curves, the Fine-Gray competing risk hazards model and logistic regression models were used to determine group differences in cause-specific mortality. RESULTS... GR Pesola,M Argos,VM Chinchilli,... - 《J Epidemiol Community Health》 被引量: 3发表: 2016年 Associations of Suboptimal Growth with...
Rob C.M. van Kruijsdijk
regression stata.com Description Options Acknowledgment Quick start Remarks and examples References Menu Stored results Also see Syntax Methods and formulas Description stcrreg fits, via maximum likelihood, competing-risks regression models on st data, according to the method of Fine and Gray (1999)....
was smaller than 0.3; otherwise, the field is colored in gray. Full size image Multi-ancestry meta-analysis We carried out a multi-ancestry meta-analysis using data from studies conducted in participants of African, East Asian and South Asian ancestry and Hispanic/Latin American samples (...
“best” logistic regression model. First, we individually transformed each of the five predictor variables using each of the 6 functions and compared Akaike’s Information Criterion (AIC) of the models (5 variables × 6 transformations = 30 models). The best model (lowest AIC) was ...
The gray error bars in each panel represent 2 * standard errors. The diagonal red line in each panel shows the expected line when the PIP statistics are calibrated. Points below the diagonal line imply that the corresponding PIPs are larger than expected, suggesting more false discoveries than ...
We fit the models via Markov chain Monte Carlo and obtained posterior samples of all the unknown parameters. The data and statistical models fit with R 4.0.4 and JAGS 4.3.0 have been made available with the paper. The technical details of the BH-ZINB-DL model are ...
withp-values less than 0.2 implying the significance of the variables. All the association tests used a two-sided test. Fine and Gray competing risk regression [26] was used to calculate sub-distribution hazard ratios (sHR) with 95% confidence intervals for the different factors. Competing event...
Unlike more traditional epidemiological studies which implement logistic regression to estimate impact of air pollution on the risk of preterm birth, with our approach we aim to answer to the same objective with an additional constraint related to spatial distribution of the health event. For example...
In survival analysis, there are 2 key questions that can be addressed using competing risk regression models: first, which covariates affect the rate at which events occur, and second, which covariates affect the probability of an event occurring over time. The cause‐specific hazard model ...