cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18712/nsd-nsd3057-v2
title: Labour Force Survey 2012, Year File

description: LFS is the most important source of information about conditions on the labor market in Norway. After sample surveys in the autumn of 1971, Statistics Norway has from the 1st quarter of 1972 carried out such surveys quarterly according to the sample method.

The purpose of the survey is to provide information on developments in employment and unemployment, and on the connection of different population groups to the labor market. In addition to providing the authorities and other interested parties with information on the state and development of the labor market, the LFS shall serve as a basis for forecasts and studies and provide research with statistical material. A large number of variables are included in the material. In addition to the demographics, mention can be made of education level, profession, industry, agreed and actual working hours, part-time employment and underemployment.

Important users are the ministries, the labor and welfare administration, research and study institutes, international organisations, mass media etc.

The labor force survey 2012, annual file is a collection file of the 4 quarterly files from 2012. The collection file also contains variables that deal with working time arrangements.
DOI: 10.18712/nsd-nsd3058-v1
title: Labour Force Survey 2013, Year File

description: LFS is the most important source of information about conditions on the labor market in Norway. After sample surveys in the autumn of 1971, Statistics Norway has from the 1st quarter of 1972 carried out such surveys quarterly according to the sample method.

The purpose of the survey is to provide information on developments in employment and unemployment, and on the connection of different population groups to the labor market. In addition to providing the authorities and other interested parties with information on the state and development of the labor market, the LFS shall serve as a basis for forecasts and studies and provide research with statistical material. A large number of variables are included in the material. In addition to the demographics, mention can be made of education level, profession, industry, agreed and actual working hours, part-time employment and underemployment.

Important users are the ministries, the labor and welfare administration, research and study institutes, international organisations, mass media etc.

The labor force survey 2013, annual file is a collection file of the 4 quarterly files from 2013. The collection file also contains variables that deal with working time arrangements.
DOI: 10.18712/nsd-nsd3058-v2
title: Labour Force Survey 2013, Year File

description: LFS is the most important source of information about conditions on the labor market in Norway. After sample surveys in the autumn of 1971, Statistics Norway has from the 1st quarter of 1972 carried out such surveys quarterly according to the sample method.

The purpose of the survey is to provide information on developments in employment and unemployment, and on the connection of different population groups to the labor market. In addition to providing the authorities and other interested parties with information on the state and development of the labor market, the LFS shall serve as a basis for forecasts and studies and provide research with statistical material. A large number of variables are included in the material. In addition to the demographics, mention can be made of education level, profession, industry, agreed and actual working hours, part-time employment and underemployment.

Important users are the ministries, the labor and welfare administration, research and study institutes, international organisations, mass media etc.

The labor force survey 2013, annual file is a collection file of the 4 quarterly files from 2013. The collection file also contains variables that deal with working time arrangements.
DOI: 10.18712/nsd-nsd3059-v1
title: Labour Force Survey 2014, Year File

description: LFS is the most important source of information about conditions on the labor market in Norway. After sample surveys in the autumn of 1971, Statistics Norway has from the 1st quarter of 1972 carried out such surveys quarterly according to the sample method.

The purpose of the survey is to provide information on developments in employment and unemployment, and on the connection of different population groups to the labor market. In addition to providing the authorities and other interested parties with information on the state and development of the labor market, the LFS shall serve as a basis for forecasts and studies and provide research with statistical material. A large number of variables are included in the material. In addition to the demographics, mention can be made of education level, profession, industry, agreed and actual working hours, part-time employment and underemployment.

Important users are the ministries, the labor and welfare administration, research and study institutes, international organisations, mass media etc.

The labor force survey 2014, annual file is a collection file of the 4 quarterly files from 2014. The collection file also contains variables that deal with working time arrangements.
DOI: 10.6084/m9.figshare.21789329
title: Supplementary Material for: RIDGE REGRESSION FOR FUNCTIONAL FORM IDENTIFICATION OF CONTINUOUS PREDICTORS OF CLINICAL OUTCOMES IN GLOMERULAR DISEASE

description: Penalized regression models can be used to identify and rank risk factors for poor quality of life or other outcomes. They often assume linear covariate associations, but the true associations may be nonlinear. There is no standard, automated method for determining optimal functional forms (shapes of relationships) between predictors and the outcome in high-dimensional data settings. We propose a novel algorithm, Ridge regression for functional form Identification of continuous PRedictors (RIPR), that models each continuous covariate with linear, quadratic, quartile, and cubic spline basis components in a ridge regression model to capture potential nonlinear relationships between continuous predictors and outcomes. We used a simulation study to test the performance of RIPR compared to standard and spline ridge regression models. Then, we applied RIPR to identify top predictors of Patient-Reported Outcomes Measurement Information System (PROMIS) adult global mental and physical health scores using demographic and clinical characteristics among N=107 glomerular disease patients enrolled in the Nephrotic Syndrome Study Network (NEPTUNE). RIPR resulted in better predictive accuracy than the standard and spline ridge regression methods in 56-80% of simulation repetitions under a variety of data characteristics. When applied to PROMIS scores in NEPTUNE, RIPR resulted in the lowest error for predicting physical scores, and the second-lowest error for mental scores. Further, RIPR identified hemoglobin quartiles as an important predictor of physical health that was missed by the other models. The RIPR algorithm can capture nonlinear functional forms of predictors that are missed by standard ridge regression models. The top predictors of PROMIS scores vary greatly across methods. RIPR should be considered alongside other machine learning models in the prediction of patient-reported outcomes and other continuous outcomes.
DOI: 10.6084/m9.figshare.21789329.v1
title: Supplementary Material for: RIDGE REGRESSION FOR FUNCTIONAL FORM IDENTIFICATION OF CONTINUOUS PREDICTORS OF CLINICAL OUTCOMES IN GLOMERULAR DISEASE

description: Penalized regression models can be used to identify and rank risk factors for poor quality of life or other outcomes. They often assume linear covariate associations, but the true associations may be nonlinear. There is no standard, automated method for determining optimal functional forms (shapes of relationships) between predictors and the outcome in high-dimensional data settings. We propose a novel algorithm, Ridge regression for functional form Identification of continuous PRedictors (RIPR), that models each continuous covariate with linear, quadratic, quartile, and cubic spline basis components in a ridge regression model to capture potential nonlinear relationships between continuous predictors and outcomes. We used a simulation study to test the performance of RIPR compared to standard and spline ridge regression models. Then, we applied RIPR to identify top predictors of Patient-Reported Outcomes Measurement Information System (PROMIS) adult global mental and physical health scores using demographic and clinical characteristics among N=107 glomerular disease patients enrolled in the Nephrotic Syndrome Study Network (NEPTUNE). RIPR resulted in better predictive accuracy than the standard and spline ridge regression methods in 56-80% of simulation repetitions under a variety of data characteristics. When applied to PROMIS scores in NEPTUNE, RIPR resulted in the lowest error for predicting physical scores, and the second-lowest error for mental scores. Further, RIPR identified hemoglobin quartiles as an important predictor of physical health that was missed by the other models. The RIPR algorithm can capture nonlinear functional forms of predictors that are missed by standard ridge regression models. The top predictors of PROMIS scores vary greatly across methods. RIPR should be considered alongside other machine learning models in the prediction of patient-reported outcomes and other continuous outcomes.
DOI: 10.18712/nsd-nsd3059-v2
title: Labour Force Survey 2014, Year File

description: LFS is the most important source of information about conditions on the labor market in Norway. After sample surveys in the autumn of 1971, Statistics Norway has from the 1st quarter of 1972 carried out such surveys quarterly according to the sample method.

The purpose of the survey is to provide information on developments in employment and unemployment, and on the connection of different population groups to the labor market. In addition to providing the authorities and other interested parties with information on the state and development of the labor market, the LFS shall serve as a basis for forecasts and studies and provide research with statistical material. A large number of variables are included in the material. In addition to the demographics, mention can be made of education level, profession, industry, agreed and actual working hours, part-time employment and underemployment.

Important users are the ministries, the labor and welfare administration, research and study institutes, international organisations, mass media etc.

The labor force survey 2014, annual file is a collection file of the 4 quarterly files from 2014. The collection file also contains variables that deal with working time arrangements.
DOI: 10.18712/nsd-nsd3060-v1
title: Labour Force Survey 2015, Year File

description: LFS is the most important source of information about conditions on the labor market in Norway. After sample surveys in the autumn of 1971, Statistics Norway has from the 1st quarter of 1972 carried out such surveys quarterly according to the sample method.

The purpose of the survey is to provide information on developments in employment and unemployment, and on the connection of different population groups to the labor market. In addition to providing the authorities and other interested parties with information on the state and development of the labor market, the LFS shall serve as a basis for forecasts and studies and provide research with statistical material. A large number of variables are included in the material. In addition to the demographics, mention can be made of education level, profession, industry, agreed and actual working hours, part-time employment and underemployment.

Important users are the ministries, the labor and welfare administration, research and study institutes, international organisations, mass media etc.

The labor force survey 2015, annual file is a collection file of the 4 quarterly files from 2015. The collection file also contains variables that deal with working time arrangements.
DOI: 10.18712/nsd-nsd3060-v2
title: Labour Force Survey 2015, Year File

description: LFS is the most important source of information about conditions on the labor market in Norway. After sample surveys in the autumn of 1971, Statistics Norway has from the 1st quarter of 1972 carried out such surveys quarterly according to the sample method.

The purpose of the survey is to provide information on developments in employment and unemployment, and on the connection of different population groups to the labor market. In addition to providing the authorities and other interested parties with information on the state and development of the labor market, the LFS shall serve as a basis for forecasts and studies and provide research with statistical material. A large number of variables are included in the material. In addition to the demographics, mention can be made of education level, profession, industry, agreed and actual working hours, part-time employment and underemployment.

Important users are the ministries, the labor and welfare administration, research and study institutes, international organisations, mass media etc.

The labor force survey 2015, annual file is a collection file of the 4 quarterly files from 2015. The collection file also contains variables that deal with working time arrangements.
DOI: 10.18712/nsd-nsd3061-v1
title: Labour Force Survey 2016, Year File

description: LFS is the most important source of information about conditions on the labor market in Norway. After sample surveys in the autumn of 1971, Statistics Norway has from the 1st quarter of 1972 carried out such surveys quarterly according to the sample method.

The purpose of the survey is to provide information on developments in employment and unemployment, and on the connection of different population groups to the labor market. In addition to providing the authorities and other interested parties with information on the state and development of the labor market, the LFS shall serve as a basis for forecasts and studies and provide research with statistical material. A large number of variables are included in the material. In addition to the demographics, mention can be made of education level, profession, industry, agreed and actual working hours, part-time employment and underemployment.

Important users are the ministries, the labor and welfare administration, research and study institutes, international organisations, mass media etc.

The labor force survey 2016, annual file is a collection file of the 4 quarterly files from 2016. The collection file also contains variables that deal with working time arrangements.
DOI: 10.18712/nsd-nsd3061-v2
title: Labour Force Survey 2016, Year File

description: LFS is the most important source of information about conditions on the labor market in Norway. After sample surveys in the autumn of 1971, Statistics Norway has from the 1st quarter of 1972 carried out such surveys quarterly according to the sample method.

The purpose of the survey is to provide information on developments in employment and unemployment, and on the connection of different population groups to the labor market. In addition to providing the authorities and other interested parties with information on the state and development of the labor market, the LFS shall serve as a basis for forecasts and studies and provide research with statistical material. A large number of variables are included in the material. In addition to the demographics, mention can be made of education level, profession, industry, agreed and actual working hours, part-time employment and underemployment.

Important users are the ministries, the labor and welfare administration, research and study institutes, international organisations, mass media etc.

The labor force survey 2016, annual file is a collection file of the 4 quarterly files from 2016. The collection file also contains variables that deal with working time arrangements.
DOI: 10.18712/nsd-nsd3062-v1
title: Labour Force Survey 2017, Year File

description: LFS is the most important source of information about conditions on the labor market in Norway. After sample surveys in the autumn of 1971, Statistics Norway has from the 1st quarter of 1972 carried out such surveys quarterly according to the sample method.

The purpose of the survey is to provide information on developments in employment and unemployment, and on the connection of different population groups to the labor market. In addition to providing the authorities and other interested parties with information on the state and development of the labor market, the LFS shall serve as a basis for forecasts and studies and provide research with statistical material. A large number of variables are included in the material. In addition to the demographics, mention can be made of education level, profession, industry, agreed and actual working hours, part-time employment and underemployment.

Important users are the ministries, the labor and welfare administration, research and study institutes, international organisations, mass media etc.

The labor force survey 2017, annual file is a collection file of the 4 quarterly files from 2017. The collection file also contains variables that deal with working time arrangements.
DOI: 10.18712/nsd-nsd3062-v2
title: Labour Force Survey 2017, Year File

description: LFS is the most important source of information about conditions on the labor market in Norway. After sample surveys in the autumn of 1971, Statistics Norway has from the 1st quarter of 1972 carried out such surveys quarterly according to the sample method.

The purpose of the survey is to provide information on developments in employment and unemployment, and on the connection of different population groups to the labor market. In addition to providing the authorities and other interested parties with information on the state and development of the labor market, the LFS shall serve as a basis for forecasts and studies and provide research with statistical material. A large number of variables are included in the material. In addition to the demographics, mention can be made of education level, profession, industry, agreed and actual working hours, part-time employment and underemployment.

Important users are the ministries, the labor and welfare administration, research and study institutes, international organisations, mass media etc.

The labor force survey 2017, annual file is a collection file of the 4 quarterly files from 2017. The collection file also contains variables that deal with working time arrangements.
DOI: 10.18712/nsd-nsd3063-v1
title: Labour Force Survey 2018, Year File

description: LFS is the most important source of information about conditions on the labor market in Norway. After sample surveys in the autumn of 1971, Statistics Norway has from the 1st quarter of 1972 carried out such surveys quarterly according to the sample method.

The purpose of the survey is to provide information on developments in employment and unemployment, and on the connection of different population groups to the labor market. In addition to providing the authorities and other interested parties with information on the state and development of the labor market, the LFS shall serve as a basis for forecasts and studies and provide research with statistical material. A large number of variables are included in the material. In addition to the demographics, mention can be made of education level, profession, industry, agreed and actual working hours, part-time employment and underemployment.

Important users are the ministries, the labor and welfare administration, research and study institutes, international organisations, mass media etc.

The labor force survey 2018, annual file is a collection file of the 4 quarterly files from 2018. The collection file also contains variables that deal with working time arrangements.
DOI: 10.18712/nsd-nsd3063-v2
title: Labour Force Survey 2018, Year File

description: LFS is the most important source of information about conditions on the labor market in Norway. After sample surveys in the autumn of 1971, Statistics Norway has from the 1st quarter of 1972 carried out such surveys quarterly according to the sample method.

The purpose of the survey is to provide information on developments in employment and unemployment, and on the connection of different population groups to the labor market. In addition to providing the authorities and other interested parties with information on the state and development of the labor market, the LFS shall serve as a basis for forecasts and studies and provide research with statistical material. A large number of variables are included in the material. In addition to the demographics, mention can be made of education level, profession, industry, agreed and actual working hours, part-time employment and underemployment.

Important users are the ministries, the labor and welfare administration, research and study institutes, international organisations, mass media etc.

The labor force survey 2018, annual file is a collection file of the 4 quarterly files from 2018. The collection file also contains variables that deal with working time arrangements.
DOI: 10.18712/nsd-nsd3064-v1
title: Labour Force Survey 2019, Year File

description: LFS is the most important source of information about conditions on the labor market in Norway. After sample surveys in the autumn of 1971, Statistics Norway has from the 1st quarter of 1972 carried out such surveys quarterly according to the sample method.

The purpose of the survey is to provide information on developments in employment and unemployment, and on the connection of different population groups to the labor market. In addition to providing the authorities and other interested parties with information on the state and development of the labor market, the LFS shall serve as a basis for forecasts and studies and provide research with statistical material. A large number of variables are included in the material. In addition to the demographics, mention can be made of education level, profession, industry, agreed and actual working hours, part-time employment and underemployment.

Important users are the ministries, the labor and welfare administration, research and study institutes, international organisations, mass media etc.

The labor force survey 2019, annual file is a collection file of the 4 quarterly files from 2019. The collection file also contains variables that deal with working time arrangements.
DOI: 10.18712/nsd-nsd3064-v2
title: Labour Force Survey 2019, Year File

description: LFS is the most important source of information about conditions on the labor market in Norway. After sample surveys in the autumn of 1971, Statistics Norway has from the 1st quarter of 1972 carried out such surveys quarterly according to the sample method.

The purpose of the survey is to provide information on developments in employment and unemployment, and on the connection of different population groups to the labor market. In addition to providing the authorities and other interested parties with information on the state and development of the labor market, the LFS shall serve as a basis for forecasts and studies and provide research with statistical material. A large number of variables are included in the material. In addition to the demographics, mention can be made of education level, profession, industry, agreed and actual working hours, part-time employment and underemployment.

Important users are the ministries, the labor and welfare administration, research and study institutes, international organisations, mass media etc.

The labor force survey 2019, annual file is a collection file of the 4 quarterly files from 2019. The collection file also contains variables that deal with working time arrangements.