Logistic Models [logistické modely]

topical
375
Terms

logistická regrese
logit modely

 

Logistic Model
Logistic Regression
Logit Models
Models, Logistic

Persistent link   https://www.medvik.cz/link/D016015
Definition

Statistical models which describe the relationship between a qualitative dependent variable (that is, one which can take only certain discrete values, such as the presence or absence of a disease) and an independent variable. A common application is in epidemiology for estimating an individual's risk (probability of a disease) as a function of a given risk factor.

Annotation
usually NIM
obvykle NIM
DUI
D016015 MeSH Browser
CUI
M0024482
Previous indexing
Models, Theoretical (1972-1989); Regression Analysis (1980-1993); Statistics (1974-1979)
History note
90
Public note
90

E Analytical, Diagnostic and Therapeutic Techniques and Equipment
E05.318.740 Statistics as Topic 13 066
E05.318.740.500 Models, Statistical 466
E05.318.740.500.475 Likelihood Functions 85
E05.318.740.500.500 Linear Models 427
E05.318.740.500.525 Logistic Models 375
E05.318.740.500.600 Models, Economic 89
E05.318.740.500.625 Nomograms 49
E05.318.740.500.700 Proportional Hazards Models 475
E05.318.740.600 Probability 275
E05.318.740.600.800 Risk 2 681
E05.318.740.600.800.450 Logistic Models 375
E05.318.740.600.800.582 Protective Factors 72
E05.318.740.600.800.715 Risk Assessment 6 016
E05.318.740.600.800.725 Risk Factors 16 475
E05.318.740.750 Regression Analysis 669
E05.318.740.750.400 Least-Squares Analysis 73
E05.318.740.750.425 Linear Models 427
E05.318.740.750.450 Logistic Models 375
E05.318.740.750.725 Proportional Hazards Models 475
E05.318.740.750.862 Spatial Regression 1
E05.599 Models, Theoretical 2 480
E05.599.835 Models, Statistical 466
E05.599.835.500 Likelihood Functions 85
E05.599.835.750 Linear Models 427
E05.599.835.875 Logistic Models 375
E05.599.835.890 Models, Economic 89
E05.599.835.895 Nomograms 49
E05.599.835.900 Proportional Hazards Models 475

N Health Care
N05.715.360.750 Statistics as Topic 13 066
N05.715.360.750.530 Models, Statistical 466
N05.715.360.750.530.450 Likelihood Functions 85
N05.715.360.750.530.460 Linear Models 427
N05.715.360.750.530.480 Logistic Models 375
N05.715.360.750.530.500 Models, Economic 89
N05.715.360.750.530.530 Nomograms 49
N05.715.360.750.530.650 Proportional Hazards Models 475
N05.715.360.750.625 Probability 275
N05.715.360.750.625.700 Risk 2 681
N05.715.360.750.625.700.450 Logistic Models 375
N05.715.360.750.625.700.570 Protective Factors 72
N05.715.360.750.625.700.690 Risk Assessment 6 016
N05.715.360.750.625.700.700 Risk Factors 16 475
N05.715.360.750.695 Regression Analysis 669
N05.715.360.750.695.440 Least-Squares Analysis 73
N05.715.360.750.695.460 Linear Models 427
N05.715.360.750.695.470 Logistic Models 375
N05.715.360.750.695.650 Proportional Hazards Models 475
N05.715.360.750.695.825 Spatial Regression 1
N06.850 Public Health 4 036
N06.850.520 Epidemiologic Methods 1 030
N06.850.520.830 Statistics as Topic 13 066
N06.850.520.830.500 Models, Statistical 466
N06.850.520.830.500.475 Likelihood Functions 85
N06.850.520.830.500.500 Linear Models 427
N06.850.520.830.500.525 Logistic Models 375
N06.850.520.830.500.600 Models, Economic 89
N06.850.520.830.500.625 Nomograms 49
N06.850.520.830.500.700 Proportional Hazards Models 475
N06.850.520.830.600 Probability 275
N06.850.520.830.600.800 Risk 2 681
N06.850.520.830.600.800.450 Logistic Models 375
N06.850.520.830.600.800.582 Protective Factors 72
N06.850.520.830.600.800.715 Risk Assessment 6 016
N06.850.520.830.600.800.725 Risk Factors 16 475
N06.850.520.830.750 Regression Analysis 669
N06.850.520.830.750.400 Least-Squares Analysis 73
N06.850.520.830.750.425 Linear Models 427
N06.850.520.830.750.450 Logistic Models 375
N06.850.520.830.750.725 Proportional Hazards Models 475
N06.850.520.830.750.862 Spatial Regression 1