Results 161 to 170 of about 40,934 (281)

A More Robust Approach to Multivariable Mendelian Randomization. [PDF]

Biometrika
Wu Y, Kang H, Ye T.
europepmc   +1 more source

Modelling non‐linear psychological processes: Reviewing and evaluating non‐parametric approaches and their applicability to intensive longitudinal data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Psychological concepts are increasingly understood as complex dynamic systems that change over time. To study these complex systems, researchers are increasingly gathering intensive longitudinal data (ILD), revealing non‐linear phenomena such as asymptotic growth, mean‐level switching, and regulatory oscillations.
Jan I. Failenschmid, Leonie V. D. E. Vogelsmeier, Joris Mulder, Joran Jongerling   +3 more
wiley   +1 more source

The Cox Model With Adaptive Fused Group Bridge Penalty to Incorporate Historical Data Into the Analysis of Clinical Trials With an Application to BMT CTN 1101. [PDF]

Stat Med
Fang X, Kim S, Martens MJ, Logan BR, Woo Ahn K.   +4 more
europepmc   +1 more source

A Bayes factor framework for unified parameter estimation and hypothesis testing

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The Bayes factor, the data‐based updating factor of the prior to posterior odds of two hypotheses, is a natural measure of statistical evidence for one hypothesis over the other. We show how Bayes factors can also be used for parameter estimation.
Samuel Pawel
wiley   +1 more source

On the directional asymptotic approach in optimization theory. [PDF]

Math Program
Benko M, Mehlitz P.
europepmc   +1 more source

Enhancing generalizability theory with mixed‐effects models for heteroscedasticity in psychological measurement: A theoretical introduction with an application from EEG data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Generalizability theory (G‐theory) defines a statistical framework for assessing measurement reliability by decomposing observed variance into meaningful components attributable to persons, facets, and error. Classic G‐theory assumes homoscedastic residual variances across measurement conditions, an assumption that is often violated in ...
Philippe Rast, Peter E. Clayson
wiley   +1 more source

Heterogeneous Functional Regression for Subgroup Analysis. [PDF]

J Comput Graph Stat
Zhou Y, Jiang F.
europepmc   +1 more source

Effect of Connective Tissue Graft as an Adjunct to Guided Bone Regeneration in the Surgical Treatment of Peri‐Implantitis: A Dual‐Center Randomized Controlled Trial

Clinical Oral Implants Research, EarlyView.
ABSTRACT Objectives To evaluate whether adding a connective tissue graft (CTG) to guided bone regeneration (GBR) improves clinical and radiographic outcomes in surgical peri‐implantitis treatment. Materials and Methods Thirty‐two patients with peri‐implantitis were randomly assigned to receive GBR and CTG (test group, TG) or GBR alone (control group ...
Lucrezia Paterno Holtzman, Iva Milinkovic, Marija Vuckovic, Chiara Malpassi, Marla Cuppini, Alex Solderer, Zoran Aleksic, Luca Cordaro   +7 more
wiley   +1 more source

Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation. [PDF]

J Am Stat Assoc
Shi J, Wu Z, Dempsey W.
europepmc   +1 more source

Functional homogenization of terrestrial mammals outside protected areas in the Hengduan Mountains, China

Conservation Biology, EarlyView.
Abstract Despite the crucial role of human impacts on biodiversity loss, many assessments of this loss focus on single metrics, such as species richness, and overlook the multidimensional effects of human activities. Because of its importance to ecosystem functioning, we investigated the functional diversity of medium‐ and large‐sized mammal ...
Xueyou Li, Wenqiang Hu, Kenneth Otieno Onditi, Quan Li, Zhechang Hu, Ru Bai, Yang Liu, Hongjiao Wang, Xuelong Jiang   +8 more
wiley   +1 more source