OBJECTIVE: This research is designed to examine demographic differences between the ACTIVE sample and the larger, nationally representative Health and Retirement Study (HRS) sample. METHOD: After describing some relevant demographics (age, education, sex, and race/ethnicity), we use three statistical methods to determine sample differences--logistic regression modeling (LRM), decision tree analysis (DTA), and post-stratification and raking methods. When some differences are found, we create sample weights that other researchers can use to adjust these differences. RESULTS: The ACTIVE sample is younger, more likely to be female, Black, and more highly educated than the HRS sample. Sample weights were created. DISCUSSION: By using the resulting sample weights, all results of ACTIVE analyses can be said to be nationally representative based on HRS demographics.
OBJECTIVE: This research is designed to examine demographic differences between the ACTIVE sample and the larger, nationally representative Health and Retirement Study (HRS) sample. METHOD: After describing some relevant demographics (age, education, sex, and race/ethnicity), we use three statistical methods to determine sample differences--logistic regression modeling (LRM), decision tree analysis (DTA), and post-stratification and raking methods. When some differences are found, we create sample weights that other researchers can use to adjust these differences. RESULTS: The ACTIVE sample is younger, more likely to be female, Black, and more highly educated than the HRS sample. Sample weights were created. DISCUSSION: By using the resulting sample weights, all results of ACTIVE analyses can be said to be nationally representative based on HRS demographics.
Authors: J B Jobe; D M Smith; K Ball; S L Tennstedt; M Marsiske; S L Willis; G W Rebok; J N Morris; K F Helmers; M D Leveck; K Kleinman Journal: Control Clin Trials Date: 2001-08
Authors: Sherry L Willis; Sharon L Tennstedt; Michael Marsiske; Karlene Ball; Jeffrey Elias; Kathy Mann Koepke; John N Morris; George W Rebok; Frederick W Unverzagt; Anne M Stoddard; Elizabeth Wright Journal: JAMA Date: 2006-12-20 Impact factor: 56.272
Authors: Karlene Ball; Daniel B Berch; Karin F Helmers; Jared B Jobe; Mary D Leveck; Michael Marsiske; John N Morris; George W Rebok; David M Smith; Sharon L Tennstedt; Frederick W Unverzagt; Sherry L Willis Journal: JAMA Date: 2002-11-13 Impact factor: 56.272
Authors: C M Schooling; W M Chan; S L Leung; T H Lam; S Y Lee; C Shen; J Y Leung; G M Leung Journal: Int J Epidemiol Date: 2014-12-05 Impact factor: 7.196
Authors: Tiia Ngandu; Jenni Lehtisalo; Esko Levälahti; Tiina Laatikainen; Jaana Lindström; Markku Peltonen; Alina Solomon; Satu Ahtiluoto; Riitta Antikainen; Tuomo Hänninen; Antti Jula; Francesca Mangialasche; Teemu Paajanen; Satu Pajala; Rainer Rauramaa; Timo Strandberg; Jaakko Tuomilehto; Hilkka Soininen; Miia Kivipelto Journal: Int J Environ Res Public Health Date: 2014-09-10 Impact factor: 3.390