Results 111 to 120 of about 967,632 (327)

The Quality of Statistical Information and Statistical Inference in a Rapidly Changing World [PDF]

, 1967
Frederick F. Stephan
openalex   +1 more source

Functional Connectivity Associations With Markers of Disease Progression in GRN Pathogenic Variant Carriers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Autosomal dominant progranulin (GRN) pathogenic variants are a genetic cause of frontotemporal lobar degeneration. Though clinical trials for GRN‐related therapies are underway, there is an unmet need for biomarkers that can predict symptom onset and track disease progression.
Taru M. Flagan, Stephanie A. Chu, Suvi Häkkinen, Liwen Zhang, David McFall, Jonathan D. Rohrer, Jesse A. Brown, Alex J. Lee, Kristen Fernhoff, Lorenzo Pasquini, Katherine P. Rankin, Maria Luisa Mandelli, Maria Luisa Gorno‐Tempini, Jennifer S. Yokoyama, Virginia E. Sturm, Brian Appleby, Bradford C. Dickerson, Kimiko Domoto‐Reilly, Tatiana Foroud, Daniel H. Geschwind, Nupur Ghoshal, Neill R. Graff‐Radford, Ging‐Yuek Robin Hsiung, Eric J. Huang, Edward Huey, Kejal Kantarci, Irene Litvan, Ian R. Mackenzie, Mario F. Mendez, Chiadi U. Onyike, Leonard Petrucelli, Eliana Marisa Ramos, Erik D. Roberson, Julio C. Rojas, Maria Carmela Tartaglia, Arthur W. Toga, Sandra Weintraub, Leah K. Forsberg, Hilary W. Heuer, Brad F. Boeve, Adam L. Boxer, Howard J. Rosen, Bruce L. Miller, Fermin Moreno, William W. Seeley, Suzee E. Lee, on behalf of the ALLFTD Consortium   +46 more
wiley   +1 more source

A Note on Distribution-Free Statistical Inference with Upper and Lower Probabilities [PDF]

, 1971
Rudolf Beran
openalex   +1 more source

Cognitive Impairment in Multiple Sclerosis: The Role of Clinical and Sociodemographic Factors ‐ A Systematic Review and Meta‐Analysis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive impairment (CI) affects the quality of life in multiple sclerosis (MS). Identifying influencing factors is key to improving CI monitoring. This systematic review and meta‐analysis examines clinical and sociodemographic variables impacting the cognitive screening Symbol Digit Modalities Test (SDMT) performance across MS ...
Katalin Lugosi, Marie A. Engh, Tamás Kói, Zsolt Molnár, Gábor Csukly, Klaudia Horváth, Emma Hargitai, Péter Hegyi, Zsolt Mezei   +8 more
wiley   +1 more source

An open letter to evolutionary and human sciences; Statistics has moved on and so should we. A proposal for more transparent research, and some notes on p < 0.003

Quaternary Environments and Humans
Statistical reasoning and inference have become integral to how we reach conclusions as scientists. Few papers in evolutionary, biological, and human sciences, are published at present without at least one report of a p-value, or the term “statistically ...
Lloyd A. Courtenay
doaj   +1 more source

Elements of Statistical Inference.

, 1961
Willard O. Ash, Robert M. Kozelka
openalex   +3 more sources

Central limit theorems and statistical inference for finite Markov chains [PDF]

, 1974
Thomas H�glund
openalex   +1 more source

Assessing a Mitochondrial Disease Treatment via a Novel Statistical Technique for Accelerometer Data

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Therapeutic development for mitochondrial diseases, rare genetic disorders with pathogenic defects of oxidative phosphorylation, is hindered by unsatisfactory outcome measures. To address this problem, we provide the first clinical application of a novel, bias‐adjusted outcome measure of acceleration across a range of subjects ...
Ian W. McKeague, Kristin Engelstad, Yue Ge, Amber Tucker, Shufang Li, Jasim Uddin, Ziwei Zhao, John L. P. Thompson, Michio Hirano   +8 more
wiley   +1 more source

Discussion of 'Statistical inference for streamed longitudinal data'. [PDF]

Biometrika, 2023
Ning Y, Duan J.
europepmc   +1 more source

Conservative Statistical Inference

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1977
Summary It is argued that statistical problems can usefully be divided into two classes: one-person problems for which Bayesian techniques are appropriate, and many-person problems, for which Bayesian techniques are not appropriate. Two conditions are presented which it is felt that statistical procedures for many-person problems should ...
openaire   +3 more sources