BIOMAT Database Logo BIOMAT Database Logo

The analysis of longitudinal data in epidemiologic studies. 1979

B Rosner

UI MeSH Term Description Entries
D008137 Longitudinal Studies Studies in which variables relating to an individual or group of individuals are assessed over a period of time. Bogalusa Heart Study,California Teachers Study,Framingham Heart Study,Jackson Heart Study,Longitudinal Survey,Tuskegee Syphilis Study,Bogalusa Heart Studies,California Teachers Studies,Framingham Heart Studies,Heart Studies, Bogalusa,Heart Studies, Framingham,Heart Studies, Jackson,Heart Study, Bogalusa,Heart Study, Framingham,Heart Study, Jackson,Jackson Heart Studies,Longitudinal Study,Longitudinal Surveys,Studies, Bogalusa Heart,Studies, California Teachers,Studies, Jackson Heart,Studies, Longitudinal,Study, Bogalusa Heart,Study, California Teachers,Study, Longitudinal,Survey, Longitudinal,Surveys, Longitudinal,Syphilis Studies, Tuskegee,Syphilis Study, Tuskegee,Teachers Studies, California,Teachers Study, California,Tuskegee Syphilis Studies
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D001794 Blood Pressure PRESSURE of the BLOOD on the ARTERIES and other BLOOD VESSELS. Systolic Pressure,Diastolic Pressure,Pulse Pressure,Pressure, Blood,Pressure, Diastolic,Pressure, Pulse,Pressure, Systolic,Pressures, Systolic
D001835 Body Weight The mass or quantity of heaviness of an individual. It is expressed by units of pounds or kilograms. Body Weights,Weight, Body,Weights, Body
D002648 Child A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL. Children
D002675 Child, Preschool A child between the ages of 2 and 5. Children, Preschool,Preschool Child,Preschool Children
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man

Related Publications

B Rosner
Drug data coding and analysis in epidemiologic studies.
August 1994, European journal of epidemiology,
B Rosner
Longitudinal data analysis in pedigree studies.
January 2003, Genetic epidemiology,
B Rosner
Analysis of epidemiologic case-base studies for binary data.
October 1989, Statistics in medicine,
B Rosner
Longitudinal data analysis in medical device clinical studies.
January 2008, Journal of biopharmaceutical statistics,
B Rosner
Longitudinal data analysis in genome-wide association studies.
September 2014, Genetic epidemiology,
B Rosner
Heterogeneity in meta-analysis of data from epidemiologic studies: a commentary.
August 1995, American journal of epidemiology,
B Rosner
Longitudinal, epidemiologic studies of female reproductive aging.
August 2010, Annals of the New York Academy of Sciences,
B Rosner
Missing Outcome Data in Epidemiologic Studies.
January 2023, American journal of epidemiology,
B Rosner
Methodological issues in longitudinal epidemiologic studies of dental caries.
August 1999, Community dentistry and oral epidemiology,
B Rosner
Longitudinal Studies 2: Modeling Data Using Multivariate Analysis.
January 2021, Methods in molecular biology (Clifton, N.J.),
Copied contents to your clipboard!