Poisson regression model with robust estimation for the effect of intervention on overweight/obesity.Renata, SchwartzÁlvaro, VigoLuciana, Dias de OliveiraElsa, Regina Justo Giugliani
泊松回归(Poisson regression)是以结局变量为计数结果时的一种回归分析。泊松回归在我们的生活中应用非常广泛,例如:1分钟内过马路人数,1天内火车站的旅客流动数,1天内的银行取钱人数,一周内的销售经营数据等等都可以使用泊松回归进行分析。 今天我们来说说怎么使用R语言进行泊松回归分析,需要使用到robust包和qcc包,先...
Robust designs for Poisson regression models,” Technometrics - McGree, Eccleston - 2011 () Citation Context ... results can be applied in steps 1 and 2 to a minimum-support D-optimal design. For step 1 algorithmic approaches (Woods et al., 2006) or theoretical results (Russell et al.,...
The function requires initial estimates of the outcome regression and propensity score which can be passed directly tonpRRWorkingModel()or can be estimated internally using thesl3ensemble machine learningRpackage. Data-structure This package is based on the data structure(W, A, Y)whereWis a covari...
This study delves into the intricacies of addressing multicollinearity and outliers in Poisson regression modeling. Our examination encompasses a comprehensive survey of well-established methodologies, such as the ridge estimator and MT-estimator, and recent innovations like the enhanced ridge-type estimator...
Enhancing performance in the presence of outliers with redescending M-estimators Article Open access 12 June 2024 New ridge parameter estimators for the quasi-Poisson ridge regression model Article Open access 11 April 2024 Introduction Linear regression models are popularly adopted to predict the ...
We introduce an approach for incorporating dependence between outcomes from a Poisson regression model, with the possibility of incorporating covariate inf... G Shaddick,LL Choo,SG Walker - 《Journal of Statistical Computation & Simulation》 被引量: 15发表: 2007年 加载更多来源...
D Saremian,R Noorossana,S Raissi,... - 《Quality & Reliability Engineering International》 被引量: 0发表: 2022年 Conway–Maxwell Poisson regression‐based control charts under iterative Liu estimator for monitoring count data GENERALIZED LINEAR-MODELPHASE-I ANALYSISRIDGE-REGRESSIONDISCRETE-DATADuring ...
regress — Linear regression 3 Options £ £ Model noconstant; see [R] Estimation options. hascons indicates that a user-defined constant or its equivalent is specified among the independent vari- ables in indepvars. Some caution is recommended when specifying this option, as ...
Robust optimization works in finance either model parameters such as the mean and covariance of stock returns as being subject to parameter ambiguity, or the stock returns themselves as being uncertain parameters in known uncertainty sets. Fabozzi, Kolm, Pachamanova, and Focardi (2007) describe exten...