Results 161 to 170 of about 523,434 (195)

A multivariate analysis of the outcome of endodontic treatment

European Journal of Oral Sciences, 2004
In the present study, multivariate analyses were performed on clinical and treatment variables that may influence the outcome of endodontic treatment. Data collected in a previous clinical‐radiographic follow‐up study were used. Of 810 treated, 675 roots in 498 teeth were followed for 6 months to 4 yr.
Ørstavik, D., Qvist, V., Stoltze, K.
openaire   +3 more sources

Statistical inferences for outcome dependent sampling design with multivariate outcomes

, 2009
An outcome-dependent sampling (ODS) design has been shown to be a cost-effective sampling scheme. In the ODS design with a continuous outcome variable, one observes the exposure with a probability, maybe unknown, depending on the outcome. In practice, multivariate data arise in many contexts, such as longitudinal data or cluster units.
Lu, Tsui-Shan
openaire   +3 more sources

Some of the next articles are maybe not open access.

Related searches:

Metamodeling for Policy Simulations with Multivariate Outcomes

Medical Decision Making, 2022
Purpose Metamodels are simplified approximations of more complex models that can be used as surrogates for the original models. Challenges in using metamodels for policy analysis arise when there are multiple correlated outputs of interest.
Huaiyang Zhong, Margaret L. Brandeau, Golnaz Eftekhari Yazdi, Jianing Wang, Shayla Nolen, Liesl Hagan, William W. Thompson, Sabrina A. Assoumou, Benjamin P. Linas, Joshua A. Salomon   +9 more
openaire   +2 more sources

Personalized treatment plans with multivariate outcomes

Biometrical Journal, 2020
AbstractIn this work, we propose a novel method for individualized treatment selection when the treatment response is multivariate. Our method covers any number of treatments and it can be applied for a broad set of models. The proposed method uses a Mahalanobis‐type distance measure to establish an ordering of treatments based on treatment performance
Chathura Siriwardhana, Karunarathna B. Kulasekera   +1 more
openaire   +2 more sources

Multivariate trees for mixed outcomes

Computational Statistics & Data Analysis, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Abdessamad Dine, Denis Larocque, François Bellavance   +2 more
openaire   +2 more sources

Alcoholism and the Patterning of Outcome: a multivariate analysis

British Journal of Addiction, 1986
SummaryThis study takes a particular data set deriving from 10‐year follow‐up information on 68 male alcoholics as basis for exploring patterns of outcome in multivariate terms. A Principal Components Analysis demonstrates that degree of dependence is intrinsic to the patterning of outcome.
C, Taylor, D, Brown, A, Duckitt, G, Edwards, E, Oppenheimer, M, Sheehan   +5 more
openaire   +2 more sources

Multivariate Association of Child Depression and Anxiety With Asthma Outcomes

Biological Psychiatry, 2021
Pediatric asthma is associated with increased health services utilization, missed school days, and diminished quality of life. Children with asthma also report more frequent depressive and anxiety symptoms than children without asthma, which may further worsen asthma outcomes.The current study investigated the relationship between depressive and ...
Alexandra, Kulikova, Josseline, Lopez, Anna, Antony, Dave A, Khan, Donna, Persaud, Jasmine, Tiro, Elena I, Ivleva, Alyson, Nakamura, Zena, Patel, Shane, Tipton, Tressa, Lloyd, Karen, Allen, Savitoj, Kaur, M Seth, Owitz, Ray J, Pak, Michael S, Adragna, Raymond, Chankalal, Quratulain, Humayun, Heather K, Lehman, Bruce D, Miller, Beatrice L, Wood, E Sherwood, Brown   +21 more
openaire   +2 more sources

A multivariate outcome test of covariance

2023
Abstract Multivariate analysis is becoming central in studies investigating high-throughput molecular data, yet, some important features of these data are seldom explored. Here, we present MANOCCA (Multivariate Analysis of Conditional CovAriance), a powerful method to test for the effect of a predictor on the covariance matrix of a ...
Christophe Boetto, Arthur Frouin, Léo Henches, Antoine Auvergne, Yuka Suzuki, Etienne Patin, Marius Bredon, Alec Chiu, Sriram Sankararaman, Noah Zaitlen, Sean P. Kennedy, Lluis Quintana-Murci, Darragh Duffy, Harry Sokol, Hugues Aschard   +14 more
openaire   +1 more source

Bayesian multivariate meta‐analysis with multiple outcomes

Statistics in Medicine, 2013
There has been a recent growth in developments of multivariate meta‐analysis. We extend the methodology of Bayesian multivariate meta‐analysis to the situation when there are more than two outcomes of interest, which is underexplored in the current literature.
Wei, Yinghui, Higgins, Julian P T
openaire   +4 more sources