Owing to their simplicity and the direct biological interpretation of model parameters, these models have be- come one of the most common tools for both predicting germination as well as understanding the physiology of germination responses to environmental factors. However, these models are usually ...
For this purpose we use a Cox proportional hazards model that takes as input text and subreddit network features and outputs a probability distribution for the time until a Reddit user posts on r/suicidewatch. In our analysis we find a number of statistically significant features that predict ...
Gender and WHO stage were found to be significantly associated with the composite of unfavourable outcomes, HR = 1.56, 95% CI:1.27–1.90, HR = 1.28, 95% CI: 1.06–1.55 for males and WHO stage III-or-IV, respectively for the non-CSH model. Conclusions Results show that WHO stage III-...
model time*status(0)=treated bsvalue/ ties=exact; bayes nmc= ods output partition=partition posteriorsample=postsamp; run; ods output close; data postsamp2; set postsamp; temp = (iteration - 2000 - 1)/&thin + 1; imputation = floor(temp); if imputation = temp; rename treated=beta bs...
In contrast, the results of the time-to-event model were much closer to the values obtained without capping. With capped data, the CIs were larger for the time-to-event model but smaller for both the GLM and the linear model. Figure 1 Empirical curves for the original (top) and the ...
offerinsightintothestructureofthelikelihoodformodelparametersthatclarifiesthenatureofcommonassumptions,anddescribeandcontrastsomeofourrecentproposalsforimplementationandinference.Keywordsandphrases:Conditionalscore;Likelihood;Randomeffects;Seminonparametric.∗Correspondingauthor’sphone/fax:+1919-515-1928/+1919-...
Among the topics are parametric methods, inferential methods for categorical time-to-event endpoints, an efficient alternative to the Cox model for small trials, the design and analysis of analgesic trials, antiviral trials, parametric likelihoods for multiple nonfatal competing risks and death, and ...
gamma frailty modelhypoglycemic eventsmissing at randomrecurrent eventsDiabetes affects an estimated 25.8 million people in the United States and is one of the leading causes of death. A major safety concern in treating diabetes is the occurrence of hypoglycemic events. Despite this concern, the ...
Standard methods are applied to analyze such outcomes: Kaplan-Meier curve to display the estimated survival curve, log rank test to compare survival curves of independent groups, and Cox proportional hazards to model the relationship between outcome and a set of predictor variables and covariates. ...
The proposed model can also easily incorporate time-dependent covariates. A nonparametric maximum likelihood estimator is proposed. The resulting estimators are shown to be consistent, asymptotically normal, and semiparametrically efficient. Some Monte Carlo studies are carried out to assess the finite-...