A unified partial likelihood approach for X-chromosome association on time-to-event outcomes

2017 ◽  
Vol 42 (1) ◽  
pp. 80-94 ◽  
Author(s):  
Wei Xu ◽  
Meiling Hao
Keyword(s):  
X Chromosome ◽  
Chromosome Association ◽  
Partial Likelihood ◽  
Time To Event ◽  
Likelihood Approach

scholarly journals Mitigation of biases in estimating hazard ratios under non-sensitive and non-specific observation of outcomes–applications to influenza vaccine effectiveness

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Ulrike Baum ◽  
Sangita Kulathinal ◽  
Kari Auranen
Keyword(s):  
False Positive ◽  
False Positive Rate ◽  
Vaccine Effectiveness ◽  
Partial Likelihood ◽  
Event Data ◽  
Time To Event ◽  
Positive Events ◽  
Time To Event Data ◽  
Hazard Ratios ◽  
Positive Rate

Abstract Background Non-sensitive and non-specific observation of outcomes in time-to-event data affects event counts as well as the risk sets, thus, biasing the estimation of hazard ratios. We investigate how imperfect observation of incident events affects the estimation of vaccine effectiveness based on hazard ratios. Methods Imperfect time-to-event data contain two classes of events: a portion of the true events of interest; and false-positive events mistakenly recorded as events of interest. We develop an estimation method utilising a weighted partial likelihood and probabilistic deletion of false-positive events and assuming the sensitivity and the false-positive rate are known. The performance of the method is evaluated using simulated and Finnish register data. Results The novel method enables unbiased semiparametric estimation of hazard ratios from imperfect time-to-event data. False-positive rates that are small can be approximated to be zero without inducing bias. The method is robust to misspecification of the sensitivity as long as the ratio of the sensitivity in the vaccinated and the unvaccinated is specified correctly and the cumulative risk of the true event is small. Conclusions The weighted partial likelihood can be used to adjust for outcome measurement errors in the estimation of hazard ratios and effectiveness but requires specifying the sensitivity and the false-positive rate. In absence of exact information about these parameters, the method works as a tool for assessing the potential magnitude of bias given a range of likely parameter values.

scholarly journals The sex chromosome association (Sxa) gene is located on the X-chromosome in mice.

1990 ◽  
Vol 65 (2) ◽  
pp. 65-69 ◽  
Author(s):  
Hirotami T. IMAI ◽  
Masayasu Y. WADA ◽  
Kazuo MORIWAKI
Keyword(s):  
X Chromosome ◽  
Sex Chromosome ◽  
Chromosome Association

scholarly journals Correction: Quantitative Genetics of CTCF Binding Reveal Local Sequence Effects and Different Modes of X-Chromosome Association

PLoS Genetics ◽  
2015 ◽  
Vol 11 (4) ◽  
pp. e1005177
Author(s):  
Zhihao Ding ◽  
Yunyun Ni ◽  
Sander W. Timmer ◽  
Bum-Kyu Lee ◽  
Anna Battenhouse ◽  
...  
Keyword(s):  
X Chromosome ◽  
Quantitative Genetics ◽  
Chromosome Association ◽  
Ctcf Binding ◽  
Local Sequence ◽  
Sequence Effects

scholarly journals Event history analysis of dynamic networks

Biometrika ◽  
2020 ◽  
Author(s):  
T Sit ◽  
Z Ying ◽  
Y Yu
Keyword(s):  
Event History Analysis ◽  
Dynamic Networks ◽  
Partial Likelihood ◽  
Event History ◽  
Dependence Structure ◽  
Counting Processes ◽  
Asymptotic Results ◽  
History Analysis ◽  
History Of ◽  
Likelihood Approach

Summary Statistical analysis on networks has received growing attention due to demand from various emerging applications. In dynamic networks, one of the key interests is to model the event history of time-stamped interactions among nodes. We model dynamic directed networks via multivariate counting processes. A pseudo partial likelihood approach is exploited to capture the network dependence structure. Asymptotic results are established. Numerical experiments are performed to demonstrate the effectiveness of our proposal.

Heterogeneous Capture-Recapture Models with Covariates: A Partial Likelihood Approach for Closed Populations

Biometrics ◽  
2011 ◽  
Vol 67 (4) ◽  
pp. 1659-1665 ◽  
Author(s):  
Jakub Stoklosa ◽  
Wen-Han Hwang ◽  
Sheng-Hai Wu ◽  
Richard Huggins
Keyword(s):  
Partial Likelihood ◽  
Capture Recapture ◽  
Likelihood Approach ◽  
Closed Populations

The role of rDNA genes in X chromosome association in the aphid Acyrthosiphon pisum

Genome ◽  
1999 ◽  
Vol 42 (3) ◽  
pp. 381-386 ◽  
Author(s):  
Mauro Mandrioli ◽  
Davide Bizzaro ◽  
Monica Giusti ◽  
Gian Carlo Manicardi ◽  
Umberto Bianchi
Keyword(s):  
X Chromosome ◽  
Acyrthosiphon Pisum ◽  
Chromosome Association ◽  
Rdna Genes
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