Results 91 to 100 of about 3,879,175 (152)

Toward Robust Neuroanatomical Normative Models: Influence of Sample Size and Covariates Distributions

Elleaume C, Hebling Vieira B, Floris DL, Langer N, the Australian Imaging Biomarkers and Lifestyle flagship study of ageing.   +4 more
europepmc   +1 more source

A decomposition of Fisher's information to inform sample size for developing or updating fair and precise clinical prediction models - part 2: time-to-event outcomes. [PDF]

Diagn Progn Res
Riley RD, Collins GS, Archer L, Whittle R, Legha A, Kirton L, Dhiman P, Sadatsafavi M, Adderley NJ, Alderman J, Martin GP, Ensor J.   +11 more
europepmc   +1 more source

Sample size matters when estimating test-retest reliability of behaviour. [PDF]

Behav Res Methods
Williams B, FitzGibbon L, Brady D, Christakou A.   +3 more
europepmc   +1 more source

Power and Sample Size Calculation for Multivariate Longitudinal Trials Using the Longitudinal Rank Sum Test. [PDF]

Stat Med
Ghosh D, Xu X, Luo S, CPP Integrated Parkinson's Database.   +3 more
europepmc   +1 more source

Why is a small sample size not enough? [PDF]

Oncologist
Cao Y, Chen RC, Katz AJ.
europepmc   +1 more source

Extended sample size calculations for evaluation of prediction models using a threshold for classification. [PDF]

BMC Med Res Methodol
Whittle R, Ensor J, Archer L, Collins GS, Dhiman P, Denniston A, Alderman J, Legha A, van Smeden M, Moons KG, Cazier JB, Riley RD, Snell KIE.   +12 more
europepmc   +1 more source

Predicting vector distribution in Europe: at what sample size are species distribution models reliable? [PDF]

Front Vet Sci
Mitchel L, Hendrickx G, MacLeod ET, Marsboom C.   +3 more
europepmc   +1 more source

Power and sample size for reversible linear mixed models with clustering and longitudinality: GLIMMPSE Version 3. [PDF]

PLoS One
Glueck DH, Li Q, Macleod AJ, Litkowski EM, Yang X, Bian J, Ritzhaupt AD, Sommer M, Valle N, Shaw JR, Muller KE.   +10 more
europepmc   +1 more source

Optimizing Early Ophthalmology Clinical Trials: Home OCT and Modeling Can Reduce Sample Size by 20% to 40. [PDF]

Transl Vis Sci Technol
Hermes J, Steiert B.
europepmc   +1 more source

Analysis of the sample size used in clinical MRI studies. [PDF]

PLoS One
Bögerl CM, Laun FB, Nagel AM, Bickelhaupt S, Uder M, Hanspach J.   +5 more
europepmc   +1 more source