Medicine & Life Sciences
Multiple Sclerosis
100%
Accelerometry
83%
Nutrition Surveys
47%
Neuroimaging
35%
Magnetic Resonance Imaging
35%
Brain
33%
Optical Coherence Tomography
30%
Sleep
28%
Exercise
28%
Datasets
28%
Wearable Electronic Devices
26%
Mortality
22%
Principal Component Analysis
22%
Arsenic
22%
Linear Models
21%
Cadmium
20%
Atrophy
20%
Optic Neuritis
19%
White Matter
19%
Population
19%
Wrist
19%
Ganglia
19%
Sleep Apnea Syndromes
18%
Health
18%
Walking
18%
Software
17%
Longitudinal Studies
16%
Baltimore
16%
Confidence Intervals
15%
Cohort Studies
14%
Heart
13%
Bayes Theorem
13%
Calibration
13%
Diffusion Tensor Imaging
12%
Body Mass Index
12%
poly(divinyl-co-N-vinylpyrrolidinone)
12%
Urine
12%
Hip
12%
Nerve Fibers
11%
Data Analysis
11%
Biostatistics
10%
Area Under Curve
10%
Acceleration
9%
Glucose
9%
Heart Rate
9%
Biomarkers
9%
Gray Matter
9%
Cardiovascular Diseases
8%
Stroke
8%
Tomography
8%
Mathematics
Sleep
56%
Functional Data
44%
Regression
44%
Penalized Splines
41%
Functional Principal Component Analysis
39%
Imaging
30%
Functional Model
30%
Accelerometer
26%
Likelihood Ratio Test
25%
Neuroimaging
25%
Health
25%
Software
23%
Predictors
21%
Multiple Sclerosis
21%
Covariates
20%
Brain
20%
Model
18%
Framework
18%
Mixed Model
18%
Modeling
17%
Covariance Estimation
15%
Cohort Study
15%
Testing
15%
Smoothing
15%
Tensor
15%
Methodology
15%
Likelihood
14%
Measurement Error
14%
Functional Magnetic Resonance Imaging
13%
Simulation
13%
Mixed Effects
12%
High-dimensional Data
12%
Heart
12%
Mixed Effects Model
12%
Longitudinal Study
11%
Linear Mixed Model
11%
Variance Components
11%
Functional Linear Model
11%
Semiparametric Regression
11%
Voxel
11%
Null hypothesis
11%
Functional Data Analysis
11%
Prediction
11%
WinBUGS
10%
Smoking
10%
Human
10%
Principal Components
10%
Baseline
10%
Sparse Data
9%
Glucose
9%
Business & Economics
Principal Component Analysis
41%
Splines
40%
Sleep
25%
Mixed Model
25%
Likelihood Ratio Test
25%
Smoothing
24%
Multiple Sclerosis
22%
Imaging
21%
Predictors
20%
Software
17%
Simulation
12%
Variance Components
12%
Bayesian Analysis
12%
Measurement Error
12%
Bootstrap
11%
Likelihood Ratio
11%
Regression Model
11%
Inference
10%
Cox Model
10%
Functional Magnetic Resonance Imaging
10%
Physical Activity
10%
Nonlinear Regression
9%
Nonparametric Regression
9%
Spline Regression
9%
Simulation Study
8%
Modeling
8%
Intensive Care Unit
7%
Longitudinal Study
7%
Statistics
7%
Computed Tomography
7%
Health
7%
Principal Components
7%
Approximation
7%
Child Growth
7%
Identifiability
6%
Longitudinal Data
6%
Variable Selection
6%
Nonparametric Model
6%
Instrumental Variables
6%
Random Intercepts Model
6%
Confidence Interval
6%
Decomposition
6%
Dimensionality Reduction
5%
Matrix
5%
Health Outcomes
5%