pulse-Like Excitations

2016 ◽  
Vol 61 (8) ◽  
pp. 2276-2281 ◽  
Author(s):  
Roland Hostettler ◽  
Wolfgang Birk ◽  
Magnus Lundberg Nordenvaad
Keyword(s):  
Maximum Likelihood ◽  
Maximum Likelihood Estimation ◽  
Likelihood Estimation ◽  
Non Parametric
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