Efficiency comparison of methods for estimation in longitudinal regression models

2001 ◽  
Vol 55 (2) ◽  
pp. 125-135 ◽  
Author(s):  
Roger P. Qu ◽  
Jun Shao ◽  
Mari Palta
2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1087-1087
Author(s):  
Rachel Rickman ◽  
Charlotte Lane ◽  
Shalean Collins ◽  
Joshua Miller ◽  
Amy Nichols ◽  
...  

Abstract Objectives HIV-exposed and uninfected (HEU) infants may experience altered growth compared to HIV-unexposed and uninfected (HUU) infants. Most studies to date have used analytic techniques that do not reflect the dynamic trends in infant growth patterns. We therefore sought to evaluate growth patterns using 3 different analytic methods and examine the role of HIV on growth with each method. Methods Repeated measures for infant anthropometrics were taken from 6 wk to 23 mo of age in the former Nyanza region, Kenya (n = 310, 52% HEU, 50% male). We used (1) Latent Class Mixed Modeling (LCMM) to identify length-for-age z-score (LAZ) trajectory classes and then multinomial logistic regression to assess how HIV exposure status predicted trajectory class membership, adjusting for covariates (e.g., maternal height, food insecurity); (2) SuperImposition by Translation and Rotation (SITAR) to estimate length in terms of size and velocity (rate of growth) differences by maternal HIV status; and (3) longitudinal regression, the conventional method for analyzing growth, to estimate differences in length and LAZ based on HIV exposure. Results At 6 wks of age, HEU infants had a mean LAZ score of −1.03 ± 1.85 compared to −1.10 ± 1.83 for HUU infants. LCMM identified four LAZ trajectory classes (average 5.1 measurements/infant). Across time, class one LAZ scores remained near 1; class two declined 0 to −1; class three remained near −1; and class four fluctuated between −2 and −3. In logistic regression models, HEU infants were less likely to belong to classes one (RR = 0.3; 95% CI: 0.1,0.9) and two (RR = 0.4; 95% CI: 0.2,0.7) relative to class three. Similarly, SITAR estimated that HEU infants were on average 0.62 cm shorter than HUU infants across the study (95% CI: −1.3,0.1) but there were no differences in mean linear growth velocities. Longitudinal regression models predicted that mean stature for HEU infants was 0.8 cm (95% CI: −1.5, −0.1) shorter and that mean LAZ for HEU infants was 0.4 points (95% CI: −0.7, −0.1) lower compared to HUU infants. Conclusions Across the 3 methods, HEU infants were shorter than HUU infants during the first 23 mo of life. Compared to longitudinal regression, advanced modeling with LCMM and SITAR allows for a more flexible assessment of the altered growth patterns HEU infants experience. Funding Sources NIH.


Test ◽  
2018 ◽  
Vol 28 (3) ◽  
pp. 844-878 ◽  
Author(s):  
Larissa A. Matos ◽  
Víctor H. Lachos ◽  
Tsung-I Lin ◽  
Luis M. Castro

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Abdullah Yalaman ◽  
Gokce Basbug ◽  
Ceyhun Elgin ◽  
Alison P. Galvani

AbstractThe coronavirus disease (COVID-19) outbreak has killed over a million people since its emergence in late 2019. However, there has been substantial variability in the policies and intensity of diagnostic efforts between countries. In this paper, we quantitatively evaluate the association between national contact tracing policies and case fatality rates of COVID-19 in 138 countries. Our regression analyses indicate that countries that implement comprehensive contact tracing have significantly lower case fatality rates. This association of contact tracing policy and case fatality rates is robust in our longitudinal regression models, even after controlling for the number of tests conducted and non-pharmaceutical control measures adopted by governments. Our results suggest that comprehensive contact tracing is instrumental not only to curtailing transmission but also to reducing case fatality rates. Contact tracing achieves the early detection and isolation of secondary cases which are particularly important given that the peak in infectiousness occurs during the presymptomatic phase. The early detection achieved by contact tracing accelerates the rate at which infected individuals receive medical care they need to maximize their chance of recovery. In addition, the combination of reduced transmission and more rapid recovery diminishes the burden on the healthcare system which in turn ensures that the resources remain available for individuals who do become infected.


2004 ◽  
Vol 18 (10) ◽  
pp. 451-464 ◽  
Author(s):  
Kjetil Jørgensen ◽  
Vegard Segtnan ◽  
Kari Thyholt ◽  
Tormod Naes

Sign in / Sign up

Export Citation Format

Share Document