Main Logistic Regression Sample Clauses

Main Logistic Regression.ย This study utilized a logistic regression model to examine the focal relationship between patient ๐‘–โ€™s COC at baseline (๐‘ก โˆ’ 1) with their experience of functional decline in the subsequent year ๐‘ก. ๐น๐ท๐‘–๐‘ก = ๐›ฝ0 + ๐›ฝ1๐ถ๐‘‚๐ถ๐‘–๐‘กโˆ’1 + ๐›ฝ2๐ธ&๐‘€๐‘–๐‘กโˆ’1 + ๐›ฝ3๐‘ƒ๐‘–๐‘กโˆ’1 + ๐›ฝ4๐ท๐‘–๐‘กโˆ’1 + ๐›ฝ5๐‘‹๐‘–๐‘กโˆ’1 + ๐‘Œ๐‘ก + ๐œ€๐‘–๐‘ก ๐น๐ท๐‘–๐‘ก represents the outcome variables of functional decline in the subsequent year ๐‘ก, and ๐ถ๐‘‚๐ถ๐‘–๐‘กโˆ’1 represents the level of COC the patient experiences at baseline. ๏ฟฝ๏ฟฝ&๐‘€๐‘–๐‘กโˆ’1 is the count variable for the number of E&M visits a patient has at baseline, and ๐‘ƒ๐‘–๐‘กโˆ’1 and ๐ท๐‘–๐‘กโˆ’1 are indicator for involvement of PCP and disease-relevant specialists at baseline, respectively. A year fixed effect is included in the regression model as well to account for any development of new clinical trials for ADRD and any changes in the healthcare delivery patterns for this population. This study reported the marginal effects, measuring the probability/incidence of experiencing functional decline in ADL and IADL with one level change of COC. Longitudinal weights were applied since the MCBSโ€™ oversample of the oldest old.
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