Testing for causality and prognosis: etiological and prognostic models. Export

@article{citeulike:3255786, abstract = {Etiological research aims to investigate the causal relationship between putative risk factors (or determinants) and a given disease or other outcome. In contrast, prognostic research aims to predict the probability of a given clinical outcome and in this perspective the pathophysiology of the disease is not an issue. Multivariate modeling is a fundamental tool both to infer causality and to investigate prognostic factors in epidemiological research. The analytical approaches to etiological and prognostic studies are strictly dependent on the research question and imply knowledge of the main statistical procedures for model building and data interpretation. In this paper we describe the application of multivariate statistical modeling in etiological and prognostic research. We will mainly focus on the differences in model building and data interpretation between these two areas of epidemiologic research.}, address = {1CNR-IBIM, Clinical Epidemiology and Physiopathology of Renal Diseases and Hypertension of Reggio Calabria, Reggio Calabria, Italy.}, author = {Tripepi, Giovanni and Jager, Kitty J. and Dekker, Friedo W. and Zoccali, Carmine}, citeulike-article-id = {3255786}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/ki.2008.416}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/ki2008416a}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/18716602}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=18716602}, day = {20}, doi = {10.1038/ki.2008.416}, issn = {1523-1755}, journal = {Kidney international}, keywords = {cancer-crosstalk, epidemiology, instructive, interpretation, models, multivariate, primer, statistics}, month = {December}, number = {12}, pages = {1512--1515}, posted-at = {2008-09-15 05:27:03}, priority = {2}, title = {Testing for causality and prognosis: etiological and prognostic models.}, url = {http://dx.doi.org/10.1038/ki.2008.416}, volume = {74}, year = {2008} }

TY - JOUR ID - citeulike:3255786 L3 - citeulike-article-id:3255786 N2 - Etiological research aims to investigate the causal relationship between putative risk factors (or determinants) and a given disease or other outcome. In contrast, prognostic research aims to predict the probability of a given clinical outcome and in this perspective the pathophysiology of the disease is not an issue. Multivariate modeling is a fundamental tool both to infer causality and to investigate prognostic factors in epidemiological research. The analytical approaches to etiological and prognostic studies are strictly dependent on the research question and imply knowledge of the main statistical procedures for model building and data interpretation. In this paper we describe the application of multivariate statistical modeling in etiological and prognostic research. We will mainly focus on the differences in model building and data interpretation between these two areas of epidemiologic research. IS - 12 JF - Kidney international SN - 1523-1755 AD - 1CNR-IBIM, Clinical Epidemiology and Physiopathology of Renal Diseases and Hypertension of Reggio Calabria, Reggio Calabria, Italy. EP - 1515 TI - Testing for causality and prognosis: etiological and prognostic models. VL - 74 SP - 1512 KW - cancer-crosstalk KW - epidemiology KW - instructive KW - interpretation KW - models KW - multivariate KW - primer KW - statistics AU - Tripepi, Giovanni AU - Jager, Kitty AU - Dekker, Friedo AU - Zoccali, Carmine PY - 2008/12/20/ UR - http://dx.doi.org/10.1038/ki.2008.416 ER -