Matemáticas
Pregnancy
100%
Longitudinal Data
70%
Random Effects
63%
Nonlinear Mixed Effects Model
62%
Bayesian Analysis
59%
Nonlinear Regression Model
43%
Model
39%
Model-based
38%
Bayesian Classification
37%
Nonlinear Effects
34%
Mixed Effects Model
33%
Nonlinear Model
32%
Hormones
31%
Bayesian Approach
30%
Heavy-tailed Distribution
28%
Predict
27%
Discriminant Analysis
27%
Random Effects Model
27%
Cure Rate Model
26%
Scale Mixture
25%
Hierarchical Model
25%
Gonadotropins
24%
Missing Data
24%
Observation
24%
Covariates
21%
Profile
19%
Gaussian distribution
19%
EM Algorithm
19%
Nonlinear Mixed Model
18%
Change-point Analysis
17%
Von Mises Distribution
17%
Parameter Estimation
17%
Misclassification Error
17%
Model-based Clustering
17%
Stress-strength Model
17%
Skew
17%
Outlier
17%
Reliability Estimation
16%
Multivariate Response
16%
Exchange rate
16%
Unit
15%
Penalized Splines
15%
Modeling
15%
Joint Model
15%
Resampling Methods
15%
Fixed Effects
14%
Growth Curve
14%
Dirichlet Process
14%
Variance Components
14%
Reliability Analysis
14%
Medicina y ciencias biológicas
Chile
70%
Bayes Theorem
32%
Pregnancy Outcome
28%
Discriminant Analysis
26%
Receptor, Melanocortin, Type 3
19%
Weight Loss
19%
Pregnant Women
18%
Peptide YY
16%
Obesity
16%
Fat-Restricted Diet
14%
Febrile Neutropenia
14%
Private Hospitals
14%
Normal Distribution
13%
Data Analysis
13%
Public Hospitals
12%
Appetite
12%
Child Development
12%
Datasets
11%
Private Sector
10%
Chronic Disease
10%
Cohort Studies
10%
Obstetrics
10%
Gastric Bypass
10%
Sample Size
10%
Gallbladder Neoplasms
10%
Population
9%
Lymphoma
9%
Leukemia
9%
Epidemiology
9%
Prospective Studies
8%
Pregnancy
8%
Hand Strength
8%
Gastrectomy
8%
Hormones
7%
Invasive Fungal Infections
7%
Plasma Volume
6%
Statistical Models
6%
Area Under Curve
6%
Population Groups
6%
Diet
5%
Bacterial Infections
5%
Fasting
5%
Gestational Age
5%
Economía y empresa
Random Effects
41%
Pregnancy
34%
Covariates
23%
Dirichlet Process
18%
Bayesian Analysis
17%
Pregnant Women
17%
Heavy-tailed Distribution
16%
Logistic Regression
16%
Nonlinear Regression
15%
Regression Analysis
15%
Growth Curve
15%
Mixed Model
14%
Hierarchical Model
13%
Outliers
10%
Normal Distribution
10%
Regression Model
9%
Parameter Estimation
8%
Maximum Likelihood
7%
Markov Chain Monte Carlo Methods
7%
Discriminant
7%
Information Criterion
7%
Simulation
7%
Deviance
6%
Elliptical Distribution
6%
Hypothesis Testing
6%
Statistical Methods
5%
Multivariate Distribution
5%
Stochastic Approximation
5%
EM Algorithm
5%
Process Model
5%
Variance Components
5%
Generalized Linear Model
5%
Repeated Measures
5%
Posterior Distribution
5%
