serw-MX  [xml]  
 


    
 DeCS Categories

B03 Bacteria .
B03.440 Gram-Negative Bacteria .
B03.440.040 Anaplasmataceae .
B03.440.040.050 Anaplasma .
B03.440.040.050.500 Anaplasma marginale .
B03.660 Proteobacteria .
B03.660.050 Alphaproteobacteria .
B03.660.050.020 Anaplasmataceae .
B03.660.050.020.050 Anaplasma .
B03.660.050.020.050.500 Anaplasma marginale .
E05 Investigative Techniques .
E05.318 Epidemiologic Methods .
E05.318.740 Statistics as Topic .
E05.318.740.400 Factor Analysis, Statistical .
H01 Natural Science Disciplines .
H01.548 Mathematics .
H01.548.832 Statistics as Topic .
N03 Health Care Economics and Organizations .
N03.219 Economics .
N03.219.151 Costs and Cost Analysis .
N03.219.151.125 Cost-Benefit Analysis .
N05 Health Care Quality, Access, and Evaluation .
N05.715 Quality of Health Care .
N05.715.360 Health Care Evaluation Mechanisms .
N05.715.360.750 Statistics as Topic .
N05.715.360.750.350 Factor Analysis, Statistical .
N06 Environment and Public Health .
N06.850 Public Health .
N06.850.520 Epidemiologic Methods .
N06.850.520.830 Statistics as Topic .
N06.850.520.830.400 Factor Analysis, Statistical .
SP4 Environmental Health .
SP4.006 Environmental Engineering .
SP4.006.067 Environmental Economics .
SP4.006.067.548 Cost-Benefit Analysis .
SP4.011 Science .
SP4.011.122 Engineering .
SP4.011.122.408 Systems Analysis .
SP4.011.122.408.604 Statistics as Topic .
SP4.011.127 Social Sciences .
SP4.011.127.413 Demography .
SP4.011.127.413.629 Statistics as Topic .
SP4.051 General Aspects .
SP4.051.497 Costs and Cost Analysis .
SP4.051.497.018 Cost-Benefit Analysis .
SP5 Epidemiology and Biostatistics .
SP5.006 Biostatistics .
SP5.006.072 Statistics as Topic .
SP8 Disasters .
SP8.473 Risk 17142 .
SP8.473.654 Hazards .
SP8.473.654.482 Geography .
SP8.473.654.482.177 Margin .
SP8.473.981 Disaster Vulnerability .
SP8.473.981.937 Socioeconomic Factors .
SP8.473.981.937.872 Cost-Benefit Analysis .
SP8.946 Disaster Management .
SP8.946.351 Impact of Disasters .
SP8.946.351.424 Damage Assessment Methodologies .
SP8.946.351.424.432 Cost-Benefit Analysis .
SP8.946.819 Prevention and Mitigation .
SP8.946.819.784 Cost-Benefit Analysis .
 
 Terms
 Synonyms & Historicals
Documents
LILACS e MDL
 
Cost-Benefit Analysis .
Benefits and Costs .
Cost Benefit .
Cost Benefit Analysis .
Cost-Effectiveness Analysis .
Cost-Utility Analysis .
Costs and Benefits .
Economic Evaluation .
Marginal Analysis .
Analyses, Cost Benefit .
Analyses, Cost-Benefit .
Analyses, Cost-Utility .
Analyses, Marginal .
Analysis, Cost Benefit .
Analysis, Cost-Benefit .
Analysis, Cost-Effectiveness .
Analysis, Cost-Utility .
Analysis, Marginal .
Cost Benefit Analyses .
Cost Benefit Data .
Cost Effectiveness Analysis .
Cost Utility Analysis .
Cost-Benefit Analyses .
Cost-Utility Analyses .
Data, Cost-Benefit .
Economic Evaluations .
Effectiveness, Cost .
Evaluation, Economic .
Evaluations, Economic .
Marginal Analyses .
Cost Effectiveness .
Cost-Benefit Data .
A method of comparing the cost of a program with its expected benefits in dollars (or other currency). The benefit-to-cost ratio is a measure of total return expected per unit of money spent. This analysis generally excludes consideration of factors that are not measured ultimately in economic terms. Cost effectiveness compares alternative ways to achieve a specific set of results. .
1.00
137870589
 
Anaplasma marginale .
A species of gram-negative bacteria and causative agent of severe bovine ANAPLASMOSIS. It is the most pathogenic of the ANAPLASMA species. .
0.70
 
Margin .
Land area adjacent to the bed of rivers, oceans or reservoirs of federal property. (Free translation from the original: Material IV - Glosario de Protección Civil, OPS, 1992) .
0.63
00
 
Statistics as Topic .
Area Analysis .
Correlation Studies .
Correlation Study .
Correlation of Data .
Data Analysis .
Estimation Technics .
Estimation Techniques .
Indirect Estimation Technics .
Indirect Estimation Techniques .
Multiple Classification Analysis .
Service Statistics .
Statistical Study .
Statistics, Service .
Tables and Charts as Topic .
Analyses, Area .
Analyses, Data .
Analyses, Multiple Classification .
Analysis, Data .
Analysis, Multiple Classification .
Area Analyses .
Classification Analyses, Multiple .
Classification Analysis, Multiple .
Data Analyses .
Data Correlation .
Data Correlations .
Estimation Technic, Indirect .
Estimation Technics, Indirect .
Estimation Technique .
Estimation Technique, Indirect .
Estimation Techniques, Indirect .
Indirect Estimation Technic .
Indirect Estimation Technique .
Multiple Classification Analyses .
Statistical Studies .
Studies, Correlation .
Studies, Statistical .
Study, Correlation .
Study, Statistical .
Technic, Indirect Estimation .
Technics, Estimation .
Technics, Indirect Estimation .
Technique, Estimation .
Technique, Indirect Estimation .
Techniques, Estimation .
Techniques, Indirect Estimation .
Data Analysis .
Statistical Methods and Procedures .
Sequential Analysis .
Cross Tabulation Analysis .
Data Comparability .
Statistical Graphs .
Diseases Measurement .
Statistical Data .
Works about the science and art of collecting, summarizing, and analyzing data that are subject to random variation. .
0.59
37576556
 
/analysis .
/assay .
/chemical analysis .
/determination .
Used for the identification or quantitative determination of a substance or its constituents and metabolites; includes the analysis of air, water, or other environmental carrier. It excludes the chemical analysis of tissues, tumors, body fluids, organisms, and plants for which "chemistry" is used. The concept applies to both methodology and results. For analysis of substances in blood, cerebrospinal fluid, and urine the specific subheading designating the fluid is used. .
0.57
 
Factor Analysis, Statistical .
Analysis, Factor .
Analysis, Statistical Factor .
Factor Analysis .
Statistical Factor Analysis .
Analyses, Factor .
Analyses, Statistical Factor .
Factor Analyses .
Factor Analyses, Statistical .
Statistical Factor Analyses .
A set of statistical methods for analyzing the correlations among several variables in order to estimate the number of fundamental dimensions that underlie the observed data and to describe and measure those dimensions. It is used frequently in the development of scoring systems for rating scales and questionnaires. .
0.55
74923773