Results 61 to 70 of about 269 (152)
The positivity assumption is central in the identification of a causal effect. Especially its stochastic variant is an issue many applied researchers face.
Ring Katharina, Schomaker Michael
doaj +1 more source
Missing data methods in longitudinal studies: a review
Expectation-maximization algorithm, Incomplete data, Missing completely at random, Missing at random, Missing not at random, Pattern-mixture model, Selection model, Sensitivity analyses, Shared-parameter model, 62J05, 62J12, 62P10,
Geert Molenberghs, Joseph Ibrahim
core +1 more source
An Application of ISO 5725 in Brewing Industry [PDF]
2002 Mathematics Subject Classification: 62P30, 62P10.The colloidal stability is very important part of the total beer quality. The stabilized beers have to have a long shelf-life.
Mateev, P. +3 more
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Mediation analyses for the effect of antibodies in vaccination
We review standard mediation assumptions as they apply to identifying antibody effects in a randomized vaccine trial and propose new study designs to allow the identification of an estimand that was previously unidentifiable. For these mediation analyses,
Fay Michael P., Follmann Dean A.
doaj +1 more source
Strong Consistency of the Conditional Least Squares Estimator for a Nonstationary Process. Example of the Garch Model [PDF]
2000 Mathematics Subject Classification: Primary: 62M10, 62J02, 62F12, 62M05, 62P05, 62P10; secondary: 60G46, 60F15.We consider the Conditional Least Squares Estimator (CLSE) of a unknown parameter θ0 ∈ Rp of the conditional expectation of a real ...
Jacob, Christine
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Population size estimation based on estimating functions for closed capture-recapture models
[[abstract]]This paper explores a unified approach to inference on the size of a closed population using capture-recapture data where time, behavior or heterogeneity may affect the capture probabilities. The unifying idea is that of an optimal estimating
Chao A;Yip PSF;Lee SM;Chu WT
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Inverse probability (IP) weighting of marginal structural models (MSMs) can provide consistent estimators of time-varying treatment effects under correct model specifications and identifiability assumptions, even in the presence of time-varying ...
Seya Nodoka +2 more
doaj +1 more source
Modeling Data for Complications in Diabetics Using Logistic Regression [PDF]
2010 Mathematics Subject Classification: 62P10.A prospective study of the relationship between some clinical parameters, genetic markers and complications of the patients with diabetes is considered.
Pashkunova, S., Prodanova, K.
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Stochastic modeling of group testing with random total sample size
In the classical Dorfman group testing procedure Dorfman (1943), a fixed population of size N is divided into k pools of equal size n . Each pool is tested: a negative result clears all n individuals, whereas a positive result triggers individual testing
Benasquar Mohammed +3 more
doaj +1 more source
Logistic Regression in Modelling Data for CVC - Related Infection [PDF]
2000 Mathematics Subject Classification: 62J12, 62P10.A prospective study of all new central venous catheters (CVC) inserted for patients in intensive care unit in order to identify risk factors for CVC infection and to determine the rate of CVC related ...
Terziiski, Dimitar +2 more
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