Results 61 to 70 of about 277 (152)

Beyond conditional averages: Estimating the individual causal effect distribution

Journal of Causal Inference
In recent years, the field of causal inference from observational data has emerged rapidly. The literature has focused on (conditional) average causal effect estimation.
Post Richard A. J., van den Heuvel Edwin R.   +1 more
doaj   +1 more source

An Application of ISO 5725 in Brewing Industry [PDF]

, 2003
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., Batchvarov, V., Marinova, G., Christozov, D.   +3 more
core  

Table_1_Impact of supervisors' research style on young biomedical scientists' capacity development as measured by REDi, a novel index of crossdisciplinarity.docx

, 2022
The challenge for medical schools in Japan is to develop research activities for innovation. This study aimed at analyzing the connection between the research output of “promising researchers” (next-generation leaders in terms of research activity) and ...
Satoru Takahashi (32871), Akiko Hashiguchi (2382898), Hiroka Hamada (13824232), Keisuke Honda (13824235)   +3 more
core   +1 more source

A diagnostic to find and help combat stochastic positivity issues – with a focus on continuous treatments

Journal of Causal Inference
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

Control charts for health care monitoring under overdispersion [PDF]

, 2009
An attractive way to control attribute data from high quality processes is to wait till r $\geq$ 1 failures have occurred. The choice of r in such negative binomial charts is dictated by how much the failure rate is supposed to change during Out-of ...
Willem Albers, Albers, Willem
core   +1 more source

Mediation analyses for the effect of antibodies in vaccination

Journal of Causal Inference
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

Modeling Data for Complications in Diabetics Using Logistic Regression [PDF]

, 2013
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.
core  

Strong Consistency of the Conditional Least Squares Estimator for a Nonstationary Process. Example of the Garch Model [PDF]

, 2009
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
core  

Estimation of time-varying treatment effects using marginal structural models dependent on partial treatment history

Journal of Causal Inference
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, Taguri Masataka, Ishii Takeo   +2 more
doaj   +1 more source